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000-612 | DB2 10 DBA for z/OS

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000-612 - DB2 10 DBA for z/OS - braindump

Vendor IBM
Exam Number 000-612
Exam Name DB2 10 DBA for z/OS
Questions 134 Q & A
Recent Update February 18, 2019
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000-612 exam Dumps Source : DB2 10 DBA for z/OS

Test Code : 000-612
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 query Optimization using AI | killexams.com Real Questions and Pass4sure dumps

In September 2018, IBM announced a brand new product, IBM Db2 AI for z/OS. This synthetic intelligence engine displays information access patterns from executing SQL statements, makes use of laptop learning algorithms to select most beneficial patterns and passes this guidance to the Db2 question optimizer to be used through subsequent statements.

computing device getting to know on the IBM z Platform

In might also of 2018, IBM announced edition 1.2 of its laptop learning for z/OS (MLz) product. this is a hybrid zServer and cloud application suite that ingests efficiency statistics, analyzes and builds models that characterize the health status of numerous symptoms, screens them over time and offers actual-time scoring capabilities.

a number of elements of this product offering are geared toward aiding a group of mannequin developers and bosses. for example:

  • It supports assorted programming languages similar to Python, Scala and R. This enables statistics modelers and scientists to use a language with which they are standard;
  • A graphical consumer interface referred to as the visual model Builder publications model builders devoid of requiring extremely-technical programming competencies;
  • It comprises varied dashboards for monitoring mannequin consequences and scoring services, as well as controlling the system configuration.
  • This machine researching suite changed into originally geared toward zServer-based mostly analytics applications. one of the most first obtrusive decisions changed into zSystem efficiency monitoring and tuning. system management Facility (SMF) statistics that are instantly generated through the operating system provide the uncooked information for device resource consumption corresponding to principal processor utilization, I/O processing, memory paging and the like. IBM MLz can compile and keep these facts over time, and build and teach models of system habits, score those behaviors, determine patterns now not without problems foreseen by using humans, advance key performance indicators (KPIs) and then feed the mannequin consequences lower back into the equipment to have an effect on gadget configuration alterations that can increase efficiency.

    The subsequent step turned into to put in force this suite to research Db2 efficiency data. One solution, referred to as the IBM Db2 IT Operational Analytics (Db2 ITOA) answer template, applies the machine learning expertise to Db2 operational data to profit an understanding of Db2 subsystem fitness. it may well dynamically construct baselines for key performance indications, deliver a dashboard of these KPIs and give operational workforce true-time perception into Db2 operations.

    whereas standard Db2 subsystem performance is a vital aspect in normal application fitness and efficiency, IBM estimates that the DBA assist group of workers spends 25% or extra of its time, " ... fighting entry direction complications which trigger efficiency degradation and service have an impact on.". (See Reference 1).

    AI involves Db2

    consider the plight of modern DBAs in a Db2 environment. In modern day IT world they must aid one or extra big data functions, cloud utility and database capabilities, application setting up and configuration, Db2 subsystem and software performance tuning, database definition and management, disaster recuperation planning, and greater. query tuning has been in existence considering that the origins of the database, and DBAs are usually tasked with this as well.

    The coronary heart of query direction analysis in Db2 is the Optimizer. It accepts SQL statements from purposes, verifies authority to access the facts, studies the places of the objects to be accessed and develops an inventory of candidate facts access paths. These entry paths can consist of indexes, table scans, a variety of table join strategies and others. in the statistics warehouse and massive information environments there are always extra selections purchasable. One of these is the existence of abstract tables (occasionally known as materialized query tables) that contain pre-summarized or aggregated information, for that reason allowing Db2 to steer clear of re-aggregation processing. one other choice is the starjoin entry route, common in the statistics warehouse, where the order of desk joins is modified for efficiency factors.

    The Optimizer then reports the candidate entry paths and chooses the entry path, "with the lowest cost." cost in this context potential a weighted summation of aid usage including CPU, I/O, reminiscence and different elements. eventually, the Optimizer takes the lowest can charge entry path, stores it in memory (and, optionally, within the Db2 directory) and begins entry route execution.

    huge facts and information warehouse operations now consist of software suites that enable the business analyst to use a graphical interface to build and manipulate a miniature facts model of the facts they wish to analyze. The programs then generate SQL statements in accordance with the clients’ requests.

