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Vendor Name : IBM
Exam Code : C2090-311
Exam Name : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Questions and Answers : 30 Q & A
Updated On : April 25, 2019
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IBM C2090-311 Exam (IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1) Detailed Information

C2090-311 Test Information / Examination Information

Number of questions : 30
Time allowed in minutes: 60
Required passing score : 60%
Languages : English

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IBM Brings energetic-energetic Mirroring Into Db2 For i Database

April 24, 2019 Timothy Prickett Morgan

As a platform that is approaching forty years of deployment within firms that may’t afford downtime with their mission crucial programs – that’s counting the system/38 as well as the AS/400 and its observe-ons as a part of the equal continuum – it isn't any shock at all that IBM midrange programs operating RPG and COBOL had one of the most subtle – and perhaps the best application-centric – clustering utility ever developed.

Concurrent with the launch of IBM i 7.4 this week, large Blue is rolling out a brand new sort of database clustering, which is called Db2 mirror, it's supposed for customers who can not have any possibility of downtime whatsoever in their transaction processing techniques. Db2 reflect is a supplemental function to the Db2 for i database and is just accessible on Power8 and Power9 programs working IBM i 7.four. it's also a bit of different from the excessive availability clustering equipment offered by means of Maxava, Syncsort (which ate imaginative and prescient options, which got opponents iTera in 2006 and Lakeview expertise in 2007), DataMirror (which IBM purchased in 2007 and then sold to Rocket software in 2012), and Sheild superior solutions, and we are frankly attempting to figure out just how diverse.

What we are able to let you know is that Db2 reflect creates what is known as an energetic-lively database cluster throughout two machines. Which is different from the energetic-passive setups that many business-grade high availability clustering techniques employ. in the former case, a cluster of two machines can be found to do work, and often this work will also be enjoyable and sometimes the machines are configured in such a way that transactions commit throughout a pair of machines at anything very closely approximating the same time.

This Db2 reflect setup is a little bit distinctive from fault tolerant machines from days passed by from Tandem computer systems and Stratus technologies, but is clearly inspired with the aid of it, and it's additionally impressed through database clustering technologies created with the aid of IBM, corresponding to Sysplex and Parallel Sysplex for the system z mainframe (which all started lower back in 1990) in addition to Oracle’s precise utility Clusters (or RAC), which changed into derived from the TruCluster software created through Digital gadget for its Tru64 Unix platform and is itself in line with the VAXCluster utility for the venerable VMS operating device and the RDB database for the VAX platform. Some idea little doubt comes from IBM’s personal Db2 PureScale distributed database, which changed into a distributed, parallel database extension of IBM’s Db2 database for AIX and Linux, which scaled up to 128 server nodes in a cluster, tons extra than the 32 mainframes in a Parallel Sysplex and the eight nodes in an Oracle RAC cluster. And let’s now not overlook that when IBM was having drawback scaling up its hardware with NUMA technology in the mid-1990s, it created DB2 Multisystem to created a shared nothing clustering setup similar in many ways (however by no means all) to Tandem and Stratus and Oracle Parallel Server, the predecessor to Oracle RAC. IBM’s PowerHA does disk-primarily based replication of statistics via mirrored storage arrays and high pace networks in place of database replication through remote journaling throughout a pair of servers, which has been a part of the plumbing of OS/400, i5/OS, and IBM i since 1999.

there are many the way to skin high availability clustering on the system level and on the database degree, and none of us has time to explore all of them, no count how charming it's. Suffice it to assert, Db2 replicate is a brand new means, which Steve Will, IBM i chief architect, tells us has been below construction for the past three years and springs as a result of some key IBM i shoppers have been pushing for energetic-energetic database clustering on the platform to enable them to have continuous availability – or as plenty as you could predict to have with two machines mirrored on the database degree within a single datacenter.

“Db2 replicate is not a journal-primarily based thing,” Will explains. “In Db2 reflect, when you pair two techniques collectively, every database operation occurs to the databases on each systems at the exact same time. So if you do a table replace and your utility occurs to be pointing at the database, that database operation doesn't finished that update until it has gotten to each methods. here's now not a physical replication answer like with PowerHA. a similar factor would take place with PowerHA, but you would must put that database into an impartial auxiliary storage pool (iASP) that could need to replicate to the other side. however then on the other aspect, that database wasn’t available for doing active work against it. So there is a difference here with Db2 replicate. We don't rely on journals. that you would be able to have independent ASPs, that’s nice, but we do not rely upon unbiased ASPs. You don’t ought to access the database in any particular method, historic or new fashion or whatever.”

Given how plenty lively-active clustering goes on accessible on earth – that you could get it for windows Server and Linux systems working most contemporary relational databases, and there are some in reality clever parallel, dispensed databases inspired via work executed by means of hyperscalers comparable to Google, fb, Microsoft, and Amazon that can be found as open supply as neatly – you could have thought that the Db2 for i database on the heart of the IBM i platform could have energetic-energetic clustering lengthy due to the fact. but there became one real stickler within the method: the one-degree storage structure of the device/38, the AS/four hundred, and their follow-ons.

With single level storage, the working equipment treats the ability of leading memory, disk, and now flash storage as a single continuum of addressable memory area and abstracts the transformations away so far as the database is worried. This structure is in reality genius and unique in the world, and to date handiest IBM has been able to make it work, and handiest in its midrange server line. This puts overhead on the gadget, however it has radically simplified programming, which is the hallmark of the AS/four hundred and its progeny. however single stage storage gets in the approach somewhat with lively-energetic mirroring, since it is like asking two diverse americans share the same reminiscences and not going insane.

Unix, home windows Server, and Linux energetic-lively clustering technologies have a a little less complicated time, in accordance with Will.

