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C2090-612 - DB2 10 DBA for z/OS - BrainDump Information

Vendor Name : IBM
Exam Code : C2090-612
Exam Name : DB2 10 DBA for z/OS
Questions and Answers : 134 Q & A
Updated On : March 22, 2019
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C2090-612 exam Dumps Source : DB2 10 DBA for z/OS

Test Code : C2090-612
Test Name : DB2 10 DBA for z/OS
Vendor Name : IBM
Q&A : 134 Real Questions

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IBM DB2 10 DBA for

IBM Db2 question Optimization the usage of AI | killexams.com Real Questions and Pass4sure dumps

In September 2018, IBM announced a brand new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors facts access patterns from executing SQL statements, uses computer discovering algorithms to decide upon most fulfilling patterns and passes this assistance to the Db2 query optimizer for use through subsequent statements.

desktop getting to know on the IBM z Platform

In may additionally of 2018, IBM introduced edition 1.2 of its desktop learning for z/OS (MLz) product. here is a hybrid zServer and cloud software suite that ingests efficiency facts, analyzes and builds fashions that represent the health status of a considerable number of warning signs, screens them over time and offers true-time scoring capabilities.

a few facets of this product providing are aimed at helping a neighborhood of model developers and managers. as an example:

  • It helps distinct programming languages similar to Python, Scala and R. This allows for statistics modelers and scientists to make use of a language with which they're usual;
  • A graphical user interface known as the visual mannequin Builder courses mannequin developers with out requiring highly-technical programming advantage;
  • It includes multiple dashboards for monitoring mannequin consequences and scoring capabilities, in addition to controlling the gadget configuration.
  • This laptop gaining knowledge of suite was at first aimed toward zServer-based analytics functions. one of the crucial first obtrusive decisions turned into zSystem performance monitoring and tuning. equipment management Facility (SMF) statistics which are instantly generated by means of the operating equipment provide the raw statistics for equipment resource consumption similar to central processor utilization, I/O processing, reminiscence paging and so forth. IBM MLz can assemble and store these facts over time, and build and educate fashions of equipment habits, ranking those behaviors, establish patterns now not without problems foreseen by using humans, boost key performance indicators (KPIs) and then feed the mannequin outcomes returned into the gadget to affect gadget configuration adjustments that can enhance efficiency.

    The subsequent step changed into to implement this suite to analyze Db2 efficiency statistics. One answer, called the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the machine learning technology to Db2 operational statistics to benefit an knowing of Db2 subsystem fitness. it will probably dynamically build baselines for key efficiency warning signs, supply a dashboard of those KPIs and provides operational staff precise-time perception into Db2 operations.

    while generic Db2 subsystem efficiency is an important element in standard application health and performance, IBM estimates that the DBA support team of workers spends 25% or more of its time, " ... fighting entry path problems which cause performance degradation and repair influence.". (See Reference 1).

    AI involves Db2

    agree with the plight of contemporary DBAs in a Db2 atmosphere. In state-of-the-art IT world they must guide one or extra massive facts applications, cloud software and database features, software setting up and configuration, Db2 subsystem and application efficiency tuning, database definition and management, disaster recuperation planning, and greater. query tuning has been in existence considering the origins of the database, and DBAs are always tasked with this as smartly.

    The coronary heart of question course evaluation in Db2 is the Optimizer. It accepts SQL statements from purposes, verifies authority to entry the facts, stories the places of the objects to be accessed and develops a list of candidate records access paths. These access paths can consist of indexes, desk scans, a considerable number of desk join strategies and others. within the facts warehouse and big records environments there are continually further selections attainable. One of those is the existence of abstract tables (from time to time known as materialized query tables) that comprise pre-summarized or aggregated records, thus permitting Db2 to stay away from re-aggregation processing. one other option is the starjoin entry route, average in the facts warehouse, the place the order of table joins is modified for efficiency motives.

    The Optimizer then stories the candidate access paths and chooses the access path, "with the bottom cost." charge in this context potential a weighted summation of useful resource utilization including CPU, I/O, reminiscence and different resources. finally, the Optimizer takes the lowest charge access direction, stores it in reminiscence (and, optionally, in the Db2 directory) and starts off entry route execution.

    big records and records warehouse operations now include application suites that enable the company analyst to make use of a graphical interface to construct and manipulate a miniature information model of the data they are looking to analyze. The packages then generate SQL statements in keeping with the users’ requests.

