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C2090-612 DB2 10 DBA for z/OS

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IBM DB2 10 DBA for

Senior Database Administrator (DBA) with IBM DB2 expertise revenue | killexams.com Real Questions and Pass4sure dumps

The average pay for a Senior Database Administrator (DBA) with IBM DB2 advantage is $63.88 per hour.

The common pay for a Senior Database Administrator (DBA) with IBM DB2 competencies is $107,461 per year.

profits $82,345 - $134,126 Bonus $2,909 - $17,102 earnings Sharing $3,020 - $sixteen,886 complete Pay (? XTotal Pay combines base annual revenue or hourly wage, bonuses, income sharing, counsel, commissions, time beyond regulation pay and other kinds of money profits, as relevant for this job. It doesn't encompass equity (inventory) compensation, cash cost of retirement benefits, or the cost of other non-money benefits (e.g. healthcare). ) $eighty four,669 - $a hundred and forty,876 Hourly rate $sixty three.88 additional time $forty four.forty nine Bonus $2,909 - $17,102 profit Sharing $3,020 - $16,886 total Pay (? XTotal Pay combines base annual revenue or hourly wage, bonuses, profit sharing, advice, commissions, extra time pay and different types of cash salary, as relevant for this job. It doesn't encompass fairness (inventory) compensation, money value of retirement benefits, or the value of alternative non-cash merits (e.g. healthcare). ) $eighty four,669 - $one hundred forty,876 Job Description for Senior Database Administrator (DBA)

Senior database directors work as crew leaders with desktop engineering groups so as to create database structure to achieve the integral goals of specialized desktop software. Senior database directors have very clear educational goals: they need a bachelor's diploma in computing device science or in an identical fields. they'll also need certification for database administration from an permitted board, similar to Oracle. it is possible to forgo buying a bachelor's diploma, however senior database directors will require a couple of years of work in similar areas in addition to huge self-education on database administration.

study more...

Senior database administrators should know a number of programming languages with a view to accomplish their desires. they're going to also want effective communication competencies with a purpose to delegate work goals and facilitate the advent and implementation of databases.

Senior database directors oversee the upkeep, configuration, and implementation of every little thing that has to do with databases. This contains the replication, backup, storage, access and partitioning of databases. easy and efficient installations, configurations, troubleshooting, and upkeep of database programs additionally fall onto the senior database administrator. when they are not installation or conserving new database methods, senior database administrators need to computer screen and optimize their current techniques to be sure first-class device performance. They try this by employing index tuning, disk optimization, and a number of other strategies that are acceptable. inside the confines of the database, senior database administrators have to also examine who may still have what permissions and privileges in the device to define who can entry and handle what suggestions. (Copyright 2019 PayScale.com)

Senior Database Administrator (DBA) projects

  • Design, architect, and construct databases from selecting company necessities.
  • Write and troubleshoot complex kept techniques.
  • increase innovation, recommendations, strategies, and surest practices.
  • manage and mentor small team of DBAs.
  • Work carefully with programming personnel on database design changes to meet company requirements.
  • Pay by means of adventure level for Senior Database Administrator (DBA)

    Pay by using journey for a Senior Database Administrator (DBA) has a good trend. An entry-degree Senior Database Administrator (DBA) with less than 5 years of journey can predict to earn an average complete compensation of $89,000 in line with eleven salaries supplied by anonymous clients. commonplace complete compensation includes suggestions, bonus, and time beyond regulation pay. A Senior Database Administrator (DBA) with mid-career experience which contains employees with 5 to 10 years of event can are expecting to earn a regular complete compensation of $112,000 in response to 30 salaries. An experienced Senior Database Administrator (DBA) which includes personnel with 10 to 20 years of experience can expect to earn a normal complete compensation of $one hundred fifteen,000 based on 67 salaries. A Senior Database Administrator (DBA) with late-profession journey which comprises employees with better than 20 years of event can expect to earn a normal total compensation of $117,000 according to 29 salaries.