“a part of the intent is the how they cluster after which scale. These applied sciences really flip over the file device to the storage gadgets more than that we are able to. some of the explanations, architecturally, that IBM i has now not had lively-lively earlier than this is that we desired to be able to retain the only stage save structure however we couldn’t spread it throughout varied systems. We had to discover a method to try this, where each and every equipment nonetheless had its personal address area as a result of that single level keep is how we do our file system. nobody else has a file gadget like that. so they don’t ought to be troubled about that. as a substitute they have got hierarchical storage systems, they must spend time doing locking, and all types of other stuff that we don’t. There’s nothing incorrect with that – it’s just that’s their structure. but we necessary on the database layer become to coordinate each operation in order that each operation could be may be mirrored throughout the cluster. And the greater nodes you had, the much less probably it will be that we would be capable of meet the efficiency pursuits of many of our colossal valued clientele.”

and that's why Db2 reflect is proscribed to a pair of methods, at the least in its initial unencumber. Which is nice. shoppers who want more processing oomph can buy programs with greater sockets and shared reminiscence clustering the use of NUMA suggestions at the hardware degree. and those who need greater than that may use Db2 Multisystem to partition their database tables and run them across a cluster of up 32 machines working in parallel in a shared-nothing setup akin to these Tandem and Stratus machines. Db2 mirror isn't about scale, but continuous availability, however it is enjoyable to take into account a large IBM i cluster with up to 32 nodes working Db2 Multisystem to scale up the efficiency of machines via scaling out the hardware after which the usage of Db2 replicate to have an extra set of 32 nodes that makes it continuously accessible. The intellect reels. . . .

Db2 mirror requires the new IBM i 7.4 unencumber, which we document on elsewhere during this concern, however consumers aren't required to purchase it or deploy it any more than they have been required to buy Db2 Multisystem for greater than a decade. Like Db2 Multisystem, Db2 reflect is integrated into the platform and the database, however it is a separately licensed product – in this case, costing $20,000 per core. each IBM i 7.4 and Db2 mirror can be accessible on June 21, which is the AS/four hundred’s 31st birthday.

We may be drilling down into the structure and getting some remarks on Db2 replicate from the individuals selling HA application in response to far off journaling thoughts. What we can say presently is that Db2 mirror requires a high speed Ethernet adapter linking both machines that supports the RDMA over Converged Ethernet (RoCE) protocol, which is a clone of the remote Direct reminiscence access options built into InfiniBand switching two a long time in the past. This allows for machines to entry each and every different’s memories remotely, nevertheless it does have a distance restrict of about 200 meters (we heard 1 kilometer as neatly, but the manual says in a different way from what we have been told). What this skill is that Db2 reflect could be good for continual availability within a datacenter, however doesn’t do jack for catastrophe healing across a far flung datacenter, be it one running within the cloud by way of a provider issuer or one operated by means of a corporation itself.

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IBM speeds up DB2 10.5, remolds it as a Hadoop killer

in the new update of DB2, launched Friday, IBM has introduced a set of acceleration technologies, jointly code-named BLU, that promise to make the venerable database management gadget (DBMS) more desirable proper for operating huge in-memory statistics analysis jobs. "BLU has large merits for the analytic and reporting workloads," spoke of Tim Vincent, IBM's vice president and chief technology officer for tips administration application.

Developed with the aid of the IBM analysis and development Labs, BLU (a building code identify that stood for massive facts, Lightening quickly, ultra effortless) is a bundle of novel options for columnar processing, statistics deduplication, parallel vector processing and records compression.

The center of attention of BLU was to allow databases to be "reminiscence optimized," Vincent noted. "it'll run in memory, but you do not have to place everything in memory." The BLU expertise can also eliminate the need for a lot of hand-tuning of SQL queries to enhance efficiency.

quicker statistics analysis

on account of BLU, DB2 10.5 might speed records analysis by using 25 times or greater, IBM claimed. This improvement might dispose of the need to purchase a separate in-reminiscence database—reminiscent of Oracle's TimesTen—for quickly statistics analysis and transaction processing jobs. "We're not forcing you from a value model perspective to dimension your database so every little thing matches in reminiscence," Vincent pointed out.

On the internet, IBM supplied an instance of how 32-core gadget the usage of BLU technologies may execute a query towards a 10TB statistics set in lower than a 2nd.

"In that 10TB, you're [probably] interacting with 25 p.c of that facts on day-to-day operations. you'd best need to retain 25 % of that information in reminiscence," Vincent mentioned. "you could purchase today a server with a terabyte of RAM and 5TB of strong state storage for under $35,000."

IBM's BLU acceleration know-how speeds DB2 queries towards big facts units.

additionally, using DB2 could cut the labor charges of operating a separate information warehouse, considering the pool of accessible database administrators is generally better than that of facts warehouse experts. In some situations, it might even function a simpler-to-keep option to the Hadoop statistics processing platform, Vincent pointed out. among the many new technologies is a compression algorithm that outlets data in such a way that, in some situations, the statistics does not need to be decompressed before being read. Vincent explained that the statistics is compressed within the order by which it is stored, which ability predicate operations, corresponding to including a the place clause to a question, may also be performed devoid of decompressing the dataset.

over again-saving trick: the application maintains a metadata table that lists the high and low key values for each and every facts web page, or column of information. So when a question is accomplished, the database can examine to see if any of the sought values are on the facts page."If the page is not in memory, we don't have to examine it into memory. if it is in memory, we will not have to convey it through the bus to the CPU and burn CPU cycles examining all of the values on the web page," Vincent stated. "That allows for us to be a great deal more productive on our CPU utilization and bandwidth."With columnar processing, a question can pull in exactly the chosen columns of a database table, instead of the entire rows, which would eat greater memory. "now we have get a hold of an algorithm that is terribly productive in settling on which columns and which degrees of columns you would are looking to cache in reminiscence," Vincent mentioned.

On the hardware aspect, the application comes with parallel vector processing capabilities, a method of issuing a single instruction to numerous processors the use of the SIMD (Single guide distinct statistics) guideline set attainable on Intel and PowerPC chips. The application can then run a single query towards as many columns as the equipment can region on a register. "The register is the premier memory utilization aspect of the device," Vincent spoke of.

competitors rally

IBM is not by myself in investigating new techniques of cramming tremendous databases into the server reminiscence. closing week, Microsoft announced that its SQL Server 2014 would additionally come with a number of strategies, at the same time known as Hekaton, to maximise the use of working memory, in addition to a columnar processing approach borrowed from Excel's PowerPivot technology.

Database analyst Curt Monash, of Monash analysis, has stated that with IBM's DB2 10.5 free up, Oracle now is "now the simplest major relational DBMS seller left without a true columnar story."