    The problem for the DBA

    with a purpose to do first rate analytics on your distinct facts stores you need a very good knowing of the records requirements, an figuring out of the analytical functions and algorithms purchasable and a high-performance information infrastructure. sadly, the quantity and location of statistics sources is expanding (both in size and in geography), information sizes are starting to be, and purposes continue to proliferate in quantity and complexity. How should still IT managers assist this ambiance, principally with probably the most skilled and mature group of workers nearing retirement?

    be aware additionally that a large a part of cutting back the entire charge of ownership of these systems is to get Db2 functions to run faster and greater effectively. This continually interprets into using fewer CPU cycles, doing fewer I/Os and transporting much less data across the network. since it's often tricky to even establish which functions might advantage from efficiency tuning, one approach is to automate the detection and correction of tuning issues. this is where laptop studying and artificial intelligence can also be used to incredible effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 version 12 on z/OS makes use of the laptop learning amenities outlined above to acquire and keep SQL query textual content and access course particulars, as well as genuine efficiency-related historical guidance such as CPU time used, elapsed instances and effect set sizes. This offering, described as Db2 AI for z/OS, analyzes and outlets the information in machine researching fashions, with the model analysis consequences then being scored and made purchasable to the Db2 Optimizer. The subsequent time a scored SQL observation is encountered, the Optimizer can then use the model scoring facts as enter to its access course option algorithm.

    The outcome may still be a reduction in CPU consumption as the Optimizer makes use of mannequin scoring input to opt for more desirable access paths. This then lowers CPU costs and speeds utility response times. a big potential is that using AI application doesn't require the DBA to have statistics science competencies or deep insights into question tuning methodologies. The Optimizer now chooses the foremost access paths primarily based not simplest on SQL query syntax and information distribution records but on modelled and scored ancient performance.

    This may also be in particular critical in case you store facts in varied areas. as an example, many analytical queries in opposition t massive facts require concurrent entry to certain information warehouse tables. These tables are frequently referred to as dimension tables, and that they include the information points continually used to manage subsetting and aggregation. as an example, in a retail environment consider a desk referred to as StoreLocation that enumerates each save and its area code. Queries in opposition t shop income data may also wish to combination or summarize income by using vicinity; therefore, the StoreLocation desk will be used through some large statistics queries. in this ambiance it is commonplace to take the dimension tables and duplicate them continuously to the massive facts software. in the IBM world this region is the IBM Db2 Analytics Accelerator (IDAA).

    Now think about SQL queries from both operational applications, facts warehouse users and big statistics enterprise analysts. From Db2's point of view, all these queries are equal, and are forwarded to the Optimizer. besides the fact that children, within the case of operational queries and warehouse queries they should without doubt be directed to entry the StoreLocation desk in the warehouse. then again, the question from the business analyst in opposition t huge data tables may still likely access the replica of the desk there. This results in a proliferations of expertise entry paths, and extra work for the Optimizer. fortunately, Db2 AI for z/OS can deliver the Optimizer the assistance it must make wise entry route selections.

    how it Works

    The sequence of hobbies in Db2 AI for z/OS (See Reference 2) is commonly right here:

  • all over a bind, rebind, put together or clarify operation, an SQL remark is handed to the Optimizer;
  • The Optimizer chooses the information access path; as the alternative is made, Db2 AI captures the SQL syntax, entry route choice and query performance facts (CPU used, and so on.) and passes it to a "researching assignment";
  • The gaining knowledge of assignment, which can be performed on a zIIP processor (a non-regular-intention CPU core that does not element into utility licensing expenses), interfaces with the computing device learning application (MLz mannequin features) to save this suggestions in a mannequin;
  • as the volume of information in every model grows, the MLz Scoring provider (which can also be done on a zIIP processor) analyzes the model records and rankings the behavior;
  • throughout the subsequent bind, rebind, put together or clarify, the Optimizer now has entry to the scoring for SQL models, and makes appropriate adjustments to entry path selections.
  • There are additionally a considerable number of user interfaces that supply the administrator visibility to the status of the collected SQL observation efficiency records and mannequin scoring.

    summary

    IBM's laptop gaining knowledge of for zOS (MLz) providing is getting used to incredible effect in Db2 edition 12 to enrich the efficiency of analytical queries as well as operational queries and their associated applications. This requires management attention, as you need to determine that your company is ready to eat these ML and AI conclusions. How will you measure the expenses and advantages of using computer studying? Which IT assist personnel have to be tasked to reviewing the outcomes of mannequin scoring, and maybe approving (or overriding) the consequences? How will you evaluation and justify the assumptions that the utility makes about access path selections?

