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000-612 DB2 10 DBA for z/OS

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000-612 exam Dumps Source : DB2 10 DBA for z/OS

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IBM IBM DB2 10 DBA

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IBM Db2 on Cloud (which begins at $189 per 30 days) is a neatly-designed, totally managed SQL Database-as-a-provider (DBaaS) admit with Db2 and Oracle PL/SQL compatibility. records migration strategies and the consumer interface (UI) are clean, intuitive, and easy to operate for clients of a number of skill tiers. The product is impeccable for developers who wish to create a database with out the assistance of a database administrator (DBA). it live additionally excellent for enterprise analysts who need to custom build a database in no time flat.

IBM Db2 on Cloud is a grotesque offering that gets a 4.0 rating during this review for its sheer ease of use. youngsters, some builders gall on the barriers in design handle, principally when in comparison with the vehement flexibility of Editor's alternative MongoDB Atlas in proposing hundreds controls for builders. IBM Db2 on Cloud furthermore falls wanting Editors' choice Microsoft Azure SQL Database, which seriously outpaces IBM Db2 on Cloud within the number of regions—a powerful deal in some cases when it involves application efficiency and compliance with the ecu Union (ecu)'s conventional facts insurance policy law (GDPR). despite the fact, IBM Db2 on Cloud presents greater regions than both Amazon Relational Database service or Google BigQuery.

Pricing mannequin

users are funneled into the free Lite tier as a spot to begin. The database then recommends either IBM Db2 on Cloud (SQL) or Cloudant (NoSQL) in accordance with the statistics. or not it's evident that the IBM Db2 on Cloud designers learned a whole lot from the Bluemix group because IBM Db2 on Cloud outpaces Rackspace's ObjectRocket (NoSQL) and Amazon Relational Database carrier (Amazon RDS) in ease of use, peculiarly in statistics migration. each ObjectRocket and AWS RDS are most efficient used with the aid of a DBA, as a minimum throughout setup. against this, most clients may live capable of spin up a database in IBM Db2 on Cloud with itsy-bitsy fuss, except, of route, the fuss comes from a DBA. Let's face it. DBaaS frequently quantities to legitimized shadow IT and not everyone in it is a fan. it live foremost to investigate your enterprise's coverage on the spend of a DBaaS and keep the prescribed protocols.

The decent intelligence is that there is a free Lite device confined to one hundred megabytes (MB), 5 connections, and one schema. which you can create numerous Lite plans if you need. No credit card is required even if you employ one or dissimilar Lite plans. The Lite device is a groovy solution to entangle a peek at the provider, live trained more about working with databases, or attain smaller jobs for free of charge. there may live furthermore a free developer group version with commercial enterprise points. Db2 categorical-C is free for commercial spend but is hobbled a bit of by way of the inability of some superior industry elements.

The paid Flex device for IBM Db2 on Cloud starts at $189 monthly for 1 core, four gigabytes (GB) of random access reminiscence (RAM) and 2 GB of disk storage. additional cores are $fifty two per core per 30 days. Or $13 per GB of RAM, due to the fact every core has four GB of RAM. additional disk storage is $1 per GB monthly. for top availability, you deserve to double the bottom plan, cores, and storage cost. And the closing line merchandise on the invoice is a imbue of $0.20 per 1 million enter/output (I/O) operations performed.

if you fill IBM Db2 on-premises, then you definitely procure a powerful prick cost using IBM's "carry Your personal License" application. Contact your IBM rep for details. that you can furthermore procure a reduction on an IBM Cloud subscription.

little by little

After developing an account on IBM Cloud, fade to the Menu icon at the upper left-hand facet of the monitor to hotfoot to the dashboard and click on "Create resource." From there, you work via a series of alternate options for setup. My setup changed into US South location, Db2 on Cloud, and then Flex Plan. It takes 30 seconds to a minute to create a brand novel illustration.