IBM itself is the usage of the BLU add-ons of DB2 10.5 as a cornerstone for its DB2 SmartCloud infrastructure as a provider (IaaS), to add computational heft for data reporting and evaluation jobs. it may additionally insert the BLU applied sciences into different IBM statistics save and analysis products, similar to Informix.

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New IBM large records technology for Dramatically faster information analysis and determination-Making Enters the Market

ARMONK, N.Y., June 26, 2013 /PRNewswire by the use of COMTEX/ -- IBM IBM, -0.35% today introduced amazing customer and company accomplice aid for the new edition of its DB2 database software, now commonly attainable. the new application -- which represents the work of a whole lot of IBM builders and researchers in labs around the world -- provides video game-changing expertise referred to as BLU Acceleration that makes it simpler, extra in your price range and dramatically faster to investigate large amounts of data.

As companies face a flood of statistics generated through computer systems, cell gadgets, sensors and social networks, they may be beneath remarkable pressure to investigate tons more information at faster speeds and reduce prices. BLU Acceleration allows for clients to have lots faster entry to key counsel.

among the many organizations global that have experienced amazing results from the new IBM application is the large northern Europe bank Handelsbanken. "We had been very impressed with the performance and ease of BLU. We discovered that some queries accomplished a virtually a hundred instances speedup with actually no tuning. We had been seeing usual acceleration of seven.4 instances, with some queries going from 28 seconds down to sub-second response time," referred to Lennart Henang, IT Architect at Handelsbanken.

Yonyou software Co. in Beijing is a leading enterprise management utility and cloud provider provider. in line with Jianbo Liu, IT efficiency supervisor at Yonyou, "ERP and accounting application applications run loads of reports. We used DB2 BLU Acceleration and noticed our reviews run faster through up to forty instances. This category of expertise is an important healthy for Yonyou's large statistics Analytic features."

"The comments we're hearing from consumers and partners illustrates that we're offering an creative and robust yet standard solution that may ingest big amounts of statistics and practice insights from all this statistics on the point of have an effect on," observed Bob Picciano, familiar supervisor, IBM suggestions management. "IBM's work with beta consumers and inside tests show huge speed and ease. in a single illustration, BLU Acceleration was proven to be 10 times faster than yet another usual in-reminiscence database gadget. Some queries that took 7 minutes have been proven to have dropped to eight milliseconds, due to the innovations in BLU Acceleration."

the new IBM DB2 10.5 with BLU Acceleration goals for analytics on the velocity of concept with a number made-in-IBM-Labs advances to significantly velocity analytic workloads for databases and facts warehouses:

-- Dynamic in-reminiscence technology that hundreds terabytes of facts in Random entry reminiscence, which streamlines query workloads even when records sets exceed the dimension of the memory.

-- "Actionable Compression," which enables analytics to be carried out without delay on compressed records with no need to decompress it - some customers have said as lots as 10 instances storage space mark downs.

-- An imaginative increase in database technology that permits DB2 to manner both row-based mostly and column-primarily based tables concurrently within the equal equipment. This makes it possible for much faster evaluation of immense amounts of facts for sooner choice-making.

-- The simplicity to allow valued clientele access to blazing-fast analytics transparently to their applications, with out the deserve to boost a separate layer of facts modeling or time drinking facts warehouse tuning

-- Integration with IBM Cognos company Intelligence Dynamic Cubes to deliver leap forward pace and ease for reporting and analytics. agencies can analyze key information and freely discover greater assistance sooner from distinctive angles and views to make greater suggested decisions.

-- The potential to take abilities of both multi-core and single instruction numerous statistics (SIMD) aspects in IBM energy and Intel x86 processors

"The total theory behind DB2 with BLU Acceleration is in fact fairly charming," said Andrew Juarez, a lead database administrator at Coca Cola Bottling Co. Consolidated. "I definitely recognize the strategy of giving me all the benefits of a columnar database in harmony with a row-shop inside the equal database. What IBM also has finished it is so special with BLU Acceleration is it makes it possible for us to carry robust efficiency, although the entire statistics set might not healthy into memory. that's critical because in a big statistics world, I may not be capable of healthy all of my information into memory, even with very high compression ratios. DB2 gives me a single solution for a a must have company purpose: carry faster analytics to our clients."

"We moved from Oracle Database to DB2 in April 2008," Juarez delivered. "before moving to DB2, our database was 950 GB and sustained a 35 GB-per-month boom rate. simply by using moving to DB2, the increase price slowed to 15 GB/month. nowadays our database is smaller than it became in 2008. just when i thought issues couldn't get any enhanced, BLU Acceleration came alongside."

Iqbal Goralwalla, head of DB2 Managed capabilities at Triton Consulting of Norwich, UK, pointed out, "i used to be quite anxious after I installed DB2 10.5 with BLU Acceleration on my Linux Intel server, which in reality doesn't have a large volume of RAM, nor does it have the newest processors. The outcomes stunned me. My analytic workload ran 45 instances faster. here's as a result of with BLU Acceleration, now not most effective can the statistics be greater than the amount of accessible RAM, but DB2 is additionally very useful at preserving the information in reminiscence and became performing the information analytics at once on compressed records."

The leap forward pace and simplicity of BLU Acceleration is a complement to the existing transactional performance leadership of DB2 on energy gadget. DB2 takes potential of energy system's business leading multi-threading, cache dimension and reminiscence bandwidth to deliver correct velocity and processing efficiency for each transactional and analytics workloads.

About IBM:

For greater suggestions about IBM's massive statistics platform: http://www-01.ibm.com/software/statistics/bigdata/platform/product.html

For greater assistance about BLU Acceleration: http://www-01.ibm.com/software/facts/db2/linux-unix-home windows/db2-blu-acceleration/

Media Contact: Steve Eisenstadt IBM Media members of the family 1-914-766-8009 saeisens@us.ibm.com

source IBM


Copyright (C) 2013 PR Newswire. All rights reserved

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IBM's DB2 database update does time travel, gets graphic

With the launch of DB2 10.1, Big Blue is adding a slew of new features that make DB2 more useful for modern, big-data workloads.

Depending on how you want to count it, IBM is either the world's number-two or number-three seller of database management systems, and it has a lot of secondary systems and services business that are driven off its DB2 databases.

Notice that we said DB2 databases. IBM has three different DB2s, not just one. There's DB2 for the mainframe, DB2 for its midrange IBM i (formerly OS/400) platform, and DB2 for Linux, Unix, and Windows platforms.