    In different words, how neatly do you know your facts, its distribution, its integrity and your latest and proposed entry paths? this could examine the place the DBAs spend their time in assisting analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 distinct EngineerFrom "IBM Db2 AI for z/OS: increase IBM Db2 utility efficiency with computer studying"https://www.worldofdb2.com/pursuits/ibm-db2-ai-for-z-os-increase-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See all articles through Lockwood Lyon


    IBM Db2 on Cloud | killexams.com Real Questions and Pass4sure dumps

    We evaluation items independently, however we may earn affiliate commissions from purchasing links on this page. terms of use.

    IBM Db2 on Cloud (which starts off at $189 per 30 days) is a smartly-designed, totally managed SQL Database-as-a-service (DBaaS) answer with Db2 and Oracle PL/SQL compatibility. records migration tactics and the user interface (UI) are clean, intuitive, and simple to operate for clients of lots of skill tiers. The product is superb for developers who need to create a database devoid of the tips of a database administrator (DBA). it's additionally extremely good for enterprise analysts who need to custom build a database right away flat.

    IBM Db2 on Cloud is an exceptional offering that receives a four.0 ranking in this evaluation for its sheer ease of use. besides the fact that children, some developers chafe on the barriers in design manage, chiefly when in comparison with the severe flexibility of Editor's option MongoDB Atlas in featuring a whole bunch controls for builders. IBM Db2 on Cloud additionally falls short of Editors' alternative Microsoft Azure SQL Database, which critically outpaces IBM Db2 on Cloud in the number of areas—a big deal in some situations when it comes to utility performance and compliance with the ecu Union (eu)'s standard data coverage legislation (GDPR). despite the fact, IBM Db2 on Cloud presents extra areas than either Amazon Relational Database service or Google BigQuery.

    Pricing mannequin

    clients are funneled into the free Lite tier as a place to begin. The database then recommends either IBM Db2 on Cloud (SQL) or Cloudant (NoSQL) according to the facts. it be obvious that the IBM Db2 on Cloud designers learned a whole lot from the Bluemix crew as a result of IBM Db2 on Cloud outpaces Rackspace's ObjectRocket (NoSQL) and Amazon Relational Database carrier (Amazon RDS) in ease of use, above all in facts migration. each ObjectRocket and AWS RDS are choicest used with the aid of a DBA, at the least all the way through setup. by contrast, most clients will be capable of spin up a database in IBM Db2 on Cloud with little fuss, unless, of path, the fuss comes from a DBA. Let's face it. DBaaS frequently quantities to legitimized shadow IT and never everybody in it's a fan. or not it's most fulfilling to determine your enterprise's coverage on using a DBaaS and observe the prescribed protocols.

    The decent news is that there's a free Lite plan restricted to a hundred megabytes (MB), five connections, and one schema. that you may create distinctive Lite plans in case you need. No credit card is required even if you utilize one or varied Lite plans. The Lite plan is a cool technique to check out the carrier, learn more about working with databases, or do smaller jobs for free of charge. there may be additionally a free developer group edition with commercial enterprise elements. Db2 categorical-C is free for commercial use but is hobbled just a little by the lack of some advanced commercial enterprise facets.