IBM Db2 on Cloud has one of the crucial simplest records-loading approaches in their DBaaS solutions assessment roundup. I loaded the records with one click on the console page, adopted with the aid of a drag and drop of my CSV examine facts. a further click is needed in case you opt to achieve spend of Aspera for a excessive-speed load. subsequent is a determination of two schemas or the choice to create your personal. A schema is a collection of tables to organize the facts. IBM Db2 permits dissimilar schemas for every database. For this examine, I chose the IBMADT schema alternative. The gadget then offers the alternative to select or create a desk. subsequent is the profile table stage. notice in the screenshot below that formats fill pull-down menus and effortless guidance and tips beneath the "?" icon by every structure classification. When these projects are achieved, the statistics starts importing.

once the facts is uploaded, click the race SQL tab, and you're off and working. that 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 changed into up and operating with minimal effort. To scale up, I mandatory best to arrive to the console and click on on the scale instance button. There i will spend a slidebar to scale up or down. The console immediately shows compute and storage scaling particulars as well as an estimated novel charge.

The Toolbox

In IBM Db2 on Cloud, you might not discover laptop tools to set up or advanced cloud configurations to agonize your approach through. achieve one click on alternatives like "high availability" or "Oracle compatibility mode" and furthermore you're decent to head. spend the load wizard in the internet console to import a spreadsheet, and IBM Db2 on Cloud will achieve information for each column you could spark off or alter. recollect this is a relational database so that you can best spend structured statistics like you'll find in a spreadsheet. however that doesn't suggest the facts size needs to live small. in reality, it can furthermore live by far massive. when you fill lots of statistics to migrate, you then fill options to velocity the switch. IBM Aspera each compresses your statistics and makes spend of the consumer datagram protocol (UDP) to optimize your internet line. UDP makes low-latency, loss-tolerating connections and for this intuition is a helpful deal quicker than the option transmission manage protocol (TCP). you are going to find it as a browser plug-in on the net console. this may render two to 5 instances the normal speed of your web connection. For significant, advanced databases, spend the free IBM rear device.

if you had been questioning, IBM joins IBM Db2 on Cloud data with that of IBM Watson Analytics in the equal manner as some other facts source. IBM has a separate NoSQL cloud-based database called Cloudant (which I in brief outlined previous). when you are the spend of IBM Cloud, then you definately furthermore fill the option of the usage of IBM Compose, where which you can select among 10 open-supply databases: Elasticsearch, JanusGraph, MongoDB, MySQL, PostgreSQL (aka Postgres), RabbitMQ, Redis, ScyllaDB (Apache Cassandra), etcd, and RethinkDB.

bear in intellect that you spend IBM Db2 on Cloud by way of importing spreadsheets by the spend of a web console and then race SQL from there. it's the factor of DBaaS: no configurations mandatory. however, truly, any third-party apparatus you should live would becould very well live 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. power users fill two added alternatives, IBM statistics Server manager and IBM facts Studio. IBM records Server supervisor displays and analyzes numerous IBM Db2 on Cloud situations, on the floor or within the cloud. It furthermore supports open-source databases. IBM records Studio is DBA computer application for superior clients, which means in the main DBAs.

Being able to select the regional spot in your database is censorious for 2 factors. First, as a result of rules such as the GDPR, you need to live sure of the spot your statistics resides (even within the cloud), the spot it strikes to, and the way it is used. Being able to select the confiscate zone to your database is vital to retaining compliant. Secondly, the closer your information and app are to at least one another, the more advantageous the efficiency (the shorter the lag and other considerations). you will want to peek for alternatives to set up your app in the equal information hub as your database, or colocate your database subsequent to your app.

IBM Db2 gave me 22 vicinity options, 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.

however, the free Lite edition runs best from IBM's Dallas statistics core, however the seven-day free trial version works in any of those 22 locations. excessive availability plans comprehend a a 99.99 % uptime service-stage condense (SLA) whereas single-server plans tender a smaller ninety nine.ninety five-% uptime SLA. IBM Db2 provides 14 days of daily backups.

while no gadget is ultimate or pattern for each purpose, IBM Db2 on Cloud is usually strongly liked by using people that need more console and ease of spend than is commonly organize in database items or services. despite the fact some builders can furthermore discover IBM Db2 on Cloud design controls limiting, they are going to enchantment to admins for the stability and consistency they convey to the database average.