It is the latter one, known sometimes as DB2 LUW, that was revved up to the 10.1 release level on Tuesday. Concurrent with the database upgrade, IBM is also upgrading its InfoSphere Warehouse – a superset of DB2 designed for data warehousing and OLAP serving – to the 10.1 level.

At a very high level, explains Bernie Spang, director of product strategy for database software and systems at IBM, the DB2 10.1 release is focused on two things: the challenge of coping with big data, and automating more of "the drudgery of the mechanics of the data layer" in applications.

The update to DB2 and InfoSphere Warehouse, which both ship on April 30, is the culmination of four years of development by hundreds of engineers working around the globe from IBM's software labs. The new database also has several performance enhancements, a new data-compression method, and increased compatibility with Oracle databases to help encourage Oracle shops to make the jump.

On the big-data front, IBM has juiced the connector that links DB2 to Hadoop MapReduce clusters running the Hadoop Distributed File System (HDFS). Spang says that the prior Hadoop connector was "rudimentary", and so coders went back to the drawing board and created a much better one that allows for data warehouses to more easily suck in data from and spit out data to Hadoop clusters, with less work on the part of database admins.

IBM DB2 10 versus InfoSphere Warehouse 10

IBM's DB2 10 versus InfoSphere Warehouse 10 (click to enlarge)

The new DB2 also supports the storing of graph triples, which are used to do relationship analytics, or what is sometimes called graph analytics.

Rather than looking through a mountain of data for specific subsets of information, as you do in a relational database or a Hadoop cluster, graph analytics walks you through all of the possible combinations of data to see how they are connected. The links between the data are what is important, and these are usually shown graphically using wire diagrams or other methods – hence the name graph analysis.

Graph data is stored in a special format called Resource Definition Framework (RDF), and you query a data store with this data using a query language called SPARQL.

The Apache Jena project is a Java framework for building semantic web applications based on graph data, and Apache Fuseki is the SPARQL server that processes the SPARQL queries and spits out the relationships so they can be visualized in some fashion. (Cray's new Urika system, announced in March, runs this Apache graph analysis stack on top of a massively multithreaded server.)

Just like they imported objects and XML into the DB2 database so they could be indexed and processed natively, IBM is now bringing in the RDF format so that graph triples can be stored natively.

As IBM explains it – not strictly grammatically, to some English majors – a triple has a noun, a verb, and a predicate, such as Tim (noun) has won (verb) the MegaMillions lottery (predicate). You can then query all aspects of a set of triples to see who else has won MegaMillions – a short list, in this case.

In tests among DB2 10.1 early adopters, applications that used these graph triples ran about 3.5 times faster on DB2 than on the Jena TDB data store (short for triple database, presumably) with SPARQL 1.0 hitting it for queries.

DB2 10.1 for Linux, Unix, and Windows platforms also includes temporal logic and analysis functions that allow it to do "time travel queries" – functions that IBM added to the mainframe variant of DB2 last year. By now supporting native temporal data formats inside the database, you can do AS OF queries in the past, present, and future across datasets without having to bolt this onto the side of the database.

"This dramatically reduces the amount of application code to do bi-temporal queries," says Spang, and you can do it with SQL syntax, too. You can turn time travel query on or off for any table inside the DB2 database to do historical or predictive analysis across the data sets. RDF file format and SPARQL querying are available across all editions of DB2 10.1.

Like other database makers, IBM is fixated on data compression techniques not only to reduce the amount of physical storage customers need to put underneath their databases, but also to speed up performance. With DB2 9.1, IBM added table compression, and with the more recent DB2 9.7 from a few years back, temporary space and indexes were compressed.

With DB2 10.1, IBM is adding what it calls "adaptive compression", which means applying data row, index, and temp compression on the fly as best suits the needs of the workload in question.

In early tests, customers saw as much as an 85 to 90 per cent reduction in disk-capacity requirements. Adaptive compression is built into DB2 Advanced Enterprise Server Edition and Enterprise Developer Edition, but is an add-on for an additional fee for Enterprise Server Edition.

Performance boosts, management automation

On the performance front, IBM's database hackers have tweaked the kernel of the database to make better use of the parallelism in the multicore, multithreaded processors that are common today, with specific performance enhancements for hash joins and queries over star schemas, queries with joins and sorts, and queries with aggregation.

Out of the box, IBM says that DB2 10.1 will run up to 35 per cent faster than DB2 9.7 on the same iron. With all of the data compression turned on, many early customers are seeing a factor of three better performance from their databases. Which means – sorry, Systems and Technology Group – many DB2 customers are going to be able to get better performance without having to buy new iron.

On the management front, DB2 now has integrated workload management features that can cap the percentage of total CPU capacity that DB2 is allowed to consume, with hard limits and soft limits across multiple CPUs that are sharing capacity. You can also prioritize important DB2 workloads with different classes of service level agreements.

Database indexes now have new features such as jump scan, which optimizes buffer usage in the underlying system and cuts down on the CPU cycles that DB2 eats, as well as smart prefetching of index and data to boost the performance of the database, much as L1 caches in chips do for their processors.

DB2 now also has a multi-temperature data management feature that knows the difference between flash-based SSDs, SAS RAID, SATA RAID, and tape or disk archive, and can automagically move database tables that are hot, warm, cold, and downright icy to the right device.

Access control is a big deal, and DB2 10.1 now sports fine-grained row and column access controls so each user coming into a system can be locked out of any row or column of data. Now, employees only see the data they need to know, and you don't have to partition an application into different classes of users. You just do it at the user level based on database policies. This feature masks just the data you are not supposed to see.

IBM continues to ramp up its compatibility with Oracle's PL/SQL query language for its eponymous databases, and says that with the 10.1 release, early access users are seeing an average of 98 per cent compatibility for Oracle PL/SQL queries running against DB2. That's not 100 per cent, but it is getting closer.

Finally, as far as big features go, the other new one is called "continuous data ingest", which allows for external data feeds to continuously pump data into the database, or for the database to continuously pump into the data warehouse, without interrupting queries running on either box. This ingesting relies on bringing the data into the database and warehouse in a parallel fashion, with multiple connections, but exactly how it works is not clear to El Reg as we go to press. It seems a bit like magic.

