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C2090-312 IBM DB2 11 DBA for z/OS

Study Guide Prepared by IBM Dumps Experts C2090-312 Dumps and Real Questions 2019

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C2090-312 exam Dumps Source : IBM DB2 11 DBA for z/OS

Test Code : C2090-312
Test Name : IBM DB2 11 DBA for z/OS
Vendor Name : IBM
Q&A : 67 Real Questions

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IBM Db2 question Optimization using AI | Real Questions and Pass4sure dumps

In September 2018, IBM announced a brand new product, IBM Db2 AI for z/OS. This artificial intelligence engine screens records access patterns from executing SQL statements, uses computing device discovering algorithms to pick out most fulfilling patterns and passes this counsel to the Db2 query optimizer for use with the aid of subsequent statements.

desktop learning on the IBM z Platform

In may of 2018, IBM introduced edition 1.2 of its machine learning for z/OS (MLz) product. here's a hybrid zServer and cloud utility suite that ingests performance statistics, analyzes and builds models that signify the health reputation of a number of symptoms, monitors them over time and provides actual-time scoring capabilities.

several points of this product providing are aimed toward supporting a neighborhood of mannequin builders and bosses. for instance:

  • It helps diverse programming languages corresponding to Python, Scala and R. This permits data modelers and scientists to make use of a language with which they're commonplace;
  • A graphical user interface referred to as the visible mannequin Builder guides model developers with out requiring extremely-technical programming competencies;
  • It contains distinctive dashboards for monitoring model outcomes and scoring capabilities, in addition to controlling the gadget configuration.
  • This computing device discovering suite became firstly aimed toward zServer-based mostly analytics applications. one of the crucial first obvious choices was zSystem efficiency monitoring and tuning. equipment management Facility (SMF) records that are instantly generated by using the working system supply the raw statistics for system aid consumption corresponding to significant processor usage, I/O processing, reminiscence paging and the like. IBM MLz can collect and keep these facts over time, and build and train models of device conduct, ranking these behaviors, identify patterns no longer effortlessly foreseen through humans, advance key performance indicators (KPIs) and then feed the model outcomes again into the gadget to have an effect on device configuration changes that may enhance efficiency.

    The next step turned into to put into effect this suite to investigate Db2 efficiency statistics. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) answer template, applies the computing device getting to know expertise to Db2 operational information to profit an figuring out of Db2 subsystem fitness. it can dynamically construct baselines for key efficiency warning signs, give a dashboard of these KPIs and give operational personnel precise-time perception into Db2 operations.

    whereas common Db2 subsystem performance is an important element in basic utility health and performance, IBM estimates that the DBA aid group of workers spends 25% or more of its time, " ... combating access path complications which trigger performance degradation and service impact.". (See Reference 1).

    AI involves Db2

    accept as true with the plight of modern DBAs in a Db2 environment. In state-of-the-art IT world they should help one or extra big data functions, cloud software and database capabilities, software setting up and configuration, Db2 subsystem and software performance tuning, database definition and administration, disaster recuperation planning, and more. query tuning has been in existence in view that the origins of the database, and DBAs are continually tasked with this as smartly.

    The coronary heart of query route analysis in Db2 is the Optimizer. It accepts SQL statements from purposes, verifies authority to access the records, studies the places of the objects to be accessed and develops an inventory of candidate records entry paths. These access paths can consist of indexes, table scans, a considerable number of table be a part of strategies and others. within the statistics warehouse and large information environments there are always further decisions attainable. One of these is the existence of abstract tables (occasionally known as materialized question tables) that include pre-summarized or aggregated records, consequently permitting Db2 to steer clear of re-aggregation processing. yet another option is the starjoin access route, common within the facts warehouse, where the order of table joins is modified for performance causes.

    The Optimizer then experiences the candidate entry paths and chooses the entry course, "with the lowest cost." charge in this context means a weighted summation of resource usage including CPU, I/O, memory and different resources. ultimately, the Optimizer takes the lowest charge access direction, shops it in memory (and, optionally, in the Db2 listing) and begins entry path execution.

    huge records and data warehouse operations now consist of utility suites that permit the company analyst to make use of a graphical interface to build and manipulate a miniature data model of the records they need to analyze. The packages then generate SQL statements in keeping with the clients’ requests.