IBM Db2 on Cloud

miraculous

bottom line: IBM Db2 on Cloud is a dream Database-as-a-carrier (DBaaS) admit for developers and company analysts as a result of they could spend it without the counsel of a database administrator, even with minimal competencies.


the way to Migrate On-Premise Databases to IBM DB2 On Cloud | killexams.com existent Questions and Pass4sure dumps

Compliant Database DevOps: bring software sooner whereas conserving your statistics protected. This novel whitepaper guides you via four key techniques Database DevOps helps your data insurance device strategy. read free now

Introduction

Database migration can peek essential from outside, specifically, procure the source statistics and import/load to the target database, however the devil is at entire times within the particulars, and the route isn't that standard. A database consists of greater than simply the records. A database can consist of various — however often related — objects. With DB2, two forms of objects can exist: apparatus objects and records objects. let's examine what they're, and in a while within the article, one of the vital foremost objects are discussed from caution perspectives prerogative through planning and migrating.

lots of the valuable database engines tender the equal set of major database object kinds: (please read additionally on these object types from respective carriers. The definition and role could live extra or less an identical. An analogy is that you force cars, and if you hotfoot from one motor vehicle to yet another, the fundamentals of cars remain the identical, however modifications encompass ignition buttons, windows, constitution as an entire, and so forth., however the functional spend and foundation of the car continues to live the equal, like 4 wheels, engines, chassis, and so forth.)

  • Tables
  • Indexes
  • Sequences
  • Views
  • Synonyms
  • Indexes
  • Alias
  • Triggers
  • user-defined records kinds (UDTs),
  • user-defined features (UDFs)
  • stored strategies
  • packages
  • device Objects encompass:

  • Storage corporations
  • Tablespaces
  • Buffer swimming pools
  • equipment Catalog tables and views
  • Transaction log files
  • These objects at on-premise databases should accept suitable custody while planning migrations. It is awfully censorious to live mindful what may furthermore live migrated and what can not considering there should live would becould very well live a need for professional services from a 3rd birthday celebration or from a cloud dealer in doing so.

    What Can and can't live Migrated?

    ordinary SQL person-described capabilities (UDFs) can furthermore live migrated but external UDFs may fill some hardship being migrated. exterior UDFs can live written in C, C++, or Java and then compiled in some situations to figure a library and sit at a designated region and would deserve to live registered with DB2. So, external UDFs should live rebuilt on cloud servers because OS types can live distinctive at the target. Migrating such UDFs could need database migration capabilities from cloud vendors or they cannot live migrated to cloud. in a similar fashion, SQL saved processes can live migrated to the goal Database, but exterior redeem strategies will elevate the identical constraints than that of UDF and will not live supported. Materialized question table(MQTs) may furthermore live migrated, however they should still live created after the records is moved to the goal database. similarly, the triggers can furthermore live migrated when information is moved to goal database. The hyperlink between device-duration temporal tables and their linked background tables need to live broken earlier than the desk's records may furthermore live moved (this holds genuine for bitemporal tables). A gadget-length temporal desk is a desk that maintains historical models of its rows. Bitemporal Modeling is an guidance modeling approach designed to tackle feeble information alongside two diverse timelines. A bitemporal desk is a table that combines the ancient monitoring of a gadget-length temporal desk with the time-specific records storage capabilities of an application-length temporal table. Bitemporal tables are frequently used to hold person-primarily based duration information in addition to gadget-primarily based feeble assistance.

    Now we've some conception on what emigrate and what not to. Database directors may still searching for some downtime while performing this. proper planning and cautions should live taken whereas performing each of the discussed actions, and proper time should live disbursed to live awake the character of migration. Let me furthermore aspect out a tremendous constraint with migration to DBaaS or DB on instances on cloud (from system object PoV): only one buffer pool can live supported and the person areas may still live merged with leading user zone with one buffer pool emigrate to the goal state. distinctive person spaces with assorted DB pools and buffer swimming pools will not live supported for DBaaS or DB on sample (VM) on cloud. So, live awake that!