DB2 Express-C is free and has the time travel feature; it is capped at two processor cores and 4GB of main memory. DB2 Express adds the row and column access control, label access control (an existing feature) high availability clustering features (new with this release), and has a memory cap of 8GB and can run across four processor cores; it costs $6,490 per core.

Workgroup Server boosts the cores to 16 and the memory to 64GB, and doesn't have the HA features. Enterprise Server has the multi-temperature data management feature and costs $30,660 per core. The top-end Advanced Enterprise Server has all the bells and whistles, including optimizations and tools to make DB2 play better in a data warehouse. Pricing for the Workgroup Server and Advanced Enterprise Server were not available at press time. ®

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DB2 for i: The Beating Heart of the IBM i Platform

One of the things I like about Steve Will, the new chief IBM i architect, is that he likes data as much as the rest of us do. When he gives a presentation about the IBM i platform and the Power Systems servers that it runs upon, he isn’t afraid to give you arts and charts and actual information to make a point. And so it is in a recent series of presentations that Will has been giving to the AS/400 faithful regarding IBM i roadmaps and other things.

We’ve gone through the roadmaps and the new process for updating the operating system with new features that IBM has instituted to bring some regularity to the process as well as consistency with the way AIX is updated. Today, I wanted to share some information that Will is sharing about DB2 for i, the integrated relation database management system at the heart of the IBM i platform.

As you all know, IBM has three different DB2 database management systems: DB2 for the System z mainframe running z/OS, DB2 for i for the Power Systems server running IBM i, and DB2 for Linux, Unix, and Windows (shortened to DB2 LUW) for systems using X64, Power, Sparc, and Itanium processors. It is a very wide base of servers providing relational database functionality, but the code bases for these three DB2s are very different. But over time, the Rochester Lab where the AS/400 was created and the Toronto Lab where the mainframe and LUW DB2s eventually found a home, have collaborated and shared technologies–much as IBM’s hardware divisions have done–without losing what makes them unique.

The interesting thing that you might not be aware of is that DB2 LUW does not always get the good features first. In fact, sometimes it gets them third. Check out this pretty little chart Wills created:

Will says that the three DB2s get new features as customers require them, not based on any preference for one operating system over another. IBM’s DB2 development has differences over the short term based on the different release dates for the DB2 versions and releases and long term differences based on the capabilities of the underlying operating systems that these DB2s run upon; this includes database configuration, management, and related database utilities that are available for these operating systems. Obviously, IBM controls z/OS and IBM i, so this job is somewhat easier, and it also controls AIX, but Windows, Linux, Solaris, and HP-UX are absolutely beyond IBM’s control, and more importantly with regard to Windows and Solaris, these are two operating where their vendors, Microsoft and Oracle, are fundamentally hostile to Big Blue’s system business.

The important thing is that DB2 for i 7.1 is holding its own in terms of feature enhancements against DB2 for z/OS 10.1 and DB2 LUW 9.7. I personally wish that IBM would update DB2 Multisystem to be a PureScale cluster environment as it announced in September 2009 for AIX and started delivering last year. This clustering is akin to Parallel Sysplex clustering on System z mainframes.

Also on my wish list is a return to the past, of sorts. Back when the AS/400 was launched, the database was the file system and everything, and I mean everything, went into it and was therefore indexable and usable by applications. The AS/400 didn’t have enough oomph to make this practical for big media files, but with the oomph of Power7 machines, IBM could get a real edge by returning to these roots and creating a true object store all kinds of data. IBM had the right idea, it was just about 20 years ahead of its time.

As Will points out, when you get an IBM i machine, you don’t have to install a database–it’s already there, ready for you to pour information into and smack it around using applications. A lot of the tasks that require database administrators are automatically done by the operating system and the DB2 for i database working in concert, under the covers. This includes:

  • Managing disk storage space allocation
  • Monitoring table space allocations and extents
  • Reviewing and balancing indexes
  • Rebinding applications
  • Maintaining database integrity
  • Updating database statistics
  • Synchronizing OS and database security
  • Reloading data following hardware/software upgrades
  • All of the DB2s support a variety of interoperability features for sharing information across their various server platforms. All DB2s running on Linux, Unix, Windows, and IBM i support IBM’s own DRDA protocol as well as the Java JDBC protocol. The DB2 for i database supports its native DDM and CLI protocols, which are not supported on DB2 LUW. The Linux and Windows variants of DB2 support Microsoft’s ODBC protocol, and the Windows version supports .NET and OLE DB protocols. DB2 for i has direct interfaces for RPG, COBOL, C, and C++ as well.

    Perhaps most indicative of how seriously IBM takes DB2 for i, of the 93 features required for conformance to the core SQL standard administered by ISO/ANSI, all of these features–100 percent–are implemented in the database at the heart of IBM i 7.1. DB2 for LUW 9.7 supports only 75 of these core SQL features, and Oracle 11g, Microsoft SQL Server 2008, and DB2 for z/OS 10.1 support even fewer features.

    DB2 for i is a real, serious, and valuable database management system. It’s a pity IBM won’t make it compete on price, too, at the low end and midrange part of the line.


    The Power Systems-IBM i Road Ahead

    I, Cloud-i-us

    IBM i Chief Architect Tells Us Where We’re At

    Q&A With Power Systems Top Brass, Part Two

    Q&A With Power Systems Top Brass, Part One

    IBM Is Prepping Power7+ and Pondering Power8

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    Best Database Certifications for 2019

    Credit: Best-Backgrounds/Shutterstock 1. Top 5 database certifications

    Savvy, talented and knowledgeable database professionals are always in demand. Here are some of the best certifications for DBAs, database developers and anyone else working with databases.

    During the past three decades, we've seen a lot of database platforms come and go, but there's never been any question that database technology can be a crucial component for all kinds of applications and computing tasks.

    Database certifications may not be as sexy or bleeding edge as cloud computing, storage or computer forensics, but the reality is that there has been and will always be a need for knowledgeable database professionals at all levels and in numerous database-related job roles.