    The issue for the DBA

    with the intention to do first rate analytics for your diverse statistics retailers you want an outstanding realizing of the information requirements, an understanding of the analytical functions and algorithms purchasable and a high-efficiency information infrastructure. unluckily, the number and location of facts sources is expanding (each in measurement and in geography), data sizes are starting to be, and purposes proceed to proliferate in number and complexity. How should still IT managers assist this atmosphere, particularly with essentially the most experienced and mature body of workers nearing retirement?

    have in mind additionally that a big a part of cutting back the total can charge of ownership of these programs is to get Db2 purposes to run faster and greater efficiently. This continually interprets into the usage of fewer CPU cycles, doing fewer I/Os and transporting less facts throughout the community. on account that it is frequently complex to even determine which purposes may benefit from performance tuning, one approach is to automate the detection and correction of tuning considerations. here is where laptop researching and artificial intelligence will also be used to extraordinary impact.

    Db2 12 for z/OS and artificial Intelligence

    Db2 version 12 on z/OS uses the computing device getting to know amenities mentioned above to accumulate and save SQL query textual content and access path details, in addition to precise efficiency-connected old counsel comparable to CPU time used, elapsed instances and influence set sizes. This providing, described as Db2 AI for z/OS, analyzes and shops the data in computing device getting to know fashions, with the model analysis outcomes then being scored and made attainable to the Db2 Optimizer. The subsequent time a scored SQL statement is encountered, the Optimizer can then use the model scoring information as input to its entry course option algorithm.

    The influence may still be a discount in CPU consumption because the Optimizer makes use of mannequin scoring input to choose superior entry paths. This then lowers CPU charges and speeds software response times. a significant abilities is that the usage of AI software does not require the DBA to have statistics science skills or deep insights into query tuning methodologies. The Optimizer now chooses the optimal access paths based no longer best on SQL query syntax and data distribution statistics however on modelled and scored historical performance.

    This can be principally vital if you keep records in distinct areas. as an instance, many analytical queries against large data require concurrent access to certain statistics warehouse tables. These tables are frequently referred to as dimension tables, and they comprise the facts points continually used to control subsetting and aggregation. for example, in a retail ambiance trust a desk referred to as StoreLocation that enumerates every save and its location code. Queries in opposition t store sales records might also wish to combination or summarize income through place; hence, the StoreLocation desk should be used by means of some huge information queries. in this environment it is normal to take the dimension tables and copy them always to the large records software. within the IBM world this region is the IBM Db2 Analytics Accelerator (IDAA).

    Now believe about SQL queries from each operational purposes, facts warehouse clients and large records business analysts. From Db2's point of view, all these queries are equal, and are forwarded to the Optimizer. although, within the case of operational queries and warehouse queries they should certainly be directed to entry the StoreLocation desk in the warehouse. however, the query from the company analyst against big information tables may still likely access the reproduction of the table there. This results in a proliferations of talents entry paths, and more work for the Optimizer. luckily, Db2 AI for z/OS can deliver the Optimizer the tips it must make sensible access route decisions.

    how it Works

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

  • right through a bind, rebind, prepare or clarify operation, an SQL statement is handed to the Optimizer;
  • The Optimizer chooses the facts entry route; as the option is made, Db2 AI captures the SQL syntax, entry course alternative and question performance facts (CPU used, etc.) and passes it to a "learning task";
  • The studying assignment, which can also be carried out on a zIIP processor (a non-time-honored-purpose CPU core that doesn't aspect into utility licensing expenses), interfaces with the computing device discovering application (MLz model functions) to keep this tips in a model;
  • as the quantity of statistics in every mannequin grows, the MLz Scoring provider (which also can be performed on a zIIP processor) analyzes the model statistics and ratings the behavior;
  • during the subsequent bind, rebind, put together or explain, the Optimizer now has entry to the scoring for SQL models, and makes acceptable changes to access direction choices.
  • There are also a number of user interfaces that give the administrator visibility to the status of the amassed SQL commentary performance statistics and model scoring.