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

    In September 2018, IBM announced a brand new product, IBM Db2 AI for z/OS. This synthetic intelligence engine monitors statistics entry patterns from executing SQL statements, uses machine studying algorithms to choose optimal patterns and passes this tips to the Db2 query optimizer for use by using subsequent statements.

    desktop getting to know on the IBM z Platform

    In might also of 2018, IBM announced version 1.2 of its laptop learning for z/OS (MLz) product. here is a hybrid zServer and cloud application suite that ingests efficiency statistics, analyzes and builds fashions that signify the fitness popularity of a variety of symptoms, monitors them over time and provides real-time scoring capabilities.

    a couple of aspects of this product providing are aimed toward helping a community of mannequin developers and executives. as an instance:

  • It supports dissimilar programming languages comparable to Python, Scala and R. This permits records modelers and scientists to use a language with which they are popular;
  • A graphical user interface referred to as the visual mannequin Builder guides mannequin builders devoid of requiring tremendously-technical programming competencies;
  • It contains varied dashboards for monitoring model results and scoring capabilities, as well as controlling the equipment configuration.
  • This laptop gaining knowledge of suite became in the beginning aimed at zServer-primarily based analytics purposes. one of the most first glaring choices became zSystem performance monitoring and tuning. gadget administration Facility (SMF) statistics which are immediately generated via the working system provide the raw facts for gadget resource consumption such as imperative processor utilization, I/O processing, memory paging and the like. IBM MLz can collect and save these information over time, and construct and train models of system conduct, rating those behaviors, identify patterns now not readily foreseen by using humans, improve key efficiency indicators (KPIs) and then feed the mannequin results again into the gadget to affect gadget configuration changes that can improve efficiency.

    The subsequent step became to implement this suite to analyze Db2 efficiency statistics. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) answer template, applies the computer learning technology to Db2 operational information to gain an realizing of Db2 subsystem fitness. it may possibly dynamically build baselines for key performance warning signs, give a dashboard of those KPIs and give operational personnel true-time perception into Db2 operations.

    while regularly occurring Db2 subsystem performance is a crucial factor in universal software fitness and performance, IBM estimates that the DBA guide team of workers spends 25% or extra of its time, " ... combating entry course complications which trigger performance degradation and repair impact.". (See Reference 1).

    AI involves Db2

    believe the plight of up to date DBAs in a Db2 environment. In modern IT world they must support one or greater huge data functions, cloud utility and database services, utility installation and configuration, Db2 subsystem and software efficiency tuning, database definition and management, catastrophe restoration planning, and extra. query tuning has been in existence seeing that the origins of the database, and DBAs are constantly tasked with this as well.

    The coronary heart of query direction analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to entry the facts, reviews the locations of the objects to be accessed and develops a list of candidate facts entry paths. These entry paths can encompass indexes, table scans, a lot of table be part of methods and others. within the statistics warehouse and large statistics environments there are usually additional choices obtainable. One of these is the existence of summary tables (sometimes called materialized query tables) that comprise pre-summarized or aggregated statistics, as a result allowing Db2 to avoid re-aggregation processing. an additional choice is the starjoin entry course, normal within the facts warehouse, the place the order of table joins is modified for efficiency motives.

    The Optimizer then studies the candidate entry paths and chooses the entry route, "with the lowest charge." can charge in this context capability a weighted summation of resource utilization including CPU, I/O, memory and other supplies. finally, the Optimizer takes the bottom can charge entry direction, shops it in memory (and, optionally, in the Db2 listing) and starts access direction execution.

    large records and data warehouse operations now include application suites that enable the business analyst to use a graphical interface to construct and manipulate a miniature statistics mannequin of the information they want to analyze. The applications then generate SQL statements according to the users’ requests.

    The issue for the DBA

    with a purpose to do decent analytics on your distinctive information outlets you want a fine understanding of the data necessities, an knowing of the analytical features and algorithms accessible and a excessive-efficiency information infrastructure. unluckily, the quantity and placement of statistics sources is expanding (each in measurement and in geography), facts sizes are growing to be, and applications continue to proliferate in number and complexity. How may still IT managers help this atmosphere, principally with essentially the most skilled and mature body of workers nearing retirement?

    remember also that a large part of reducing the whole can charge of ownership of those techniques is to get Db2 applications to run sooner and greater efficaciously. This continually translates into the usage of fewer CPU cycles, doing fewer I/Os and transporting much less statistics across the network. for the reason that it is commonly difficult to even identify which applications may advantage from efficiency tuning, one method is to automate the detection and correction of tuning issues. here's the place computer learning and synthetic intelligence can be used to splendid effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 version 12 on z/OS uses the computer discovering facilities outlined above to gather and keep SQL query text and entry course particulars, in addition to specific performance-related historical suggestions similar to CPU time used, elapsed times and outcome set sizes. This providing, described as Db2 AI for z/OS, analyzes and shops the information in laptop studying models, with the model analysis consequences 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 access route option algorithm.