    To get a better grasp of the available database certifications, it's useful to group them around job roles. In part, this reflects the maturity of database technology and its integration into most aspects of commercial, scientific and academic computing. As you read about the various database certification programs, keep these job roles in mind:

  • Database administrator (DBA): Responsible for installing, configuring and maintaining a database management system (DBMS). Often tied to a specific platform such as Oracle, MySQL, DB2, SQL Server and others.
  • Database developer: Works with generic and proprietary APIs to build applications that interact with DBMSs (also platform specific, as with DBA roles).
  • Database designer/database architect: Researches data requirements for specific applications or users, and designs database structures and application capabilities to match.
  • Data analyst/data scientist: Responsible for analyzing data from multiple disparate sources to discover previously hidden insight, determine meaning behind the data and make business-specific recommendations.
  • Data mining/business intelligence (BI) specialist: Specializes in dissecting, analyzing, and reporting on important data streams, such as customer data, supply chain data, transaction data and histories, and others.
  • Data warehousing specialist: Specializes in assembling and analyzing data from multiple operational systems (orders, transactions, supply chain information, customer data, etc.) to establish data history, analyze trends, generate reports and forecasts, and support general ad hoc queries.
  • Careful attention to these database job roles highlights two important technical issues for would-be database professionals to consider. First, a good general background in relational database management systems, including an understanding of structured query language (SQL), is a basic prerequisite for all database professionals.

    Second, although various efforts to standardize database technology exist, much of the whiz-bang capability that databases and database applications deliver come from proprietary, vendor-specific technologies. Serious, heavy-duty database skills and knowledge are tied to specific platforms, including various Oracle products (such as the open source MySQL environment and Oracle itself), Microsoft SQL Server, IBM DB2 and more. That's why most of the certifications relate directly to those very same and enormously popular platforms.

    It's important to note that NoSQL databases – referred to as "not only SQL" and sometimes "nonrelational" – handle many different types of data, such as structured, semi-structured, unstructured and polymorphic. NoSQL databases are increasingly used in big data applications, which tend to be associated with certifications for data scientists, data mining/warehousing and business intelligence. Although there is some natural overlap, for the most part, we cover those certs in our annually updated Best Big Data Certifications article.

    Before you look at our featured certifications in detail, consider their popularity with employers. The results of an informal job search conducted on several high-traffic job boards show which database certifications employers look for when hiring employees. Though these results vary from day to day (and job board to job board), such numbers do provide a useful perspective on database certification demand.

    Job Board Search Results (in Alphabetical Order by Certification)*




     LinkedIn Jobs 



    IBM Certified Database Administrator - DB2






    Microsoft SQL Server database certifications**






    Oracle Certified Professional, MySQL Database Administrator






    Oracle Database 12c Administrator












    *See our complete methodology for selecting top five certifications in the "Best Certifications" series.

    **Combined totals for MCSA: SQL Database Administration (540), MCSA: SQL Database Development (569), MCSE: Data Management and Analytics (640) and MTA: Database (503).

    If the sheer number of available database-related positions isn't enough motivation to pursue a certification, consider average salaries for database administrators. SimplyHired reports $86,861 as the national average in the U.S., in a range from $59,696 to over $126,000. Glassdoor's average is somewhat higher – $93,164 – with a top rung right around $123,000.

    Now let's look at the details of our top five database certification picks for 2019.

    2. IBM Certified Database Administrator - DB2

    IBM is considered one of the leaders in the worldwide database market, according to an article on Gartner. The company's database portfolio includes the industry standard DB2 as well as IBM Compose, its Information Management System (IMS), lnformix, Cloudant and IBM Open Platform (Hadoop). IBM also has a long-standing and well-populated IT certification program, which has been around for more than 30 years and encompasses hundreds of individual credentials.

    One of the company's major certification categories is called IBM Analytics, which includes a range of database credentials: Database Associate, Database Administrator, System Administrator, Application Developer and more. It's a big and complex certification space, but one where particular platform allegiances are likely to guide readers straight to the handful of items that are probably relevant to their interests and needs.

    Database professionals who support DB2 (or aspire to) on Linux, Unix or Windows should check out the IBM Certified Database Administrator - DB2. It's an intermediate-level credential that addresses routine administration, basic SQL, and creation of databases and database objects as well as server management, monitoring, availability, and security.

    This certification requires candidates to pass two exams. Training is recommended but not required.

    IBM Certified Database Administrator - DB2 Facts & Figures

    Certification Name

    IBM Certified Database Administrator - DB2 11.1 (Linux, UNIX and Windows)

    Prerequisites & Required Courses

    None requiredRecommended courses available

    Number of Exams

    Two exams:IBM DB2 11.1 DBA for LUW (exam C2090-600) (60 questions, 90 minutes)


    DB2 10.5 Fundamentals for LUW (exam C2090-615) (62 questions, 90 minutes)


    DB2 11.1 Fundamentals for LUW (exam C2090-616) (63 questions, 90 minutes)

    Cost per Exam

    $200 (or local currency equivalent) per exam ($400 total). Sign up for exams at Pearson VUE.



    Self-Study Materials

    Each exam webpage provides exam objectives, suggested training courses and links to study guides for sale through MC Press Publications. Click the Exam Preparation tab for detailed information. Also, visit the Prepare for Your Certification Exam webpage.

    More: IBM Certifications & Career Paths

    3. Microsoft SQL Server Database Certifications

    According to Gartner's piece, Microsoft's SQL Server platform bumped Oracle this year to earn the top place in DBMS market share, and it ranks third in overall database engine popularity as of August 2018.

    SQL Server offers a broad range of tools and add-ons for business intelligence, data warehousing and data-driven applications of all kinds. That probably explains why Microsoft offers database-related credentials at every level of its certification program, from the Microsoft Technology Associate (MTA) all the way to the Microsoft Certified Solutions Expert (MCSE) program.

    In September 2016, Microsoft announced significant changes to its certification program, adding five new certifications to the MCSE and Microsoft Certified Solutions Developer (MCSD) programs alone. These certifications are designed to support Windows Server 2016 and Microsoft SQL Server 2016, among other technologies. For database administrators, the new MCSE: Data Management and Analytics may be of most interest, which you'll learn about later in this section.

    Learn Microsoft SQL and DataBase concepts from scratch on Udemy 


    The MTA program includes a single database-related exam: Database Fundamentals (98-364). This credential is ideal for students or as an entry-level cert for professionals looking to segue into database support.