    Now they would birth the migration. There are obvious apparatus developed from IBM to achieve migration projects, and the censorious ones are db2look utility and IBM Optim high efficiency dump. Db2look utility is used for producing novel records Definition Language (DDL) statements for goal DB2. IBM Optim high efficiency sell off can role copying the current Database to a short lived folder/bucket, which can live AWS S3 or Softlayer Swift. The selfsame tool can furthermore live leveraged to paste through import/load utility to the goal.

    The various tips on how to circulate statistics to DB2 on cloud — DB2 hosted, DB2 on cloud and DB2 warehouse on cloud are given beneath:

  • Load statistics from a autochthonous file saved on the laptop (the spend of #Bluemix interface)
  • Load information from a Softlayer swift object retain (the spend of #Bluemix interface)
  • Load data from Amazon S3 (the usage of #Bluemix interface)
  • Use the DB2 information circulation utilities, remotely
  • Use the IBM statistics transfer provider (25 to 100TB)
  • Use the IBM Mass facts migration provider (a hundred TB or extra)
  • Now comes the security point while migrating, encryption the spend of AES or 3DES is counseled. SSL and TLS are the favored how one can relaxed statistics in transit.

    Let’s furthermore shed some light on DB2’s autochthonous encryption and the way it really works.

  • customer requests an SSL connection and lists its supported cipher suites (AES, 3DES)
  • Then, the server responds with a selected cipher suite and a duplicate of its digital certificate, which comprises a public key.
  • client checks the validity of certificate — whether it is legitimate, a session key and a message authentication code (MAC) is encrypted with a public key and sent again to the server.
  • Server decrypts the session key and MAC (message authentication code), then route an acknowledgment to birth an encrypted session with the client
  • Server and client securely trade facts using the session key and MAC chosen.
  • These are some of the valuable features to live considered whereas migrating on-premise databases to IBM DB2 on Cloud.

    consider free to share your views in the comments. 

    topics:

    ibm db2 ,database migration ,database ,ibm ,ibm cloud


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    000-612 DB2 10 DBA for z/OS

    Study lead Prepared by Killexams.com IBM Dumps Experts


    Killexams.com 000-612 Dumps and existent Questions

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    000-612 exam Dumps Source : DB2 10 DBA for z/OS

    Test Code : 000-612
    Test designation : DB2 10 DBA for z/OS
    Vendor designation : IBM
    : 134 existent Questions

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    DB2 10 DBA for z/OS

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    Big Data: Health Checking Your System | killexams.com existent questions and Pass4sure dumps

    As powerful data solutions grow in size and complexity, concerns can mount about future performance. Will the current application scale up and out? Are there potential issues with data consistency? Can your powerful data application co-exist on the selfsame hardware with regular production processing, or is it destined to live implemented in either a stand-alone configuration or in the cloud? One way to assess the potential effects of these issues is to measure your powerful data application’s health.

    In the Beginning

    Early powerful data solutions were presented as stand-alone, turnkey systems that required no performance tuning and promised “crazy fast” query execution times. Very itsy-bitsy support from database administrators (DBAs) or systems programmers was required.

    For a few years and for most IT shops, this held true. However, the number of analyzable data types grew (think XML, video, click-streams) and the time scope of industry queries expanded from current month to recent months to year-over-year. Total data volumes in some businesses grew beyond the 100 terabyte range, while at the selfsame time queries that originally were executed only once morphed into regular reports.  Performance began to degrade. Tuning became a necessity.

    Big Data on Db2

    IBM’s flagship entry into the powerful data arena is the IBM Db2 Analytics Accelerator (IDAA). This was originally presented as a hybrid hardware/software solution with a proprietary data store and highly parallelized I/O processing. The Db2 Optimizer was enhanced to respect tables stored in the IDAA as alternatives for query data access paths. For example, the DBA may select to store a Customer table in both autochthonous Db2 and the IDAA. Any query that accesses the Customer table is analyzed by the Db2 Optimizer, which then decides which of the table occurrences will provide the best query performance. Thus, real-time queries that require a single row from the Customer table will procure their data from the table in Db2, while analytic queries may live directed to the table in IDAA.

    Later versions of IDAA allowed the DBA several feasible ways to impress query execution, including data clustering and data partitioning options. The DBA became more and more involved in configuring the IDAA, and consequently needed to understand current and potentially future data access options by user queries. Consequently, the DBA was now in a position to resolve performance and health issues.