    The problem for the DBA

    with a purpose to do decent analytics on your multiple records shops you need a great knowing of the statistics requirements, an understanding of the analytical capabilities and algorithms available and a excessive-efficiency statistics infrastructure. alas, the number and site of statistics sources is increasing (each in size and in geography), facts sizes are starting to be, and applications proceed to proliferate in number and complexity. How should IT managers assist this ambiance, above all with probably the most skilled and mature personnel nearing retirement?

    keep in mind additionally that a huge part of reducing the whole can charge of ownership of these systems is to get Db2 purposes to run faster and extra effectively. This constantly interprets into the usage of fewer CPU cycles, doing fewer I/Os and transporting much less data throughout the network. in view that it's often tricky to even determine which applications could advantage from performance tuning, one strategy is to automate the detection and correction of tuning issues. this is where laptop getting to know and artificial intelligence may also be used to incredible effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 edition 12 on z/OS uses the desktop studying amenities mentioned above to gather and store SQL query text and entry route details, as well as specific performance-linked ancient tips equivalent to CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and retailers the facts in desktop learning fashions, with the mannequin evaluation results then being scored and made obtainable to the Db2 Optimizer. The subsequent time a scored SQL remark is encountered, the Optimizer can then use the model scoring data as enter to its entry path option algorithm.

    The effect may still be a reduction in CPU consumption as the Optimizer makes use of mannequin scoring enter to select enhanced access paths. This then lowers CPU costs and speeds utility response times. a major potential is that using AI utility does not require the DBA to have records science abilities or deep insights into question tuning methodologies. The Optimizer now chooses the ideal access paths based not best on SQL question syntax and records distribution facts but on modelled and scored old efficiency.

    This may also be above all critical if you save facts in varied places. as an instance, many analytical queries in opposition t big facts require concurrent entry to definite facts warehouse tables. These tables are frequently referred to as dimension tables, and that they comprise the information aspects constantly used to manage subsetting and aggregation. as an example, in a retail atmosphere trust a table referred to as StoreLocation that enumerates every store and its vicinity code. Queries against keep sales statistics may additionally are looking to mixture or summarize income by way of area; therefore, the StoreLocation desk can be used by way of some big information queries. in this environment it is common to take the dimension tables and duplicate them regularly to the massive records software. in the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now feel about SQL queries from each operational functions, facts warehouse clients and massive facts company analysts. From Db2's perspective, all these queries are equal, and are forwarded to the Optimizer. despite the fact, within the case of operational queries and warehouse queries they should still most likely be directed to entry the StoreLocation desk in the warehouse. on the other hand, the query from the company analyst towards large records tables should likely access the copy of the desk there. This effects in a proliferations of knowledge entry paths, and extra work for the Optimizer. thankfully, Db2 AI for z/OS can give the Optimizer the assistance it needs to make wise entry direction selections.

    the way it Works

    The sequence of routine in Db2 AI for z/OS (See Reference 2) is frequently here:

  • all through a bind, rebind, put together or explain operation, an SQL commentary is passed to the Optimizer;
  • The Optimizer chooses the records access route; as the option is made, Db2 AI captures the SQL syntax, access direction option and query efficiency facts (CPU used, and so forth.) and passes it to a "researching project";
  • The learning task, which will also be done on a zIIP processor (a non-well-known-aim CPU core that doesn't ingredient into application licensing expenses), interfaces with the desktop discovering application (MLz model services) to shop this suggestions in a mannequin;
  • because the volume of information in each mannequin grows, the MLz Scoring provider (which also can be achieved on a zIIP processor) analyzes the model data and rankings the conduct;
  • during the subsequent bind, rebind, put together or explain, the Optimizer now has access to the scoring for SQL fashions, and makes applicable alterations to access direction decisions.
  • There are additionally quite a few user interfaces that give the administrator visibility to the fame of the amassed SQL observation performance statistics and mannequin scoring.

    abstract

    IBM's computer getting to know for zOS (MLz) offering is getting used to first rate effect in Db2 edition 12 to enrich the efficiency of analytical queries in addition to operational queries and their linked purposes. This requires management attention, as you have to examine that your company is ready to eat these ML and AI conclusions. How will you measure the costs and advantages of using desktop studying? Which IT guide personnel must be tasked to reviewing the outcome of mannequin scoring, and perhaps approving (or overriding) the effects? How will you evaluation and justify the assumptions that the application makes about access route decisions?