    IBM's desktop discovering for zOS (MLz) offering is getting used to splendid effect in Db2 version 12 to enrich the performance of analytical queries in addition to operational queries and their associated functions. This requires administration attention, as you must determine that your company is ready to devour these ML and AI conclusions. How will you measure the costs and benefits of the usage of computer researching? Which IT help staff ought to be tasked to reviewing the result of mannequin scoring, and perhaps approving (or overriding) the outcomes? How will you evaluation and justify the assumptions that the software makes about access route choices?

    In different phrases, how well were you aware your records, its distribution, its integrity and your present and proposed entry paths? this can examine the place the DBAs spend their time in supporting analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 wonderful EngineerFrom "IBM Db2 AI for z/OS: enhance IBM Db2 software performance with machine studying"

    Reference 2

    Db2 AI for z/OS

    See all articles by way of Lockwood Lyon

    how to Migrate On-Premise Databases to IBM DB2 On Cloud | Real Questions and Pass4sure dumps


    Database migration can seem essential from outdoor, particularly, get the supply facts and import/load to the target database, however the satan is always in the details, and the route isn't that elementary. A database includes greater than simply the statistics. A database can encompass various — but commonly linked — objects. With DB2, two forms of objects can exist: system objects and information objects. let's see what they are, and in a while in the article, probably the most most important objects are mentioned from warning views all over planning and migrating.

    many of the principal database engines present the identical set of essential database object forms: (please examine additionally on these object types from respective carriers. The definition and performance would be more or less identical. An analogy is that you just power cars, and in case you stream from one motor vehicle to one other, the fundamentals of vehicles continue to be the identical, however changes encompass ignition buttons, home windows, constitution as an entire, etc., but the functional use and base of the motor vehicle continues to be the equal, like four wheels, engines, chassis, and so forth.)

  • Tables
  • Indexes
  • Sequences
  • Views
  • Synonyms
  • Indexes
  • Alias
  • Triggers
  • user-defined information varieties (UDTs),
  • consumer-defined services (UDFs)
  • saved processes
  • packages
  • device Objects encompass:

  • Storage businesses
  • Tablespaces
  • Buffer pools
  • gadget Catalog tables and views
  • Transaction log information
  • These objects at on-premise databases may still accept proper care while planning migrations. It is terribly essential to remember what will also be migrated and what can't seeing that there can be a need for skilled services from a 3rd birthday celebration or from a cloud seller in doing so.

    What Can and might't Be Migrated?

    established SQL user-defined functions (UDFs) will also be migrated but exterior UDFs might have some difficulty being migrated. exterior UDFs can be written in C, C++, or Java and then compiled in some circumstances to kind a library and take a seat at a unique vicinity and would need to be registered with DB2. So, external UDFs deserve to be rebuilt on cloud servers as a result of OS versions could be different on the target. Migrating such UDFs could want database migration services from cloud vendors or they cannot be migrated to cloud. in a similar fashion, SQL stored methods can also be migrated to the target Database, however exterior shop approaches will carry the equal constraints than that of UDF and should not be supported. Materialized query desk(MQTs) may also be migrated, however they should still be created after the records is moved to the target database. in a similar way, the triggers will also be migrated when information is moved to target database. The link between equipment-duration temporal tables and their linked background tables need to be damaged earlier than the desk's data can also be moved (this holds true for bitemporal tables). A system-duration temporal table is a table that keeps historical models of its rows. Bitemporal Modeling is an assistance modeling technique designed to tackle ancient facts alongside two diverse timelines. A bitemporal table is a table that combines the historic monitoring of a equipment-period temporal table with the time-certain facts storage capabilities of an software-period temporal table. Bitemporal tables are commonly used to hold person-based mostly period information as well as system-based mostly old counsel.