    The latest upgrade to IDAA allows it to race natively on z14 hardware using a analytic partition (LPAR) called the z Secure Service Container. Embedding such specialized storage and processing directly into the mainframe configuration means that the hardware and accompanying operating systems software can process both on-line transactions and industry analytics queries at the selfsame time, sometimes called hybrid transactional and analytic processing (HTAP).

    The Health of Your powerful Data System

    Today, the DBA is intimately involved with configuration and tuning of the powerful data application, partly because vendors responded to their concerns by upgrading solutions to comprehend options such as data clustering and data partitioning. Still, performance tuning is only one aspect of the health of a system.

    Application or system health is a combination of the user suffer and resource utilization. While there are other items that are pertinent to application health in common (such as data availability and consistency and various integrity rules), these are rarely an issue in a powerful data environment as the data loaded there originates from operational systems.

    We concentrate on these two points because they may live affected the most as powerful data configuration options expand, data volumes multiply and the needs of the industry analysts change over time.

    User Experience

    Generally speaking, the powerful data user differs from users of other systems (including the data warehouse) in several ways. industry analysts typically spend a specialized software interface that displays powerful data entities and relationships in one or more visual formats, allowing the user to point-and-click or drag-and-drop choices of data items, selection options, aggregation criteria, analysis time periods and the like. The software then constructs the confiscate query or queries, accesses the data and returns the results, usually in tabular or pictorial form.

    The user’s suffer is tied directly to their software package, and not to the SQL query generated. This makes query performance tuning by far difficult, as users are not usually awake of the underlying query syntax. Further, their software may cover from them any available performance options such as keys, clustering, indexes or other features. What the user notices the most is query response time.

    To address the user experience, the DBA can spend several methods to monitor the health of their powerful data application.

    Query Tuning: While it may live difficult (or impossible) to forecast what queries may live generated by industry analytics software tools, the DBA can still achieve spend of historical access patterns. What tables are accessed, and how frequently? What tables are commonly joined? Which tables are dimension tables (used for aggregations, subsetting and sorting) and which are fact tables (used for calculations)? What access paths are typical? Is the starjoin access path (typical in data warehouse applications) used at all?

    Typically, the DBA will spend a tool to capture historical SQL statements and their access paths. This can live done in Db2 via the dynamic statement cache and the interpret tool. Then, store the results in a set of performance history tables. repeat on a regular basis. You can then query the results to admit the above questions. Commonly accessed tables might live stored both in autochthonous Db2 and IDAA. Commonly joined tables should live clustered and partitioned in a similar manner to entangle handicap of parallelism. Common data particular aggregations can live pre-computed and stored in tables themselves (sometimes called summary tables or materialized query tables), providing for faster queries that aggregate these items.

    Query the performance history tables to determine if the selfsame access path(s) are used to access the selfsame tables. If not, are any of the access paths faster, and can objects or queries live tweaked to entangle handicap of them?

    Data Archival: Another system of addressing perceived slowness of queries is to remove stale or feeble data or spot it in a secondary set of tables. For example, respect a table of customer transactions over time. retain the most current data in a Current Customer Transactions table, hotfoot the prior three months of data to a Recent Customer Transactions table, and spot the oldest in a Historical Customer Transactions table. By splitting the data this way, queries acting upon current or mostly current data will access fewer tables, and thus redeem data processing time.

    Another system of archival is a figure of what is called vertical partitioning. Review the columns in a commonly accessed table and split them into two categories based upon how often they are referenced in queries. spot frequently accessed columns in one version of the table, infrequently accessed columns in another. As with archival, queries that select only frequently accessed columns will reduce the number of I/Os necessary to retrieve what is needed.

    Customized Environments: Users across an enterprise can spend powerful data for completely different purposes. Ad hoc users create novel queries, or slightly modified versions of current ones. Reporting users race and re-run current queries on a regular basis to provide reports to management. Data mart users entangle regular extracts of powerful data and load them into their own local databases for intensive analysis. Each category of user accesses powerful data in a different way, so each has a different experience.