    In other words, how neatly did you know your statistics, its distribution, its integrity and your present and proposed access paths? this will investigate the place the DBAs spend their time in helping analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 unusual EngineerFrom "IBM Db2 AI for z/OS: enhance IBM Db2 utility efficiency with computer learning"https://www.worldofdb2.com/movements/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

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

    See all articles by Lockwood Lyon


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    IBM Db2 on Cloud (which starts at $189 per 30 days) is a smartly-designed, thoroughly managed SQL Database-as-a-service (DBaaS) solution with Db2 and Oracle PL/SQL compatibility. information migration techniques and the person interface (UI) are clear, intuitive, and simple to function for clients of lots of ability levels. The product is ultimate for developers who wish to create a database with out the suggestions of a database administrator (DBA). it be additionally remarkable for company analysts who need to custom construct a database very quickly flat.

    IBM Db2 on Cloud is an exceptional providing that gets a 4.0 rating in this assessment for its sheer ease of use. however, some builders chafe at the obstacles in design control, specifically when in comparison with the intense flexibility of Editor's option MongoDB Atlas in presenting a whole lot controls for builders. IBM Db2 on Cloud also falls in need of Editors' option Microsoft Azure SQL Database, which significantly outpaces IBM Db2 on Cloud in the variety of areas—a large deal in some cases when it comes to software performance and compliance with the eu Union (eu)'s conventional statistics protection rules (GDPR). besides the fact that children, IBM Db2 on Cloud offers greater regions 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 both IBM Db2 on Cloud (SQL) or Cloudant (NoSQL) according to the data. or not it's obvious that the IBM Db2 on Cloud designers realized a whole lot from the Bluemix team because IBM Db2 on Cloud outpaces Rackspace's ObjectRocket (NoSQL) and Amazon Relational Database service (Amazon RDS) in ease of use, notably in statistics migration. each ObjectRocket and AWS RDS are ideal used with the assist of a DBA, as a minimum right through setup. in contrast, most clients may be capable of spin up a database in IBM Db2 on Cloud with little fuss, until, of path, the fuss comes from a DBA. Let's face it. DBaaS regularly quantities to legitimized shadow IT and never each person in it's a fan. it be most useful to examine your enterprise's policy on the use of a DBaaS and observe the prescribed protocols.

    The decent information is that there is a free Lite plan restricted to 100 megabytes (MB), five connections, and one schema. that you can create distinct Lite plans in case you desire. No credit card is required even if you utilize one or varied Lite plans. The Lite plan is a fab approach to check out the carrier, study greater about working with databases, or do smaller jobs for free of charge. there may be also a free developer group edition with business points. Db2 specific-C is free for commercial use but is hobbled somewhat by way of the lack of some advanced enterprise features.

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

    you probably have IBM Db2 on-premises, then you get a huge cut price the use of IBM's "carry Your own License" software. Contact your IBM rep for particulars. you can also get a discount on an IBM Cloud subscription.

    little by little

    After establishing an account on IBM Cloud, go to the Menu icon at the upper left-hand facet of the reveal to movement to the dashboard and click on on "Create resource." From there, you're employed via a collection of alternatives for setup. My setup turned into US South place, Db2 on Cloud, and then Flex Plan. It takes 30 seconds to a minute to create a new illustration.