    Now we've some concept on what emigrate and what no longer to. Database administrators should are seeking for some downtime while performing this. appropriate planning and cautions may still be taken while performing each and every of the discussed activities, and relevant time should still be disbursed to bear in mind the character of migration. Let me additionally factor out a huge constraint with migration to DBaaS or DB on circumstances on cloud (from gadget Object PoV): just one buffer pool would be supported and the person spaces should still be merged with leading consumer house with one buffer pool to migrate to the target state. distinct person spaces with diverse DB swimming pools and buffer pools aren't supported for DBaaS or DB on example (VM) on cloud. So, bear in mind that!

    Now we'd beginning the migration. There are definite equipment developed from IBM to operate migration projects, and the essential ones are db2look utility and IBM Optim high efficiency unload. Db2look utility is used for producing new facts Definition Language (DDL) statements for target DB2. IBM Optim high efficiency dump can operate copying the latest Database to a brief folder/bucket, which can be AWS S3 or Softlayer Swift. The identical device can also be leveraged to paste through import/load utility to the goal.

    The a considerable number of ways to circulate records to DB2 on cloud — DB2 hosted, DB2 on cloud and DB2 warehouse on cloud are given under:

  • Load records from a local file kept on the computer (the use of #Bluemix interface)
  • Load facts from a Softlayer swift object store (using #Bluemix interface)
  • Load statistics from Amazon S3 (the use of #Bluemix interface)
  • Use the DB2 statistics circulation utilities, remotely
  • Use the IBM data switch service (25 to 100TB)
  • Use the IBM Mass records migration provider (one hundred TB or greater)
  • Now comes the safety aspect while migrating, encryption the use of AES or 3DES is suggested. SSL and TLS are the favored the right way to secure data in transit.

    Let’s additionally shed some mild on DB2’s native encryption and how it works.

  • client requests an SSL connection and lists its supported cipher suites (AES, 3DES)
  • Then, the server responds with a particular cipher suite and a duplicate of its digital certificate, which comprises a public key.
  • customer assessments the validity of certificate — whether it is legitimate, a session key and a message authentication code (MAC) is encrypted with a public key and despatched returned to the server.
  • Server decrypts the session key and MAC (message authentication code), then send an acknowledgment to beginning an encrypted session with the client
  • Server and client securely change information the use of the session key and MAC selected.
  • These are one of the crucial essential features to be considered whereas migrating on-premise databases to IBM DB2 on Cloud.

    believe free to share your views within the comments. 


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

    IBM DB2 relational DBMS overview | Real Questions and Pass4sure dumps

    IBM DB2 is a relational DBMS with integrated support for a couple of NoSQL capabilities, including XML, graph store and Java Script Object Notation (JSON). Used via agencies of all sizes, DB2 provides a knowledge platform for each transactional and analytical operations in addition to continual availability of statistics to preserve transactional workflows and analytics operating correctly.

    OSes DB2 helps

    DB2 is attainable for three basic systems:

  • computing device, with DB2 for Linux, Unix and windows (LUW)
  • Midrange, with DB2 for iSeries
  • Mainframe, with DB2 for z/OS, the predominant mainframe relational DBMS
  • DB2 helps these Unix editions: AIX, Solaris and HP-UX; Linux versions consist of crimson Hat, SUSE, Ubuntu and Linux on pSeries and device z.

    DB2 for i comes pre-put in on the iSeries server and, as such, may not be addressed right here.

    DB2 elements

    The existing version of DB2 for LUW is 11.1, launched in second quarter 2016. This unencumber makes a speciality of improvements to BLU Acceleration and pureScale performance.

    BLU Acceleration, introduced to DB2 in edition 10.5, gives a column keep capacity, as well as technological performance boosts for actionable compression, exploitation of the only guide diverse statistics (SIMD) capabilities of contemporary CPUs, and records skipping expertise.

    For DB2 eleven, BLU Acceleration will also be deployed across a massively parallel processing (MPP) community cluster architecture. BLU Acceleration may also be utilized in database partitioning facility environments for MPP scale out, which can improve query performance for colossal partitioned purposes. moreover, this version improves in-memory capabilities for column-organized tables and integration with IBM data Server supervisor to analyze workloads and assess even if they can benefit from column-oriented tables.