    The effect should still be a reduction in CPU consumption because the Optimizer makes use of model scoring input to opt for superior access paths. This then lowers CPU expenses and speeds utility response instances. a significant skills is that the use of AI application doesn't require the DBA to have information science competencies or deep insights into query tuning methodologies. The Optimizer now chooses the superior entry paths primarily based now not best on SQL question syntax and records distribution facts however on modelled and scored historic efficiency.

    This can be especially essential if you save records in dissimilar places. for example, many analytical queries towards big information require concurrent entry to definite facts warehouse tables. These tables are commonly called dimension tables, and they comprise the information aspects usually used to manage subsetting and aggregation. as an example, in a retail environment believe a desk referred to as StoreLocation that enumerates each keep and its location code. Queries towards keep sales statistics may additionally want to combination or summarize earnings with the aid of area; therefore, the StoreLocation desk can be used through some large data queries. during this environment it's regular to take the dimension tables and replica them regularly to the big statistics utility. in the IBM world this place is the IBM Db2 Analytics Accelerator (IDAA).

    Now feel about SQL queries from both operational purposes, information warehouse users and massive facts business analysts. From Db2's point of view, all these queries are equal, and are forwarded to the Optimizer. although, in the case of operational queries and warehouse queries they should most likely be directed to entry the StoreLocation desk in the warehouse. even so, the question from the enterprise analyst against huge facts tables should probably access the copy of the table there. This consequences in a proliferations of talents entry paths, and greater work for the Optimizer. fortuitously, Db2 AI for z/OS can provide the Optimizer the counsel it should make smart entry path selections.

    how it Works

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

  • right through a bind, rebind, put together or clarify operation, an SQL commentary is passed to the Optimizer;
  • The Optimizer chooses the facts access path; as the choice is made, Db2 AI captures the SQL syntax, entry path alternative and question performance facts (CPU used, and so on.) and passes it to a "learning task";
  • The gaining knowledge of task, which may also be completed on a zIIP processor (a non-popular-aim CPU core that does not factor into application licensing costs), interfaces with the computing device gaining knowledge of software (MLz mannequin functions) to store this tips in a model;
  • as the amount of records in each mannequin grows, the MLz Scoring carrier (which also can be accomplished on a zIIP processor) analyzes the model records and rankings the conduct;
  • throughout the subsequent bind, rebind, put together or clarify, the Optimizer now has entry to the scoring for SQL models, and makes appropriate changes to entry route choices.
  • There are additionally a variety of consumer interfaces that give the administrator visibility to the popularity of the accumulated SQL commentary efficiency information and model scoring.

    summary

    IBM's desktop discovering for zOS (MLz) offering is being used to superb effect in Db2 edition 12 to enhance the efficiency of analytical queries as well as operational queries and their associated purposes. This requires administration consideration, as you should examine that your business is prepared to devour these ML and AI conclusions. How will you measure the charges and advantages of the use of computer learning? Which IT support group of workers should be tasked to reviewing the influence of model scoring, and maybe approving (or overriding) the consequences? How will you assessment and justify the assumptions that the utility makes about entry course choices?

    In other phrases, how neatly do you know your statistics, its distribution, its integrity and your latest and proposed access paths? this may examine the place the DBAs spend their time in helping analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 distinct EngineerFrom "IBM Db2 AI for z/OS: enhance IBM Db2 application performance with desktop researching"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-boost-ibm-db2-utility-efficiency-with-ma

    Reference 2

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

    See all articles by Lockwood Lyon


    The records Layer: IBM’s Db2 in a Multi-Cloud World | killexams.com Real Questions and Pass4sure dumps

    in the age of desktop studying and AI in the cloud, each person desires to do greater with their facts. With over 70% of organizations using three or more clouds, it's essential to remember the implications of where your information is kept and the way it's managed. Leveraging a common database engine -- throughout clouds -- permits you to focus your efforts on your applications and never on idiosyncrasies of particular person cloud databases.