    The paid Flex plan for IBM Db2 on Cloud begins at $189 monthly for 1 core, 4 gigabytes (GB) of random entry memory (RAM) and a pair of GB of disk storage. extra cores are $fifty two per core per thirty days. Or $13 per GB of RAM, for the reason that every core has 4 GB of RAM. further disk storage is $1 per GB per thirty days. for prime availability, you need to double the base plan, cores, and storage can charge. And the closing line item on the invoice is a charge of $0.20 per 1 million enter/output (I/O) operations performed.

    if in case you have IBM Db2 on-premises, then you get a big bargain using IBM's "convey Your own License" software. Contact your IBM rep for details. you can also get a reduction on an IBM Cloud subscription.

    little by little

    After developing an account on IBM Cloud, go to the Menu icon at the upper left-hand facet of the monitor to move to the dashboard and click on on "Create resource." From there, you work through a series of alternatives for setup. My setup become US South location, Db2 on Cloud, and then Flex Plan. It takes 30 seconds to a minute to create a brand new instance.

    IBM Db2 on Cloud has one of the crucial simplest records-loading processes in our DBaaS options overview roundup. I loaded the data with one click on on the console page, followed by a drag and drop of my CSV look at various statistics. an additional click on is needed in case you opt to use Aspera for a excessive-pace load. next is a choice of two schemas or the option to create your own. A schema is a set of tables to organize the facts. IBM Db2 allows assorted schemas for every database. For this verify, I chose the IBMADT schema alternative. The gadget then offers the option to select or create a desk. subsequent is the outline desk stage. word within the screenshot under that codecs have pull-down menus and handy advice and counsel below the "?" icon by each and every layout class. When these initiatives are accomplished, the information starts importing.

    once the information is uploaded, click the Run SQL tab, and you're off and running. you can either enter SQL statements within the SQL editor or load a SQL script from the toolbar. I had no issues with the setup and become up and running with minimal effort. To scale up, I crucial most effective to come back to the console and click on the dimensions instance button. There i can use a slidebar to scale up or down. The console automatically displays compute and storage scaling details as well as an estimated new charge.

    The Toolbox

    In IBM Db2 on Cloud, you might not find desktop tools to installation or advanced cloud configurations to worry your way via. Make one click on alternatives like "high availability" or "Oracle compatibility mode" and also you're first rate to go. Use the burden wizard in the web console to import a spreadsheet, and IBM Db2 on Cloud will make suggestions for each column that you can set off or regulate. bear in mind here's a relational database so that you can only use structured information such as you'll find in a spreadsheet. however that doesn't suggest the information measurement must be small. in fact, it may also be reasonably massive. if in case you have lots of records emigrate, then you definately have options to velocity the transfer. IBM Aspera both compresses your statistics and makes use of the user datagram protocol (UDP) to optimize your internet line. UDP makes low-latency, loss-tolerating connections and consequently is a whole lot faster than the choice transmission manage protocol (TCP). you will find it as a browser plug-in on the net console. this can render two to 5 times the typical pace of your information superhighway connection. For colossal, complicated databases, use the free IBM lift tool.

    in case you were wondering, IBM joins IBM Db2 on Cloud facts with that of IBM Watson Analytics within the identical manner as any other records supply. IBM has a separate NoSQL cloud-based mostly database known as Cloudant (which I briefly mentioned prior). if you are using IBM Cloud, then you definately even have the alternative of the use of IBM Compose, the place you can opt for amongst 10 open-source databases: Elasticsearch, JanusGraph, MongoDB, MySQL, PostgreSQL (aka Postgres), RabbitMQ, Redis, ScyllaDB (Apache Cassandra), etcd, and RethinkDB.

    bear in mind that you just use IBM Db2 on Cloud by importing spreadsheets by means of an internet console and then run SQL from there. it is the point of DBaaS: no configurations essential. but, actually, any third-celebration tools you might possibly be the usage of now with IBM Db2 on Cloud on-premises (such as FalconSQL, SQuirreLSQL, or Toad for IBM Db2) work with IBM Db2 on Cloud. vigour users have two additional options, IBM facts Server manager and IBM information Studio. IBM records Server manager monitors and analyzes distinct IBM Db2 on Cloud circumstances, on the floor or within the cloud. It also supports open-source databases. IBM information Studio is DBA computer application for advanced users, meaning mainly DBAs.

    Being able to opt for the regional area in your database is essential for 2 causes. First, as a result of laws such as the GDPR, you have to make sure of where your records resides (even in the cloud), the place it strikes to, and the way it's used. Being in a position to opt for the correct area on your database is vital to retaining compliant. Secondly, the closer your information and app are to 1 another, the more suitable the efficiency (the shorter the lag and other issues). you are going to want to look for alternate options to install your app within the equal statistics middle as your database, or colocate your database next to your app.