    DB2 for LUW 11 additionally provides support for top Availability catastrophe restoration, or HADR, in pureScale clustered DB2 databases. statistics may also be mirrored from a primary pureScale database cluster to a second native or remote standby cluster, thereby enhancing recoverability. An further development for pureScale is the beginning of on-line repair pack replace assist, permitting users to follow DB2 11.1 fix packs to particular person members working in a pureScale cluster with no need to take the entire cluster offline.

    On the security front, DB2 11 makes it possible for the use of business key administration systems for storing native encryption master keys. The DB2 advanced healing function is a bundle of database backup, recuperation and statistics extraction equipment that may aid clients enrich availability, mitigate risk and optimize administrative projects.

    The existing edition of DB2 for z/OS is 11, which changed into launched in October 2013. Highlights of DB2 11 for z/OS consist of performance and availability enhancements, better analytics capabilities, utility compatibility elements, more suitable entry direction steadiness and archive transparency. IBM additionally offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for dashing up analytical queries.

    DB2 for LUW requires two configuration data: the Database supervisor configuration file containing configuration parameters for a whole illustration, and Database configuration info for every database.      

    DB2 for LUW is also embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-consuming setting up and configuration required of a traditional DBMS setting up.

    DB2 for z/OS is installed as a subsystem with accessories for database features, lock management, distributed request processing and connecting to different mainframe agents. The subsystem is configured with a group of parameters called the DSNZPARMs.

    DB2 choices

    As of edition 11, IBM offers eight versions of DB2 for LUW:

  • DB2 advanced business Server edition presents the maximum level of functionality purchasable for DB2 and is appropriate for transactional, warehouse and combined workloads. This edition has no processor, reminiscence or database measurement limits and comes with a full complement of warehouse equipment, InfoSphere Optim equipment and IBM statistics Studio.
  • DB2 superior Workgroup Server version is akin to the DB2 advanced commercial enterprise Server edition, apart from it places limits on processor, memory and database size. This version is best-perfect for deployment in a departmental, workgroup or midsize enterprise atmosphere.
  • DB2 enterprise Server edition is correct for transactional and blended workloads, and like the superior edition, it has no processor, reminiscence or database dimension limits. youngsters, not like the advanced version, it lacks column-equipped tables, in-reminiscence database, records compression, workload management, replication and disbursed partitioning capabilities.
  • DB2 Workgroup Server version is primarily for transactional workloads. This edition locations limits on processor, memory and database size, which makes it most useful for medium-measurement workloads.
  • DB2 Direct advanced edition is a version of DB2 advanced Workgroup Server version for digital start.
  • DB2 Direct common edition is a digital edition of DB2 Workgroup Server version for digital delivery.
  • DB2 for massive information combines the relational engine of DB2 with IBM's BigInsights platform for big records and analytics. This version is designed to raise portability of records throughout relational methods and Hadoop.
  • DB2 Developer version is designed for a single software developer to design, construct and prototype functions for deployment on any of the IBM advice administration client or server platforms.
  • additionally, DB2 categorical-C version, an entry-degree version of the DB2 records server for the developer and associate neighborhood, is obtainable without charge. It will also be put in on physical or digital techniques with any volume of CPU and RAM, and is optimized to fritter away to a highest of two cores and 16 GB of reminiscence.

    DB2 information forms

    DB2 supports the standard numeric, character, and date/time records varieties smartly as LOBs, XML and person-described types. JSON is supported by way of DB2 JSON, a driver-based mostly solution that can provide JSON information representation inside the context of an RDBMS.

    DB2 benchmarks

    IBM has published numerous TPC benchmarks for DB2 on all platforms supported. IBM sells DB2 for LUW direct, through enterprise partners, online and thru application particular licensing, which permits vendors corresponding to SAP to license and promote DB2 relational DBMS as part of their functions.

    Pricing is in keeping with processor value unit (PVU), which is a unit of measure that IBM makes use of to license its software. IBM applies a PVU count number to every core of a processor. The pricing is then in accordance with the variety of PVUs for the processor and by way of the number of processors made available to DB2.

    The developer edition is licensed by means of approved consumer, no longer PVU. There are extra nuances to pricing and licensing according to DB2 editions that are not lined right here.