    join us for a are living webinar, The statistics Layer: IBM’s Db2 in a Multi-Cloud World, where IBM application architect Bowen Turetzky will talk about:

  • What multi-cloud ability to your facts; multi-cloud with the aid of design vs multi-cloud by accident; and what a multi-cloud statistics layer looks like
  • The four key benefits of deciding upon IBM’s Db2 managed features for a multi-cloud information layer answer
  • a way to leverage a common statistics layer throughout cloud providers with general equipment
  • Register for this exclusive webinar these days!

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    Infotel Announces Artificial Intelligence Software Release in U.S. to Automate Db2 Maintenance Tasks | killexams.com real questions and Pass4sure dumps

    TAMPA, Fla., April 4, 2019 /PRNewswire-PRWeb/ -- Infotel, a leading global software vendor of data performance and optimization solutions for z/OS, today announced its newly upgraded iDBA-Online product is now generally available in the United States. iDBA-Online uses Artificial Intelligence to help automatically manage the most efficient maintenance schedule for IBM Db2. This new release brings more automation to Db2 maintenance, freeing up DBA resources for increased production. Additionally, through optimization of Db2 maintenance schedules, customers are seeing reductions of 5-10 percent CPU utilization from improved administration of these tasks.

    "The sheer amount of data and the maintenance needed for optimization make Db2 a volatile and ever-changing environment," said Carlos Almeida business analyst at Tampa, Florida-based Infotel Corp. "A maintenance strategy that was set at the beginning of the month may not be viable after just a few days. This solution was designed to leverage AI and task automation to alleviate the chaos of maintenance for DBAs."

    Db2 maintenance is essential for performance, recoverability, and optimized system resources. But every maintenance operation has a cost in terms of CPU and I/O and often these essential duties take too much of a DBA's time, eating away at his/her bandwidth to be performing more productive and innovative tasks.

    Infotel's latest U.S. product offering addresses this critical budgetary dilemma for companies on IBM z/OS with Db2 and takes the guesswork out of maintenance duties by using Artificial Intelligence to automatically schedule maintenance in the most efficient way possible. iDBA runs in the background and consumes minimal resources while constantly receiving Db2 log data to analyze the most cost-effective way to schedule backups, reorgs and other Db2 maintenance tasks. The solution uses proprietary algorithms to combine SLAs, cost benefit analysis data, and business constraints set forth by clients to establish in real time, the optimum maintenance schedule. Maintenance schedules are dynamically updated and automatically executed to ensure compliance with SLAs and certify that every single operation has a positive ROI for the overall Db2 cost category.

    Being able to dynamically evaluate the impact of Db2 maintenance with the ability to change schedules is essential for streamlining maintenance operations that maximize Db2 application performance and reduce z/OS operational costs. Intelligent automation allows the system to take over Db2 maintenance scheduling so DBAs can spend less time on manual analysis and scheduling allowing them to focus on more strategic, innovative ways to solve more pressing data problems.

    Automation is a key component of all products from Infotel which was founded in 1979 and was first to market with a web-to-database product that played a key role in the development of e-commerce as it is known today. Infotel has also built a wealth of automation into its other mainframe optimization product DB/IQ, which automates SQL code quality assurance, and was also recently launched in the U.S.

    To read more about iDBA-online and other automated mainframe software products visit infotel.com/us/mainframe-software or contact us directly at software@infotel.com.

    About Infotel

    Infotel Corp., based in Tampa, Florida, is a software vendor and IT consulting firm specializing in data performance and optimization solutions for the Mainframe z/OS platform. For more than 40 years, Infotel has delivered proven solutions to help clients improve their data management systems. For more information on Infotel Corp., please visit https://www.infotel.com/us/.

     

    SOURCE Infotel Corp


    Four Strategies That Every DB2 z/OS DBA (or any DBA) Should Know | killexams.com real questions and Pass4sure dumps

    Here are the "best of the best" strategies that define a successful and competent database administrator (DBA). While I present these in the context of DB2 on z/OS, I strongly believe that they are applicable across all hardware platforms and database management systems.