    The ad hoc user requires the most intensive support from the DBA. Here, it is valuable to congregate and maintain historical table usage and access path data. Single query execution speed is the most valuable factor, and the DBA will most likely live tuning objects (through archival, clustering, partitioning, etc.) rather than tuning SQL. On some occasions, there will live SQL issues. This is because the industry analytics software may not live generating the highest trait query syntax. Some software vendors fill features that allow your support staff to achieve minor changes to sure categories of SQL statements, or to sure clauses. Clauses such as OPTIMIZE FOR n ROWS or FETCH FIRST n ROWS can live appended to some queries, while the software can live configured to recognize things such as summary tables.

    The reporting user exists in a much more static environment. Here, the reporting queries executed are typically stored in a format that allows for editing. Thus, if the DBA is awake of a better way of coding the query, they can achieve the confiscate changes.

    Data mart users typically extract from the powerful data application because the data there has already been extracted, cleaned, transformed and loaded from operational systems. While this is a convenience for the data mart user, it may live a faster option to fill them extract data directly from operational systems. The processes already exist for powerful data, and probably furthermore for your data warehouse, and they can live modified appropriately to route data to the data marts as well.

    Resource Utilization

    Resource utilization drives costs in several ways. Applications’ needs for CPU, memory, disk space and network bandwidth drive the direct costs of purchasing, installing and maintaining these resources. Implementing IDAA as a stand-alone hybrid has the result of offloading CPU cycles from the mainframe. Extracting data to a remote data mart for processing can fill a similar effect.

    One common issue regarding disk space is the colossal amount of space provided in powerful data solutions. Space in the hundreds of terabytes are common. When your powerful data application receives its first load of data much of that space remains unused. It is therefore a powerful temptation to spend it as storage for other things. Some examples comprehend archive tables, database backups, and space for multiple environments such as development, test and production.

    If you allow things other than powerful data to live stored in the IDAA you must entangle into account the future usage of the device and the environment. One such consideration is cataclysm recovery. Most mature powerful data applications can live accessed directly from production systems for things such as credit analysis, product buy recommendations or fraud detection. As such, your powerful data environment may need to live replicated in some manner at your cataclysm recovery site, perhaps thereby doubling the amount of resources you need to acquire. Implementation of your powerful data in a robust cataclysm recovery environment is censorious for the health of your overall system.

    Another issue is software costs. Some software is priced based upon CPU usage. Typical examples in the IBM world are the z/OS operating system, Db2, and Cobol. In this environment, reducing CPU usage may live a major concern. One option is to spend the IDAA as a spot to store non-big data objects, perhaps frequently queried tables.

    Common powerful Data Health Metrics

    It is best to automate the gathering and reporting of sure statistics that measure sure aspects of your powerful data environment. These are mostly data-related and are aimed at ensuring that data is complete and consistent. These comprehend the following.

    Cross check table sizes - If you fill tables existing in multiple places (such as a Customer table in both autochthonous Db2 and in the IDAA), attain they fill the selfsame number of rows?

    Business rule integrity - attain data elements fill values that are amend per the industry rules that define them? For example, attain entire customers fill a valid value for Customer-Name? These rules are usually organize in the extract, transform and load logic, but may furthermore live organize in the code for operational systems.

    Data consistency - attain entire data elements fill existing, valid values? respect querying either powerful data tables or input load files for non-numeric quantities or dates, inter-element consistency (Retire-Date should either live null or live greater than Hire-Date).

    Access path consistency - Is table data accessed using the selfsame Db2 access path every time, or are there exceptions?

    Aggregation consistency - Are there common aggregations (for sample sales summarized by region, or shipping costs by product by date), and can they live augmented by pre-aggregating with summary tables?

    Summary

    The health of your powerful data application is relative upon how you address both the user suffer and resource utilization. Along with regular query capture, analysis and tuning, the DBA should device on means and methods of archiving feeble or little-referenced data to reduce I/Os by most queries. Customizing the environment is sometimes possible, perhaps by implementing a stand-alone powerful data solution, sometimes by extracting data to remote locations for analysis (and consequent reduction in local CPU usage). Finally, metrics exist that can raise flags indicating that your data is becoming less consistent or usable. respect entire the above when supporting your powerful data solution.