    DB2 licensing

    The license charge for DB2 comprises first-yr guide and subscription, entitling the owner to contact IBM for aid in addition to to down load fixes and improvements to future types/releases of the product.

    DB2 for z/OS relational DBMS is bought without delay by means of IBM and is licensed as a month-to-month license charge (MLC) product. There are a large number of metrics obtainable for pricing MLC products. A 90-day free trial download is available from the IBM web site.

    concerning the authorCraig S. Mullins is a data administration strategist, researcher, advisor and writer with greater than 30 years of adventure in all facets of database techniques development. he's president and fundamental advisor of Mullins Consulting Inc. and writer/editor of e mail him at

    email us at and observe us on Twitter: @sDataManagement.

    this article turned into up to date in September 2016.

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    IBM DB2 11 DBA for z/OS

    Pass 4 sure C2090-312 dumps | C2090-312 real questions | [HOSTED-SITE]

    Connecting DSX — RStudio to on-prem DB2 for z/OS database | real questions and Pass4sure dumps

    IBM Data Science Experience provides an environment that brings together all of a data scientist’s tools into one location. It includes the most popular Open Source tools and IBM value-add functionality with integration of community and social features to make data scientists more successful.

    A wide variety of cloud data sources are easily connected to DSX, or a user could upload data from DB2 on z/OS (by creating a copy) into the environment. However, the ability to access to data in-place on the system of record, has great appeal.

    In this guide, I will outline the steps needed to configure DSX to access an on-prem DB2 for z/OS database using JDBC and provide the ability to utilize RStudio to perform advanced analytics operations on this data.

    Here is an outline of the steps we will go through in the guide to set up the DSX environment for DB2 for z/OS connectivity:

  • Examine the RStudio interface.
  • Identify the JDBC driver files and configure the initial environment with RStudio.
  • If required, setup a Bluemix Secure Gateway.
  • Use the RJDBC package to connect with a DB2 for z/OS database, and run a query.
  • Data Science Experience — RStudio Interface

    (Note: The screenshots in this tutorial are from a Mac OSX environment running Firefox. If you are running from Windows or Linux, there may some differences in the appearance of the native dialogs and browser interfaces.)

    Once setup with your account, click on the DSX Logo at the top of your screen, and this will take you to the main Community page. Once there, if you click the far left drop-down menu, you will see your project options, including RStudio. Click on the the RStudio option, and this will open up your RStudio instance.

    If you have opened DSX RStudio before, the instance opened will have retained any history or enviroment settings that you had saved/autosaved from before. If you are familiar with RStudio and have used a native version of RStudio on Windows/Mac OSX, it will look exactly the same. The only difference is that the underlying infrastucture is running in a Bluemix virtual machine. There is limited access to the underlying operating system, but we can access the filesystem to upload the JDBC driver and license file and configure the connection for DB2 for z/OS.

    The RStudio interface should look similar to what is shown below……

    (For a complete guide to using RStudio, please see the documentation linked to in the ‘Help’ Section)

    Next, we will confirm that the correct packages are installed/loaded that enable JDBC access to our on-prem database.

    In the bottom right panel of the RStudio desktop you will see the ‘Packages’ tab, and within that is an ‘Install’ tab. If you click “Install”, you will get a dialog box that allows you to load the required packages from the CRAN repo. You will need to install ‘RJDBC’. If the ‘Install dependencies’ box is checked, you will also be installing ‘rJava’ and ‘DBI’ (which load automatically). Once you install these packages, you should see them in the User Library. If they are unchecked, please check them, and they will be enabled in the environment.

    Next, we will need to upload the appropriate DB2 for z/OS data server driver .jar files to the DSX environment. The files we will need are: db2jcc.jar and db2jcc_license_cisuz.jar

    If you already have a licensed version of DB2 Connect installed, these driver files are already available on one of your existing client environment setups. Ask your DB2 system administrator for the location of these files in your client environment.

    This guide is based on DB2Connect Version 11.1 for Linux, Unix and Windows (client) and DB2 for z/OS Unlimited Edition (server). If you are not currently licensed for DB2Connect, see the Appendix at the end of this guide for instructions on how to obtain the correct data server drivers and license files that are required.