    IBM Db2 gave me 22 vicinity alternatives, together with Amsterdam, Chennai, Dallas, Frankfurt, Hong Kong, London, Melbourne, Milan, Montreal, Norway, Paris, Querétaro (Mexico), San Jose, Sao Paulo, Seoul, Singapore, Sydney, Tokyo, Toronto, and Washington, D.C.

    youngsters, the free Lite version runs most effective from IBM's Dallas information center, but the seven-day free trial edition works in any of those 22 areas. high availability plans come with a a 99.ninety nine percent uptime carrier-stage settlement (SLA) whereas single-server plans present a smaller ninety nine.95-% uptime SLA. IBM Db2 offers 14 days of each day backups.

    while no equipment is best or proper for each purpose, IBM Db2 on Cloud is frequently strongly liked via those that desire greater comfort and ease of use than is commonly present in database products or capabilities. despite the fact some developers may additionally find IBM Db2 on Cloud design controls limiting, they're going to enchantment to admins for the steadiness and consistency they carry to the database universal.

    IBM Db2 on Cloud

    superb

    bottom line: IBM Db2 on Cloud is a dream Database-as-a-service (DBaaS) answer for developers and business analysts because they can use it without the assistance of a database administrator, even with minimal skills.


    talking to IBM DB2 with Golang | killexams.com Real Questions and Pass4sure dumps

    In my fresh mission, I deserve to seek advice from DB2 database to construct some leisure API functions.

    firstly, we need a DB2 driver for golang program to talk to DB2. There are some previous paintings carried out by individuals. despite the fact it become both now not actively maintained or doesn’t assist on all the principal systems. I determined to use the normal ODBC driver to speak with the DB2.

    Setup ODBC/CLI for DB2

    down load the DB2 ODBC/CLI driver from IBM web page.

    Then without problems untar/unzip it to a directory.

    Configure DB2 ODBC/CLI on windows

    My development and testing environment is on home windows. I setup the db2 driver on windows first.

  • trade directory to the place you unzip the motive force
  • As a administrator, run bin\db2cli installation -setup
  • find out where is the db2cli.ini found via working bin\db2cli validate | findstr "typical App"
  • regular App information course : C:\ProgramData\IBM\DB2\Some_Directory_Namedb2cli.ini path : <regular App facts direction>\cfg\db2cli.ini

    four. Edit the db2cli.ini file the place you identified from final step

    [MyDB]Protocol=TCPIPHostname=192.168.xxx.xxxPort=50000Database=mydbCurrentSchema=myschema

    5. Register the DB into ODBC as a system degree DB

    bin\db2cli registerdsn -add -dsn MyDB -equipment

    At this stage we are able to seek advice from the DB2 with ODBC on home windows.

    Configure DB2 ODBC/CLI on Linux

    My Linux is Redhat.

  • If ODBC equipment isn't deploy. install it. as an instance,rpm -iv unixODBC-2.3.1–eleven.el7.x86_64.rpm
  • Untar the DB2 ODBC/CLI driver file downloaded.
  • update system ODBC drivers by using updating the /etc/odbcinst.ini
  • [DB2]Description=DB2 DriverDriver=#target_dir/clidriver/lib/libdb2o.sofileusage=1dontdlclose=1

    change #targe_dir with the whole course name of where you untar the drivers.

    4. update system /and so on/odbc.ini file

    [MyDB]Protocol=TCPIPHostname=192.168.xxx.xxxPort=50000Database=mydbCurrentSchema=myschemaDriver=#target_dir/clidriver/lib/libdb2o.so

    5. also update the #target_dir/clidriver/clidriver/cfg/db2cli.ini with the equal content as proven above. i am not bound why the ODBC CLI driver looks at the two ini files.

    So we are capable for the ODBC setup for both windows and Linux.