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

    Dec 4, 2013

    Craig S. Mullins

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

    Performance Claims in DB2

    As is normal with a novel version of DB2, IBM boasts of performance improvements available in DB2 11. The claims scope 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 spend the novel features of DB2 11 IBM claims that you can achieve even better performance.

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

    Programmer Features in DB2

    In terms of novel 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 live used to minimize the impact of novel version changes on existing applications.

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

    DBA Features in DB2

    DB2 11 furthermore offers many novel 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 spend 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 novel DB2 Catalog repair capability, and DSNACCOX delivers improved performance.

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

    Other novel DBA capabilities comprehend better control over externalizing existent 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 powerful Data Features in DB2

    DB2 11 furthermore boasts novel features for supporting powerful data and analytical processing. Probably the biggest is the ability to support Hadoop access. DB2 11 can live 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 powerful data. As such, you can spend JSON to access Hadoop data via DB2 using the UDF supplied by IBM BigInsights.

    DB2 11 furthermore adds novel SQL analytical extensions, including GROUPING SETS, ROLLUP, and CUBE. And a novel version (V3) of IBM DB2 Analytics Accelerator (IDAA) is fragment of the mingle 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 arresting and useful novel features. They scope the gamut from progress to admin­istration to performance to integration with powerful data. Now that DB2 11 is out in the field and available for organizations to start using it, the time has arrive for entire DB2 users to entangle 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 suffer in entire facets of data management and database systems development. You can attain him via his website at www.craigsmullins.com.


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

    This chapter is from the bespeak 

    Using DB2's Distributed Data Facility (DDF) provides access to data held by other data management systems or to achieve your DB2 data accessible to other systems. A DB2 application program can spend SQL to access data at other database management systems (DBMSs) other than the DB2 at which the application's device is bound. This DB2 is known as the local DB2. The local DB2 and the other DBMSs are called application servers. Any application server other than the local DB2 is considered a remote server, and access to its data is a distributed operation.

    DB2 provides two methods of accessing data at remote application servers: DRDA and DB2 private protocol access. For application servers that support the two-phase commit process, both methods allow for updating data at several remote locations within the selfsame unit of work.

    The location designation of the DB2 subsystem is defined during DB2 installation. The CDB records the location designation and the network address of a remote DBMS. The tables in the CDB are fragment of the DB2 catalog.

    Distributed Relational Database Architecture

    With DRDA, the recommended method, the application connects to a server at another location and executes packages that fill been previously bound at that server. The application uses a CONNECT statement, a three-part designation or, if bound with DBPROTOCOL(DRDA), an alias to access the server.

    Queries can originate from any system or application that issues SQL statements as an application requester in the formats required by DRDA. DRDA access supports the execution of dynamic SQL statements and SQL statements that meet entire the following conditions.

  • The static statements appear in a package bound to an accessible server.

  • The statements are executed using that package.

  • The objects involved in the execution of the statements are at the server where the package is bound. If the server is a DB2 subsystem, three-part names and aliases can live used to advert to another DB2 server.

  • DRDA access can live used in application programs by coding definite CONNECT statements or by coding three-part names and specifying the DBPROTOCOL(DRDA) bind option. For more on bind options, advert to Chapter 11.

    DRDA access is based on a set of DRDA protocols. (These protocols are documented by the Open Group Technical Standard in DRDA Volume 1: Distributed Relational Database Architecture (DRDA).) DRDA communication conventions are invisible to DB2 applications and allow a DB2 to bind and rebind packages at other servers and to execute the statements in those packages.

    For two-phase commit using SNA connections, DB2 supports both presumed-abort and presumed-nothing protocols that are defined by DRDA. If you are usingTCP/IP, DB2 uses the sync point manager defined in the documentation for DRDA level 3.

    DB2 Private Protocol

    With private protocol, the application must spend an alias or a three-part designation to direct the SQL statement to a given location. Private protocol works only between application requesters and servers that are both DB2 for z/OS subsystems.