    From the RStudio desktop (shown above), go to the lower right panel again, to the “Files” section. Then, click “Upload” and you will get a dialog box that allows you to browse your local file system to upload the driver files. For both db2jcc.jar and db2jcc_license_cisuz.jar, upload these to the current directory of your DSX/RStudio environment.

    Connecting to the z Server over TCPIP — Secure Gateway

    With the JDBC driver files in place, we now need to configure access to the server which is running the DB2 for z/OS instance. The assumption for most IBM customers is that their target z server is running on a secure internal network, which is accessed externally through a VPN or from an internal private network access point. If this is the case, you will also need to set up a Bluemix Secure Gateway, that will allow the Bluemix/DSX cloud app to access your z server through a firewall, using the same VPN/internal network acces point that you use for other client connections from a desktop.

    For more general information on Bluemix Secure Gateways, please go to:

    If you do not need to configure a Secure Gateway, you can skip to the “Connecting to DB2/zOS with JDBC” section.

    To configure the secure gateway, please go to, log in to Bluemix with the same credentials you are using for DSX, and then use the drop-down menu on the left to go to the ‘Services’ and then ‘Dashboard’ menu.

    Once within the Services dashboard, click the “Create Service +” button.

    Next, we will go to “Integrate” and then choose the “Secure Gateway” service from the menu.

    Leave the service “Unbound” and click “Create”.

    And, then “+ Add Gateway’

    Choose a name for your gateway, uncheck both of the boxes listed, and then click “Add Gateway”.

    Now, we can setup the destination details, and the client. Click on the gateway.

    Then click on “+ Add Destination”.

    Choose “On-Premises” and click Next.

    On the next screen add your host name/IP , and the DB Port of your DB2z Subsystem. Click ‘Next’

    Then, select TCP protocol on the next screen, and click “Next” again.

    The next screen setting is related to server side authentication. If you typically connect with just a user and password, then choose “None”. If you are not sure whether or not your server requires additional authentication, ask your System Administrator, and you can change this later. Click ‘Next’.

    You can skip over the next setting, unless you want to privatize the IP address and port or your connection. Click ‘Next’.

    To complete the destination settings for the back-end server, we just need to give a name for our connection. Choose a name for your destination that describes the DB2 Subsystem you are connecting to, and then click “Finish”.

    Now let’s install the client for our secure gateway. Choose “+ Add Clients”

    Choose your preferred method of hosting the gateway client. For this demonstration, we will be using IBM Installer — Mac OSX version on a laptop that has a VPN connection to access an on-prem z server. The details for different OS installs and Using Docker or IBM DataPower are covered in detail in the online instructions. For specific install details, See the “Bluemix Documentation” link.

    At this time, copy the Gateway ID, for input later into the gateway client command-line interface.

    After Downloading the client, double-clicking the image, you might have to go to your ‘Finder’ to see the mount point for the image.

    Click on the mount-point and then drag the ‘ibm’ folder into the Applications Folder.

    Now, we can go into the ‘IBM’ folder within Applicatons, and double-click to run the segw.command to open the CLI for the gateway.

    Enter the gateway ID you copied earlier, and then enter ‘none’ for the security token.

    Next, note the web address of the gateway interface — localhost:9003/dashboard  Enter that web address in your web browser.

    Below, we see the gateway web UI. You can see all the details of your secure gateway from this interface. There is one more setting, for the access control list. Please click “Access Control List”, and then enter your destination hostname/IP and port once again.

    Below, once you have added the host/IP and port, you can close the browser window, or minimize it.

    We are almost done. The Secure Gateway config is complete.

    Now we will return to the main Secure Gateway dashboard to copy the cloud hostname/port for the gateway. It will be used for the JDBC connection string in DSX/RStudio. From the Services Dashboard, click on the gateway you created.

    On this screen, click on the ‘settings gear’ of the destination server connection details. A dialog box will open.

    Copy the ‘Cloud Host : Port’ address to use in your JDBC connection in DSX/RStudio.