    Use ODBC to connect to DB2

    The connection to DB2 becomes straight ahead. Use the ODBC driver,

    package restServer import ("fmt""os""regexp" _ "github.com/alexbrainman/odbc""github.com/jmoiron/sqlx""github.com/sirupsen/logrus") func DB2Connect() (*sqlx.DB, error) dbName := os.Getenv("MY_DBNAME")uid := os.Getenv("MY_USERNAME")password := os.Getenv("MY_CREDENTIAL") //some decryption code is not noted right here... db, err := sqlx.Open("odbc", fmt.Sprintf("DSN=%s;uid=%s;pwd=%s", dbName, uid, password))if err != nil return nil, err return db, nil

    we are able to then use all of the ordinary golang DB programming stuff. i'm the usage of sqlx to operate question and execution, and squirrel to contruct SQL commentary.

    Notes: We could not run pass compiling. diverse platform needs to be compiled one by one.


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    DB2 10 DBA for z/OS

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    IBM Db2 Query Optimization Using AI | killexams.com real questions and Pass4sure dumps

    In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide on optimal patterns and passes this information to the Db2 query optimizer for use by subsequent statements.

    Machine Learning on the IBM z Platform

    In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health status of various indicators, monitors them over time and provides real-time scoring capabilities.

    Several features of this product offering are aimed at supporting a community of model developers and managers. For example:

  • It supports multiple programming languages such as Python, Scala and R. This allows data modelers and scientists to use a language with which they are familiar;
  • A graphical user interface called the Visual Model Builder guides model developers without requiring highly-technical programming skills;
  • It includes multiple dashboards for monitoring model results and scoring services, as well as controlling the system configuration.
  • This machine learning suite was initially aimed at zServer-based analytics applications. One of the first obvious choices was zSystem performance monitoring and tuning. System Management Facility (SMF) records that are automatically generated by the operating system provide the raw data for system resource consumption such as central processor usage, I/O processing, memory paging and the like. IBM MLz can collect and store these data over time, and build and train models of system behavior, score those behaviors, identify patterns not readily foreseen by humans, develop key performance indicators (KPIs) and then feed the model results back into the system to affect system configuration changes that can improve performance.

    The next step was to implement this suite to analyze Db2 performance data. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the machine learning technology to Db2 operational data to gain an understanding of Db2 subsystem health. It can dynamically build baselines for key performance indicators, provide a dashboard of these KPIs and give operational staff real-time insight into Db2 operations.

    While general Db2 subsystem performance is an important factor in overall application health and performance, IBM estimates that the DBA support staff spends 25% or more of its time, " ... fighting access path problems which cause performance degradation and service impact.". (See Reference 1).

    AI Comes to Db2

    Consider the plight of modern DBAs in a Db2 environment. In today's IT world they must support one or more big data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, disaster recovery planning, and more. Query tuning has been in existence since the origins of the database, and DBAs are usually tasked with this as well.

    The heart of query path analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the data, reviews the locations of the objects to be accessed and develops a list of candidate data access paths. These access paths can include indexes, table scans, various table join methods and others. In the data warehouse and big data environments there are usually additional choices available. One of these is the existence of summary tables (sometimes called materialized query tables) that contain pre-summarized or aggregated data, thus allowing Db2 to avoid re-aggregation processing. Another option is the starjoin access path, common in the data warehouse, where the order of table joins is changed for performance reasons.

    The Optimizer then reviews the candidate access paths and chooses the access path, "with the lowest cost." Cost in this context means a weighted summation of resource usage including CPU, I/O, memory and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in memory (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now include software suites that allow the business analyst to use a graphical interface to build and manipulate a miniature data model of the data they wish to analyze. The packages then generate SQL statements based on the users’ requests.

    The Problem for the DBA

    In order to do good analytics on your multiple data stores you need a good understanding of the data requirements, an understanding of the analytical functions and algorithms available and a high-performance data infrastructure. Regrettably, the number and location of data sources is expanding (both in size and in geography), data sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers support this environment, especially with the most experienced and mature staff nearing retirement?

    Understand also that a large part of reducing the total cost of ownership of these systems is to get Db2 applications to run faster and more efficiently. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting less data across the network. Since it is often difficult to even identify which applications could benefit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and artificial intelligence can be used to great effect.

    Db2 12 for z/OS and Artificial Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to gather and store SQL query text and access path details, as well as actual performance-related historical information such as CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and stores the data in machine learning models, with the model analysis results then being scored and made available to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then use the model scoring data as input to its access path choice algorithm.