    Standardize Database Recovery Processes

    Ensure data recoverability. If there's one thing to get right, this is it. While other things (such as performance or security) may seem more urgent, ensuring data recoverability is the database administrator's most important responsibility. (For more on this, see DB2 on z/OS Recovery -- Get it Right).

    Consider how the DBA begins implementing a database to support a critical production application. If a disaster occurs, will the data be available in the agreed-upon Recovery Time Objective (RTO)? If not, in the case of medical and financial data, this may breach contracts with vendors or violate audit guidelines. Data recoverability is another major consideration in some legislation. Here are some that affect financial institutions:

  • Expedited Funds Availability (EFA) Act, 1989 requires federally chartered financial institutions to have a demonstrable business continuity plan to ensure prompt availability of funds.
  • Federal Financial Institutions Examination Council (FFIEC) Handbook 2003-2004 (Chapter 10) specifies that directors and managers are accountable for organization-wide contingency planning and for "timely resumption of operations in the event of a disaster."
  • Basel II, Basel Committee on Banking Supervision, Sound Practices for Management and Supervision, 2003 requires that banks establish business continuity and disaster recovery plans to ensure continuous operation and limit losses.
  • Most IT shops use regularly scheduled standard backup procedures (e.g., DB2 image copies), but few have actually tested the recovery time of these objects and analyzed whether their backup procedures are sufficient (or necessary) for their recovery requirements.

    You should ensure you have all of the following:

  • A regularly scheduled process for determining (and documenting) the recovery status of all production objects
  • Regular measurements of required recovery times for objects belonging to critical applications
  • Development of alternative methods of backup and recovery for special situations (such as image copy of indexes, data replication to recovery site, and DASD mirroring)
  • Regular development, improvement and review of data recoverability metrics
  • Implement Appropriate Automation

    Automate reactive or simple reporting processes, freeing the DBA for higher-level work. Your first reaction might be, "Wait! I'll automate myself out of a job!" Far from it. Implementing automation makes the DBA more valuable. IT management wants its knowledge workers doing tasks that add value. These might include detailed systems performance tuning, quality control, cost/benefit reviews of potential new applications and projects, and more. Management understands that a DBA spending time on trivial tasks represents a net loss of productivity.

    The advantage of automation isn't merely speed; automating tasks helps move the DBA away from reactive tasks such as reporting and analysis toward more proactive functions.

    Here's a typical list of processes many DBAs still manually perform:

  • Executing an EXPLAIN process for SQL access path analysis
  • Generating performance reports such as System Management Facility (SMF) accounting and statistics reports
  • Verifying that new tables have columns with names and attributes that follow standard conventions and are compatible with the enterprise data model and data dictionary
  • Verifying that access to production data is properly controlled through the correct authority GRANTs
  • Monitoring application thread activity for deadlocks and timeouts
  • Reviewing console logs and DB2 address space logs for error messages or potential issues.
  • Each of these tasks can be replaced by an automated reporting or a data gathering process of some kind. With such processes in place, DBAs now can schedule data gathering and report generation for later analysis, or guide requestors to the appropriate screens, reports or jobs. This removes the DBA from the reactive rut and generates time for proactive tasks such as projects, architecture, planning, systems tuning, and more.

    Along with choosing specific tasks to automate, you'll probably need to learn one or more automation tools or languages. REXX is an example of a popular language for online or batch access to DB2 data. There are many examples and ideas for automated processes in articles, presentations, and white papers.

    Implement DBMS Autonomics

    Implement DBMS-based processes so the system is self-healing and self-tuning. As their IT organizations have matured, they became smarter about their problems. They began to collect problem logs, and analyzed them looking for trends and patterns. They recognized frequent problems and devised strategies for automatically dealing with them or preventing them.

    We've now reached the next logical step in this progression: engineering processes and process control to make systems and applications self-aware and self-healing. This is called autonomics. Autonomics, ranging from simple scripts to complicated processes, can be applied to applications, systems, or support software. For many DBAs, the idea of a self-healing database inspires visions of the database redesigning itself. What exactly would a self-healing database heal? One DB2 z/OS example that comes to mind is real-time statistics. DB2 dynamically generates these data distribution statistics. An example of their use is during execution of the Reorg utility, where real-time statistics may be queried and the results used to decide whether or not to execute the Reorg.