    IBM Db2 on Cloud has one of the crucial easiest facts-loading strategies in our DBaaS solutions overview roundup. I loaded the information with one click on on the console page, followed by way of a drag and drop of my CSV look at various facts. an additional click is needed if you opt to make use of Aspera for a excessive-speed load. subsequent is a call of two schemas or the alternative to create your personal. A schema is a set of tables to organize the statistics. IBM Db2 allows for diverse schemas for each database. For this verify, I chose the IBMADT schema alternative. The equipment then presents the choice to opt for or create a table. next is the define desk stage. observe in the screenshot beneath that formats have pull-down menus and convenient tips and counsel under the "?" icon by using each and every format classification. When these tasks are accomplished, the data starts uploading.

    as soon as the data is uploaded, click on the Run SQL tab, and you're off and running. you can both enter SQL statements in the SQL editor or load a SQL script from the toolbar. I had no problems with the setup and became up and working with minimal effort. To scale up, I needed most effective to come back to the console and click on on the dimensions illustration button. There i will be able to use a slidebar to scale up or down. The console automatically displays compute and storage scaling details in addition to an estimated new charge.

    The Toolbox

    In IBM Db2 on Cloud, you may not find desktop equipment to set up or complex cloud configurations to be concerned your method via. Make one click on on options like "excessive availability" or "Oracle compatibility mode" and you're good to move. Use the burden wizard within the internet console to import a spreadsheet, and IBM Db2 on Cloud will make assistance for every column that you could spark off or modify. bear in mind this is a relational database so that you can only use structured information such as you'll discover in a spreadsheet. however that doesn't suggest the information dimension needs to be small. truly, it can also be fairly massive. you probably have lots of records to migrate, you then have alternate options to speed the switch. IBM Aspera both compresses your data and makes use of the consumer datagram protocol (UDP) to optimize your internet line. UDP makes low-latency, loss-tolerating connections and therefore is a good deal quicker than the option transmission control protocol (TCP). you are going to find it as a browser plug-in on the web console. this may render two to five times the ordinary pace of your information superhighway connection. For huge, complicated databases, use the free IBM raise device.

    in case you had been questioning, IBM joins IBM Db2 on Cloud information with that of IBM Watson Analytics in the same way as any other information source. IBM has a separate NoSQL cloud-based database known as Cloudant (which I in short outlined past). if you're the usage of IBM Cloud, you then even have the option of the usage of IBM Compose, where you could select amongst 10 open-source databases: Elasticsearch, JanusGraph, MongoDB, MySQL, PostgreSQL (aka Postgres), RabbitMQ, Redis, ScyllaDB (Apache Cassandra), etcd, and RethinkDB.

    take into account that you simply use IBM Db2 on Cloud by way of importing spreadsheets by the use of a web console and then run SQL from there. it really is the point of DBaaS: no configurations mandatory. but, in fact, any third-birthday celebration equipment you could be the use of now with IBM Db2 on Cloud on-premises (equivalent to FalconSQL, SQuirreLSQL, or Toad for IBM Db2) work with IBM Db2 on Cloud. vigor users have two added options, IBM statistics Server supervisor and IBM information Studio. IBM records Server supervisor monitors and analyzes distinct IBM Db2 on Cloud cases, on the floor or within the cloud. It additionally supports open-supply databases. IBM facts Studio is DBA laptop application for superior clients, meaning more often than not DBAs.

    Being in a position to choose the regional place in your database is essential for two reasons. First, because of laws such because the GDPR, you ought to be sure of where your data resides (even in the cloud), the place it moves to, and the way it's used. Being in a position to opt for the correct area to your database is vital to protecting compliant. Secondly, the nearer your statistics and app are to at least one one other, the stronger the efficiency (the shorter the lag and different issues). you'll are looking to look for options to install your app within the same statistics center as your database, or colocate your database subsequent to your app.

    IBM Db2 gave me 22 region 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.

    besides the fact that children, the free Lite edition runs most effective from IBM's Dallas data core, however the seven-day free trial edition works in any of those 22 areas. excessive availability plans include a a 99.99 percent uptime service-degree settlement (SLA) whereas single-server plans offer a smaller 99.ninety five-p.c uptime SLA. IBM Db2 provides 14 days of every day backups.

    while no device is excellent or proper for every intention, IBM Db2 on Cloud is usually strongly liked via those that need extra comfort and ease of use than is commonly found in database products or services. however some developers can also find IBM Db2 on Cloud design controls limiting, they are going to attraction to admins for the balance and consistency they deliver to the database normal.

    IBM Db2 on Cloud

    surprising

    bottom line: IBM Db2 on Cloud is a dream Database-as-a-carrier (DBaaS) solution for builders and business analysts as a result of they could use it without the advice of a database administrator, even with minimal knowledge.