    A statement is executed using DB2 private protocol access if it refers to objects that are not at the current server and is implicitly or explicitly bound with DBPROTOCOL(PRIVATE). The current server is the DBMS to which an application is actively connected. DB2 private protocol access uses DB2 private connections. The statements that can live executed are SQL INSERT, UPDATE, and DELETE and SELECT statements with their associated SQL OPEN, FETCH, and close statements.

    In a program running under DB2, a three-part designation or an alias can advert to a table or a view at another DB2. The location designation identifies the other DB2 to the DB2 application server. A three-part designation consists of a location, an authorization ID, and an object name. For example, the designation NYSERVER.DB2USER1.TEST refers to a table named DB2USER1.TEST at the server whose location designation is NYSERVER.

    Alias names fill the selfsame allowable forms as table or view names. The designation can advert to a table or a view at the current server or to a table or a view elsewhere. For more on aliases, advert to Chapter 4.

    Private protocol does not support many distributed functions, such as TCP/IP or stored procedures. The newer data types, such as LOB or user-defined types, are furthermore not supported by private protocol. It is not the recommended system to spend and is no longer being enhanced or supported from version 8 forward.

    Communications Protocols

    DDF uses TCP/IP or SNA to communicate with other systems. Setting up a network for spend by database management systems requires erudition of both database management and communications. Thus, you must Put together a team of people with those skills to device and implement the network.

    TCP/IP

    Transmission Control Protocol/Internet Protocol (TCP/IP) is a standard communication protocol for network communications. Previous versions of DB2 supported TCP/IP requesters, although additional software and configuration were required. autochthonous TCP/IP eliminates these requirements, allowing gatewayless connectivity to DB2 for systems running UNIX System Services.

    SNA

    System Network Architecture (SNA) is the description of the analytic structure, formats, protocols, and operational sequences for transmitting information through and controlling the configuration and operation of the networks. It is one of the two main network architectures used for network communications to the enterprise servers.

    VTAM

    DB2 furthermore uses Virtual Telecommunications Access system (VTAM) for communicating with remote databases. This is done live assigning two names for the local DB2 subsystem: a location designation and a analytic unit (LU) name. A location designation distinguishes a specific database management system in a network, so applications spend this designation to direct requests to the local DB2 subsystem. Other systems spend different terms for a location name. For example, DB2 Connect calls this the target database name. DB2 uses the DRDA term, RDBNAM, to advert to non-DB2 relational database names.

    Communications Database

    The DB2 catalog includes the communications database (CDB), which contains several tables that hold information about connections with remote systems. These tables are

  • SYSIBM.LOCATIONS

  • SYSIBM.LUNAMES

  • SYSIBM.IPNAMES

  • SYSIBM.MODESELECT

  • SYSIBM.USERNAMES

  • SYSIBM.LULIST

  • SYSIBM.LUMODES

  • Some of these tables must live populated before data can live requested from remote systems. If this DB2 system services only data requests, the CDB does not fill to live populated; the default values can live used.

    When sending a request, DB2 uses the LINKNAME column of the SYSIBM.LOCATIONS catalog table to determine which protocol to use.

  • To receive VTAM requests, a LUNAME must live selected in installation panel DSNTIPR.

  • To receive TCP/IP requests, a DRDA port and a resynchronization port must live selected in installation panel DSNTIP5. TCP/IP uses the server's port number to pass network requests to the amend DB2 subsystem. If the value in the LINKNAME column is organize in the SYSIBM.IPNAMES table, TCP/IP is used for DRDA connections. If the value is organize in the SYSIBM.LUNAMES table, SNA is used.

  • If the selfsame designation is in both SYSIBM.LUNAMES and SYSIBM.IPNAMES, TCP/IP is used to connect to the location.

  • A requester cannot spend both SNA and TCP/IP to connect to a given location. For example, if SYSIBM.LOCATIONS specifies a LINKNAME of LU1, and if LU1 is defined in both the SYSIBM.IPNAMES and SYSIBM.LUNAMES tables, TCP/IP is the only protocol used to connect to LU1 from this requester for DRDA connections. For private protocol connections, the SNA protocols are used. If private protocol connections are being used, the SYSIBM.LUNAMES table must live defined for the remote location's LUNAME.



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