    The result should be a reduction in CPU consumption as the Optimizer uses model scoring input to choose better access paths. This then lowers CPU costs and speeds application response times. A significant advantage is that using AI software does not require the DBA to have data science skills or deep insights into query tuning methodologies. The Optimizer now chooses the best access paths based not only on SQL query syntax and data distribution statistics but on modelled and scored historical performance.

    This can be particularly important if you store data in multiple places. For example, many analytical queries against big data require concurrent access to certain data warehouse tables. These tables are commonly called dimension tables, and they contain the data elements usually used to control subsetting and aggregation. For example, in a retail environment consider a table called StoreLocation that enumerates every store and its location code. Queries against store sales data may wish to aggregate or summarize sales by Location; hence, the StoreLocation table will be used by some big data queries. In this environment it is common to take the dimension tables and copy them regularly to the big data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now think about SQL queries from both operational applications, data warehouse users and big data business analysts. From Db2's perspective, all these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely be directed to access the StoreLocation table in the warehouse. On the other hand, the query from the business analyst against big data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more work for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to make smart access path selections.

    How It Works

    The sequence of events in Db2 AI for z/OS (See Reference 2) is generally the following:

  • During a bind, rebind, prepare or explain operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the choice is made, Db2 AI captures the SQL syntax, access path choice and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can be executed on a zIIP processor (a non-general-purpose CPU core that does not factor into software licensing charges), interfaces with the machine learning software (MLz Model Services) to store this information in a model;
  • As the amount of data in each model grows, the MLz Scoring Service (which also can be executed on a zIIP processor) analyzes the model data and scores the behavior;
  • During the next bind, rebind, prepare or explain, the Optimizer now has access to the scoring for SQL models, and makes appropriate changes to access path choices.
  • There are also various user interfaces that give the administrator visibility to the status of the accumulated SQL statement performance data and model scoring.

    Summary

    IBM's machine learning for zOS (MLz) offering is being used to great effect in Db2 version 12 to improve the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your business is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT support staff must be tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and justify the assumptions that the software makes about access path choices?

    In other words, how well do you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs spend their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 Distinguished EngineerFrom "IBM Db2 AI for z/OS: Boost IBM Db2 application performance with machine learning"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See all articles by Lockwood Lyon


    Thinking About Migrating to Version 11 of DB2 for z/OS? | killexams.com real questions and Pass4sure dumps

    Dec 4, 2013

    Craig S. Mullins

    Version 11 of DB2 for z/OS was released for general availability on Oct. 25, 2013. Even if your company won’t be migrating right away, it is wise to start learning about the new functionality it offers. So let’s take a quick look at some of the highlights of this latest and greatest version of DB2.

    Performance Claims in DB2

    As is normal with a new version of DB2, IBM boasts of performance improvements available in DB2 11. The claims range from out-of-the-box savings ranging from 10% to 40% for different types of query workloads. Your actual savings will vary depending upon things like the query itself, number of columns requests, number of partitions, indexing, and the like. The standard operating procedure of rebinding to achieve the best results still applies. And, of course, if you use the new features of DB2 11 IBM claims that you can achieve even better performance.

    DB2 11 also offers improved synergy with the latest mainframe hardware, the zEC12. For example, FLASH Express and pageable 1MB frames are used for buffer pool control blocks and DB2 executable code. So keep in mind that getting to the latest hardware can help out your DB2 performance and operation!

    Programmer Features in DB2

    In terms of new functionality for developers, DB2 11 offers global variables (for passing data from program to program), improved SQLPL functionality, Alias support for sequence objects, improvements to Declared Global Temporary Tables (DGTTs), views on temporal data, XML improvements (including XQuery support), and a SQL Compatibility feature which can be used to minimize the impact of new version changes on existing applications.

    There is also the new APREUSE(WARN) BIND option, which causes DB2 to try to reuse previous access paths for SQL statements, but does not prevent the bind (or rebind) when access paths cannot be reused.

    DBA Features in DB2

    DB2 11 also offers many new in-depth technical and DBA-related features too. Probably the most important, and one that impacts developers too, is transparent archiving using DB2’s temporal capabilities. If you understand the DB2 10 temporal capabilities, setting up transparent archiving is very similar.