    Microsoft offers several SQL-related credentials at the Microsoft Certified Solutions Associate (MCSA) level:

  • MCSA: SQL Server 2012/2014 (three exams)
  • MCSA: SQL 2016 BI Development (two exams)
  • MCSA: SQL 2016 Database Administration (two exams)
  • MCSA: SQL 2016 Database Development (two exams)
  • MCSE

    At the Microsoft MCSE level, there is one SQL database credential: Data Management and Analytics. This certification requires an MCSA as a prerequisite (list of valid items follows in table) and then passing one elective exam.

    Microsoft SQL Server Database Certification Facts & Figures

    Certification Name

    MTA DatabaseMCSA: SQL Server 2012/2014MCSA: SQL 2016 BI DevelopmentMCSA: SQL 2016 Database AdministrationMCSA: SQL 2016 Database DevelopmentMCSE: Data Management and Analytics

    Prerequisites & Required Courses  

    No prerequisites for:MTA DatabaseMCSA: SQL Server 2012/2014MCSA: SQL 2016 BI DevelopmentMCSA: SQL 2016 Database AdministrationMCSA: SQL 2016 Database Development

    MCSE Data Management and Analytics prerequisite (only one required):MCSA: SQL Server 2012/2014MCSA: SQL 2016 BI DevelopmentMCSA: SQL 2016 Database AdministrationMCSA: SQL 2016 Database DevelopmentMCSA: Machine LearningMCSA: BI ReportingMCSA: Data Engineering with Azure

    Training courses available and recommended for all certifications but not required.

    Number of Exams

    MTA: One exam, Database Fundamentals (98-364)

    MCSA: SQL Server: Three exams:Querying Microsoft SQL Server 2012/2014 (70-461)Administering Microsoft SQL Server 2012/2014 Databases (70-462)  Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 (70-463)

    MCSA: SQL 2016 BI Development: Two exams:Implementing a SQL Data Warehouse (70-767)Developing SQL Data Models (70-768)

    MCSA: SQL 2016 Database Administration: Two exams:Administering a SQL Database Infrastructure (70-764)Provisioning SQL Databases (70-765)

    MCSA: SQL 2016 Database Development: Two exams:Querying Data with Transact-SQL (70-761)Developing SQL Databases (70-762)

    MCSE: Data Management and Analytics: One exam:Designing and Implementing Cloud Data Platform Solutions (70-473)Designing and Implementing Big Data Analytics Solutions (70-475)Developing Microsoft SQL Server Databases (70-464)Designing Database Solutions for Microsoft SQL Server (70-465)Implementing Data Models and Reports with Microsoft SQL Server (70-466)Designing Business Intelligence Solutions with Microsoft SQL Server (70-467)Developing SQL Databases (70-762)Implementing a Data Warehouse Using SQL (70-767)Developing SQL Data Models (70-768)Analyzing Big Data with Microsoft R (70-773)Perform Cloud Data Science with Azure Machine Learning (70-774)Perform Data Engineering on Microsoft Azure HDInsight (70-775)

    Implementing Microsoft Azure Cosmos DB Solutions (Beta) (70-777)

    All exams administered by Pearson VUE.

    Cost per Exam

    MTA: $127 (or equivalent in local currency outside the USA)MCSA/MCSE: $165 (or equivalent) per exam



    Self-Study Materials

    Microsoft offers one of the world's largest and best-known IT certification programs, so the MTA, MCSA and MCSE certs are well-supported with books, study guides, study groups, practice tests and other materials.

    More: Microsoft Certifications & Career Paths

    4. Oracle Certified Professional, MySQL 5.7 Database Administrator 

    Oracle runs its certifications under the auspices of Oracle University. The Oracle Database Certifications page lists separate tracks for Database Application Development (SQL and PL/SQL), MySQL (Database Administration and Developer) and Oracle Database (versions 12c, 12c R2, and 11g, and Oracle Spatial 11g).

    MySQL is perhaps the leading open-source relational database management system (RDBMS). Since acquiring Sun Microsystems in 2010 (which had previously acquired MySQL AB), Oracle has rolled out a paid version of MySQL and developed certifications to support the product.

    A candidate interested in pursuing an Oracle MySQL certification can choose between MySQL Database Administration or MySQL Developer. The Oracle Certified Professional – MySQL 5.7 Database Administrator (OCP) – credential recognizes professionals who can install, optimize and monitor MySQL Server, configure replication, apply security, and schedule and validate database backups.

    The certification requires candidates to pass a single exam (the same exam can be taken to upgrade a prior certification). Oracle recommends training and on-the-job experience before taking the exam.

    Oracle Certified Professional, MySQL 5.7 Database Administrator Facts & Figures

    More: Oracle Certifications & Career Paths

    5. Oracle Database 12c Administrator

    Most Oracle DBMS credentials require candidates to attend authorized training classes to qualify for the related exam, but MySQL (and Sun-derived) credentials often do not. Oracle certifications also represent a true ladder, in that it is generally necessary to earn the associate-level credentials first, professional-level credentials second and master-level credentials third, culminating at the expert level.

    Oracle Database 12c R2 is the latest Oracle database version, which includes enhancements to Oracle Database 12c. Currently, Oracle 12c certifications are offered at the associate, professional and master levels.

    A Foundations Junior Associate certification (novice level) is also available for Oracle Database 12c, as are three specialist designations – the Implementation Specialist, the Oracle Database Performance and Tuning 2015 Certified Implementation Specialist, and the Oracle Real Application Clusters 12c Certified Implementation Specialist. Expert-level credentials that are available include the Oracle Certified Expert, Oracle Database 12c: RAC and Grid Infrastructure Administrator, Oracle Database 12c Maximum Availability Certified Expert, Oracle Certified Expert, Oracle Database 12c: Data Guard Administrator, the Oracle Certified Expert, and the Oracle Database 12c: Performance Management and Tuning. Oracle offers two 12c R2 certifications: Oracle Database 12c R2 Administration Certified Associate and Professional. Oracle 11g certifications are still offered as well.

    Note: Although premium support for Oracle 11g Database ended on Dec. 31, 2014, extended support is until December 2020, so it's probable Oracle Database 11g will remain in use for the next few years.