    Return to the RStudio desktop, and we can setup the JDBC driver and run a query.

    Connecting to DB2/zOS with JDBC

    In the RStudio desktop, we are now ready to enter the JDBC commands at the console prompt to setup the connection to our DB2 for z/OS database. Make sure the RJDBC, DBI, and rJava packages have loaded.

    Also, at this time, make sure you are running any VPN connection that is normally required to access your backend system from a desktop client.

    Enter the following commands in the RStudio console, noting the results you get for the classpath display:

    .jinit()  .jclassPath()  .jaddClassPath("/home/rstudio/db2jcc_license_cisuz.jar") .jclassPath() drv <- JDBC("","/home <br> /rstudio/db2jcc.jar") .jclassPath()

    (* note the addition of the license file….its position in the classpath is important *)

    Datical extends database automation tools to IBM Db2 on mainframes | real questions and Pass4sure dumps

    Seeking to narrow the time gap between DevOps applications and the database management systems that drive them, Datical Inc. is expanding its database automation tools  to support the IBM Corp. Db2 platform on the z/OS operating systems.

    The company already supports Oracle Corp.’s namesake DBMS as well as IBM Db2 for Linux, Unix and Windows; Microsoft Corp.’s SQL Server; and EnterpriseDB Corp.’s Postgres DBMS.

    Datical’s platform provides a database change management system that can be integrated with the automation tools that DevOps teams already use. “DevOps and agile techniques have led to more frequent deployments but also more frequent database changes,” said Pete Pickerill, vice president of product strategy at Datical. “This is about providing the same level of automation for the database that exists for the application.”

    Introduced in 1983, Db2 is the world’s sixth most popular database, according to DB-Engines. More importantly, it’s the relational engine of choice at many large enterprises, particularly the version that runs on the z/OS mainframe platform.

    Datical’s product manages application database changes alongside application code and keeps everything – including code, people and processes – in synch as new releases move from development to production. “We can do a lot of automated validation, such as enforcing naming standards, coding standards, functions and procedures,” Pickerill said. “All of that validation happens at initial build time instead of waiting for a database administrator to approve it. We’re applying automation to the validation process so DBAs spend much less time reviewing scripts and don’t have to examine every line of SQL.”

    The company provides a library of standard rules but also enables developers to build their own. Turnkey integration is available with automation tools from IBM, CA Technologies Inc. and the Open Source Jenkins toolset. There’s also a command line interface developers can use to integrate with other automation tools.

    The company claims it can reduce downtime related to database errors by between 80 and 90 percent. “It’s about discovering the bad programming practices or changes earlier when they’re easier to address,” Pickerill said. The Datical platform is licensed on a logical partition basis. Pricing wasn’t disclosed.

    Image: Datical Since you’re here … … We’d like to tell you about our mission and how you can help us fulfill it. SiliconANGLE Media Inc.’s business model is based on the intrinsic value of the content, not advertising. Unlike many online publications, we don’t have a paywall or run banner advertising, because we want to keep our journalism open, without influence or the need to chase traffic.

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    IBM Reconstitutes DB2 as Hybrid Cloud Database | real questions and Pass4sure dumps

    Oct 31, 2016

    IBM has introduced updates to its DB2 database management system, intended to help lower operating costs while bringing together transactions and analytics in the same database to increase the speed of real-time data analysis.

    The new DB2 will incorporate hybrid transactional analytical processing (HTAP) and be available for Linux, Unix, Windows, and z/OS in December.

    IBM DB2 BLU Acceleration for Linux, Unix, and Windows will incorporate features of HTAP in December, the company said. IBM DB2 12 for z/OS extends the benefits of HTAP with in-memory capabilities to deliver improvements in real-time analytic processing by up to 100 times over DB2 11 for z/OS.

    IBM is also introducing the DB2 Analytics Accelerator for Cloud, providing enterprise customers even more flexibility to accelerate insights gained from their DB2 environments leveraging the IBM Cloud.

    DB2 12 for z/OS was built for the growth of cloud and mobile, supporting hundreds of thousands of transactions per second across mobile applications with no impact on operational performance.

    More information is available at the IBM website.

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