    Another notable feature that will interest many DBAs is the ability to use SQL to query more DB2 Directory tables. And the IBM DB2 Utilities are enhanced with better performance and improved capabilities. For example, REORG offers additional automation, RUNSTATS and LOAD offload more work to zIIP processors, REPAIR offers a new DB2 Catalog repair capability, and DSNACCOX delivers improved performance.

    DB2 11 also delivers improved online schema change functionality, including the long-awaited DROP COLUMN capability, which can be used to clean up unused columns in DB2 tables. Additionally, DB2 11 online schema change supports online altering of limit keys, which enables DBAs to change the limit keys for a partitioned table space without impacting data availability. And DB2 11 also removes some earlier administrative restrictions on administering tables with pending changes.

    Other new DBA capabilities include better control over externalizing Real Time Statistics, better coordination between DB2 and RACF, improved capabilities for column MASKs and PERMISSIONs, 2GB frame size for very large buffer pools, and faster CASTOUT and improved RESTART LIGHT capability for Data Sharing environments.

    Analytics and Big Data Features in DB2

    DB2 11 also boasts new features for supporting big data and analytical processing. Probably the biggest is the ability to support Hadoop access. DB2 11 can be used to enable applications to easily and efficiently access Hadoop data sources using the generic table UDF capability to create a variable shape of UDF output table. Doing so allows access to BigInsights, which is IBM’s Hadoop-based platform for big data. As such, you can use JSON to access Hadoop data via DB2 using the UDF supplied by IBM BigInsights.

    DB2 11 also adds new SQL analytical extensions, including GROUPING SETS, ROLLUP, and CUBE. And a new version (V3) of IBM DB2 Analytics Accelerator (IDAA) is part of the mix too. IDAA V3 brings about improvements such as 1.3 PB of data storage, Change Data Capture support to capture changes to DB2 data and propagate them to IDAA as they happen, additional SQL functions for IDAA queries, and Work Load Manager integration.

    Take Some Time to Learn What DB2 11 Can Do

    DB2 11 for z/OS brings with it a bevy of interesting and useful new features. They range the gamut from development to admin­istration to performance to integration with big data. Now that DB2 11 is out in the field and available for organizations to start using it, the time has come for all DB2 users to take some time to learn what DB2 11 can do. 

    Craig S. Mullins, president and principal consultant with Mullins ?Consulting, Inc., has more than 2 decades of experience in all facets of data management and database systems development. You can reach him via his website at www.craigsmullins.com.


    z/OS® Version 8 DBA Certification Guide: DB2 Environment | killexams.com real questions and Pass4sure dumps

    This chapter provides an overview of the DB2 environment, detailing the components that you'll need to understand to begin working with DB2.

    This chapter is from the book 

    DB2 operates as a formal subsystem of z/OS. DB2 utilities run in the batch environment, and applications that access DB2 resources can run in the batch, TSO (Time Sharing Option), USS (UNIX System Services), IMS (Information Management System), or CICS (Customer Information Control System) environment. IBM provides attachment facilities to connect DB2 to each of these environments.

    This chapter looks at the subsystem architecture that supports DB2 and the attachments available. This chapter also looks briefly at the installation process of the DB2 subsystem and the subsystem parameters known as DSNZPARMs, as well as how to execute the utilities and various commands.

    DB2 also has the ability to access other DB2 subsystems and other relational databases. This chapter takes a look at the methods for doing this.

    The IBM zSeries family of enterprises servers use z/OS, the next generation of operating system replacing OS/390. The core of z/OS is the base control program MVS. Open-standard application server functions that support scalable, secure e-business applications are integrated with the MVS base.

    The z/OS platform can provide scalable, secure processing for various types of workloads in a high-performance environment, such as stock trading. The applications can be batch, OLTP (Online Transaction Processing), or DSS (Decision Support Systems). The major strengths of this environment are availability, flexibility, manageability, reliability, scalability, and security.

    The DB2 database management system operates as a formal subsystem of the z/OS operating system. DB2 processes can be executed in various address space regions within z/OS, such as IMS or CICS. Because it is required for DB2 version 8, z/OS provides a new architecture that supports a 64-bit operating system. Thus, the z/OS platform can support many diverse applications with increased availability, scalability, and security.



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