    IBM iSeries (AS/400) DB2 UDB: proper 10 skilled questions | killexams.com Real Questions and Pass4sure dumps

    This tip in the beginning appeared on Search400.com

    Kent Milligan, IBM iSeries/i5 DB2 UDB expert, has been answering Search400.com's member questions for more than 5 years. iSeries users have requested Kent the identical questions many times. with the intention to prevent time, we've got compiled the appropriate 10 questions asked about IBM iSeries/i5 DB2 for you. Do you have a query that's no longer listed right here? Ask Kent your IBM DB2 questions.

      table OF CONTENTS  1. counseled index no longer used  2. establishing a default library in IBM DB2  three. CHAR fields vs. VARCHAR  four. The precise difference between IBM DB2 databases  5. trade the length of an current field  6. having access to an explicit file member using SQL  7. Date formats & creating a desk with SQL  eight. what is the change between DB2/400 and IBM DB2 UDB for the iSeries?  9. entry facts in SQL Server from the iSeries  10. How am i able to inform which indexes are getting used via IBM DB2 and the query optimizer to increase performance?

     

    1. counseled index not used

    query: Operation Navigator recommends the usage of an index for SQL performance monitoring. I created the recommended index, nonetheless it feels like the device would not use it. I locate it peculiar that the index is suggested and then not used. is that this normal?

    Milligan: besides the fact that the question optimizer advises growing an index, it doesn't always decide to use it when creating its entry plan. There are some explanations for this:

    The question optimizer does not all the time recommend the ideal index. The reason behind here's that currently, best local alternative is used when picking out what index to recommend -- it does not yet agree with join, order by using, or community by way of columns. due to this fact, after you create that recommended index, it may well now not choose to use it, as it remains now not the excellent index. You may need to manually intervene -- investigate the query and consider the be a part of, community by, and order by using columns to investigate what the excellent index is and create that index.

    however, it could be recommending that index in order that it may possibly extract stats from the index to further consider the optimum access components. for example, once the index has been created, it can be the usage of statistics from the index to check that question will return many rows, for this reason a desk scan is the inexpensive access method.

    To better keep in mind the theory of a perfect index and the way indexes assist the question optimizer with data, that you could examine the white paper Indexing and facts strategies for DB2 for i5/OS.

     

    2. setting up a default library in IBM DB2

    question: How can i install a default library in IBM DB2 in order to no longer trade our SQL statements? truly, we are migrating from IBM B2 UDB home windows Server to the iSeries. in reality, in home windows ambiance, our SQL statements run neatly and with the SET existing SCHEMAS = "EMPORIUM", we define default schemas in order that we would not have to explicitly specify it in each of our SQL statements. How can i do this in an iSeries atmosphere? I deserve to define a library reminiscent of opt for ... FROM MCMLIB.COMMANDES where. can you support me?

    Milligan: It depends on the software programming interface that you're the use of. IBM DB2 UDB for iSeries brought support for the SET current SCHEMA statement in V5R2. The iSeries entry ODBC and JDBC drivers help connection keywords and homes to permit specifying a default library. here's an instance of the ODBC connection key phrase:

    DefaultLibraries=Schema1,Schema2

     

    three. CHAR fields vs. VARCHAR

    question: What are the most efficient practice guidelines with reference to using CHAR fields vs. VARCHAR fields on a IBM DB2 database for the iSeries?

    i'm constructing a new database for a .web software and i become due to the fact that VARCHAR for some longer fields to keep storage. I had hoped that the VARCHAR box would also remove the trailing blanks from the string type fields. youngsters, in my preliminary assessments, it doesn't appear that VARCHAR has any have an effect on on these trailing blanks. Is there any environment on the iSeries that will also be changed to instantly trim them?

     Milligan: In prevalent on IBM DB2 UDB for iSeries, VARCHAR facts forms should still be used for columns containing lengthy descriptions or memos that aren't referenced very commonly. 50 bytes is likely the smallest size you can are looking to use for a VARCHAR column. DB2 does should allocate some further bytes for every row with variable size columns to hold music of the various size records, so one of the house discount rates may be consumed by means of these "further tracking" bytes. because of this overhead, the area discounts would only be noticeable on tables with a huge variety of rows.