    We focus on requirements for Oracle 12c and 12c R2 Database certifications. One important consideration is that Oracle 11g is forward-compatible with Oracle 12c, but Oracle 12c is not backward- compatible with the prior version. Because Oracle 12c is a newer version, IT professionals possessing Oracle 11g certifications should explore upgrades to those credentials.

    Oracle Database 12c and 12c R2 Administrator Facts & Figures

    Certification Name

    Oracle Database 12c Administrator Certified Associate (OCA 12c)Oracle Database 12c Administrator Certified Professional (OCP 12c)Oracle Database 12c Administrator Certified Master Certification (OCM 12c)Oracle Database 12c Maximum Availability Certified MasterOracle Database 12c R2 Administration Certified Associate (OCA 12c R2)Oracle Database 12c R2 Administration Certified Professional (OCP 12c R2) upgrade

    Prerequisites & Required Courses

    OCA 12c: Training recommended but not required

    OCP 12c: OCA 12c credential, one training course required, complete course submission form

    OCM 12c: OCP 12c or 12cR2 credential, two advanced training courses (must be different than the course used to achieve the OCP), complete course submission form, submit Fulfillment Kit Request

    Oracle Database 12c Maximum Availability Certified Master: Three credentials:Oracle Database12c Administrator Certified MasterOracle Certified Expert, Oracle Database 12c: RAC and Grid Infrastructure AdministrationOracle Certified Expert, Oracle Database 12c: Data Guard Administration

    OCA 12c R2: OCA Database SQL, OCA 11g, OCA 12c or 12c SQL Fundamentals

    OCP 12c R2: OCA 12cR2 credential, complete required training course, complete the course submission form.

    Oracle Training: Classes typically run two to five days; costs vary between $1,360 to over $5,580

    Number of Exams

    OCA 12c: Two examsChoose one exam from the following:

    Oracle Database 12c SQL (1Z0-071) (73 questions, 100 minutes)


    Oracle Database 12c: SQL Fundamentals (1Z0-061) (75 questions, 120 minutes)


    Oracle Database 12c: Installation and Administration (1Z0-062) (67 questions, 120 minutes)

    OCP 12c: One exam: Oracle Database 12c: Advanced Administration (1Z0-063) (80 questions, 120 minutes)OCM 12c: One exam: Oracle Database 12c Certified Master (12COCM), a two-day, performance-based exam

    Oracle Database 12c Maximum Availability Certified Master: NoneOCA 12c R2: One exam: Oracle Database 12cR2 Administration (1Z0-072) (70 questions, 90 minutes)OCP 12c R2: One exam: Oracle DBA 12cR2 Advanced Administration (1Z0-073) (70 questions, 100 minutes)

    Cost per Exam

    OCA 12c: 1Z0-061 costs $125; 1Z0-071 and 1Z0-062 cost $245 each

    OCP 12c: 1Z0-063 costs $245

    OCM 12c: 12COCM costs $2,584; contact Oracle for pricing/availability of upgrade exam

    Oracle Database 12c Maximum Availability Certified Master: None

    OCA 12c R2: 1Z0-072 costs $245

    OCP 12c R2: 1Z0-073 costs $245

    Note: Prices vary by geography



    Self-Study Materials

    Each Oracle certification exam webpage lists exam topics as well as recommended training courses, seminars and practice tests. A variety of self-study guides are available on Amazon. Oracle Database certification candidates benefit from student manuals, labs and software provided as part of class offerings.

    More: Oracle Certifications & Career Paths

    6. SAP HANA: SAP Certified Technology Associate - SAP HANA (Edition 2016)

    SAP SE (SAP) has a large portfolio of business application and analytics software, including cloud infrastructure, applications, and storage. The foundation of the SAP HANA platform is an enterprise-grade relational database management system, which can be run as an appliance on premises or in the cloud. The cloud platform enables customers to build and run applications and services based on SAP HANA.

    SAP offers a large certification program, built to support its various platforms and products. We chose to feature the SAP Certified Technology Associate - SAP HANA cert, because it is closely aligned with other certifications in this article and because of employer demand. This certification ensures that database professionals can install, manage, monitor, migrate and troubleshoot SAP HANA systems, which covers managing users and authorization, applying security, and ensuring high availability and disaster recovery techniques.

    SAP recommends that certification candidates get hands-on practice through training or on-the-job experience before attempting this exam. The SAP Learning Hub is a subscription service that gives access to a library of learning materials, including e-learning courses and course handbooks. A free trial is available for first-time users; the annual subscription rate for individual users is about $300.

    Typically, SAP certifications achieved on one of the two most recent SAP solutions are considered current and valid. SAP contacts professionals whose certifications are nearing end of life and provides information on maintaining their credentials.

    SAP HANA Facts & Figures

    Certification Name

    SAP Certified Technology Associate - SAP HANA (Edition 2016)

    Prerequisites  & Required Courses        

     None required Recommended: SAP HANA Installation & Operations SPS12 (HA200) course, $3,750

    Number of Exams

    One exam: SAP Certified Application Associate - SAP HANA (Edition 2016), exam code C_HANATEC_12, (80 questions, 180 minutes)

    Cost per Exam

    $500. Purchase exam voucher through SAP. Exam administered by SAP Education organization centers and Pearson VUE. 



    Self-Study Materials

    The certification webpage includes a link to sample questions. SAP HANA trade books and certification guides are available on Amazon. The SAP Help Center offers product documentation and a training and certification FAQ. The SAP Learning Hub (available on a subscription basis) provides access to online learning content.

    More: SAP Certifications & Career Paths

    7. Beyond the top 5: More database certifications

    Beyond the items mentioned in this article, other database certification programs are available to further the careers and professional development of IT professionals who work with database management systems.

    While most colleges with computer programs offer database tracks at the undergraduate, master's and Ph.D. levels, there are few well-known vendor-neutral database certifications. The Institute for the Certification of Computing Professionals (ICCP) is part of this unique group, offering its Certified Data Professional (CDMP).

    EnterpriseDB administers a small but effective certification program, with two primary certs: the PostgreSQL Associate and the PostgreSQL Professional. PostgreSQL is the No. 4-ranked relational database management system in August 2018 according to DB-Engines.

    Credentials from Google, MarkLogic, Teradata and SAS may also be worth pondering. However, such niches in the database certification arena are generally only worth pursuing if you already work with such platforms or plan to work for an outfit that uses them.

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