     

    four. The true change between IBM DB2 databases

    query: one in all our customers is beginning a task with moveable functions answer atmosphere (PASE) under V5R3. The programmers tried to work from that with C-program's to change assistance with the native database and have some predominant problems with things corresponding to host variables and others. advice that may help to solve these issues is hardly accessible -- certainly in Germany. The German IBM software provider looks to be a bunch of "we're iSeries; do not know tons about the rest of the IT world." are you able to aid with suggestions about the true difference between the UDB databases in the UNIX/windows and iSeries types?

    Milligan: click right here to be trained the precise  modifications between the UDB databases within the UNIX/home windows and iSeries types.

     

    5. change the size of an latest field

    question: am i able to exchange the length of a box in a actual file devoid of recompiling it?

    Milligan: The surest approach to alternate the length of an existing field is the CHGPF CL command.

     

    6. accessing an specific file member the usage of SQL

    question: can you entry an specific file member the use of interactive SQL? I wish to entry a multi-member *PF.

    Milligan: yes, the easiest method is to create an alias for each secondary member that you simply wish to entry, and then use the ALIAS identify for your SQL request. creating an alias is only a one-time setup operation.

    right here's an illustration:CREATE ALIAS mylib/a1 FOR mylib/myfile(mbr1)

    choose * FROM mylib/a1 the place f1>0

     

    7. Date codecs & creating a desk with SQL

    query: i am making an attempt to create a table the use of SQL. i would like the dates to be of the *us of a (mm/dd/yyyy) format. All of our information were created with DDS and all of our dates are DATFMT *u . s .. i would like to create some new info with SQL, however I cannot get the dates within the structure that we use. How am i able to try this?

    Milligan: The DATFMT cannot be precise on SQL Create table. All date values, youngsters, are saved by using DB2 in the same inside layout even with the DATFMT that's specific on the column or box definition. When that facts is study from the SQL desk it might be transformed to the output date layout distinct through the software -- in your case the *united states format.

     

    8. what is the difference between DB2/400 and IBM DB2 UDB for the iSeries?

    query: what is the change between DB2/four hundred and IBM DB2 UDB for the iSeries?

    Milligan: DB2/400 and DB2 UDB for iSeries are practically the same factor. iSeries (AS/four hundred) become able to undertake the IBM DB2 UDB branding when it delivered lots of new database functionality in V4R4 of OS/400, so the database become renamed from DB2/four hundred to DB2 UDB for iSeries in that free up.

    that you can find greater suggestions on IBM iSeries and the DB2 UDB family unit here.

     

    9. entry information in SQL Server from the iSeries

    question: can you tell me what I deserve to access information in a MS SQL database from the iSeries?

     Milligan: The white paper you are trying to find is Heterogeneous information entry for iSeries functions.

    To access a non-DB2 statistics source (including Microsoft SQL Server) from an iSeries program written in any high-level programming language, use WebSphere suggestions Integrator (formerly DB2 suggestions Integrator - DB2 II). This product requires that the statistics access to be performed with an SQL-primarily based interface reminiscent of CLI, embedded SQL or JDBC.

     

    10. How can i inform which indexes are being used with the aid of IBM DB2 and the query optimizer to enrich efficiency?

     question: How am i able to inform which indexes are being used via IBM DB2 and the query optimizer to increase performance?

     reply: In V5R3, a brand new device turned into brought to iSeries Navigator referred to as Index Evaluator. This new feature makes it effortless to analyze which indexes (and keyed logical information) are helping your SQL and question efficiency and which indexes are not pulling their weight. You can't depend on the object timestamp "final used date" because that price is not all the time up-to-date by means of the question optimizer.

    For each index defined over the desk, the evaluator returns statistics in regards to the remaining time an index become used within the implementation of a question and/or used to give data in regards to the desk statistics to the query optimizer. furthermore, it returns a count number for the number of instances the query optimizer used an index object.

    under, you see the output of the Index Evaluator, which is initiated through right-clicking on a desk object in iSeries Navigator and determining the exhibit Indexes assignment -- the task name is Indexes on V5R3).


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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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