    These and other examples of DB2 autonomics make it possible to "program in" a manner of self-tuning (or at least self-management) into the DBA's support infrastructure. Review the literature and IBM documentation for possible implementation of autonomic processes.

    Understand Management Needs

    Give your management the data they need to measure your productivity and prioritize the team's work. IT infrastructure management can be subjective, considering the lack of good productivity or quality measures. Faced with distributing and prioritizing work across a database support team, management usually creates or extends a spreadsheet or project plan to include task categories and team assignments.

    In seeking to increase productivity, management needs an important piece of information: the variability of the DBA's work. This usually translates to whether the tasks that need to be done have a fixed amount of effort and can be pre-scheduled or consist of a variable amount of work that unpredictably arrives. In other words, are the DBAs being reactive, active, or proactive?

    Some work tends to have a fixed or well-known duration and can usually be easily assigned and scheduled. Other work tends to arrive at random, uncontrolled times; there may be no way to estimate the amount of effort required.

    The DBA's manager assigns the fixed work (usually projects, meetings, etc.) to DBA resources at a level that allows sufficient additional available hours for important variable work, such as production issues and emergencies. In more mature environments, this may be implemented as a Gantt chart showing the next several months of resource consumption. This can be extremely valuable for estimating the availability of DBA resources for future projects, or for pre-planning some discretionary time that may be required.

    This method of managing task and resource allocation dovetails nicely with the DBA efforts discussed earlier to implement automation and autonomics and define standard processes that can be easily outsourced. DBAs will work to convert variable, non-standard work into fixed, scheduled work, moving away from reactive tasks. Management will see fewer variable tasks and more fixed tasks, and more easily be able to assign DBA resources.

    Summary

    While there are other tactical choices that may define a DBA's daily life, the strategies mentioned here are the crucial ones: they support all aspects of the enterprise's data; they support the idea of off-loading simple and repetitive work to the machine, freeing the DBA for more skill-based tasks; and they build on industry best practices such as recoverability, reliability and data availability.

    Review the list and ask: Do they have these standard processes in place? Are they well-documented? Is the documentation centrally located and easily accessible? Have they done enough in each area that adds real value to their organization? The answers to these questions will assist you in determining where your time is best spent.

    See all articles by Lockwood Lyon


    How to make your DBA love you – no, really | killexams.com real questions and Pass4sure dumps

    DB2 DBAs and application programmers are the antithesis of a match made in heaven. But they do have to love each other – if only for the fact that they cannot live without each other. Applications have very little business use without a smooth running database and vice versa.

    Rocky road?

    So why is this relationship always so delicate? They all know the answer. While DBA’s spend their lives making sure their database is protected, always available and performs like a smoothly running Formula 1 car, to them it can feel that application programmers are doing everything to make sure all the sensors and gauges display “critical status” all the time. Conversely, developers are tasked to fuel the creation of new sleek applications faster than ever before, and they often feel that DBAs are doing everything to slow them down.

    I’ve often heard statements like, “Our database would be in excellent shape if it wasn’t for these programmers writing inefficient code,” or, “My application would perform a lot better if these DBA’s would allow me to do what I think is best.” While both groups may have a point, discussions like these rarely lead to anything beneficial for either party.

    An olive branch?

    So what if I told you that the latest DB2 releases offer numerous possibilities for programmers not only makes their lives easier but also does the same for DBAs? On the flip side, what if DBAs could actually demonstrate to development teams that some new features in DB2 can actually help them to develop and test new applications much faster?

    Learn from an IBM DB2 champ

    On December 10 at 11:30 a.m. ET CA Technologies senior engineering services architect and DB2 champion Steen Rasmussen will explain how some of these features work and how DBAs and application programmers can benefit from using things like new DB2 Object Types, new BIND parameters, Access Path changes and more.

    I attended one of Rasmussen’s sessions at the EMEA IDUG conference in Dublin last week and all I can say is that he does a fantastic job explaining some of the most complex material in a way that everybody understands: all in an effort to help DBAs and application developers to work in unison.

    Please join me for a session from one of the worlds leading DB2 experts. Register for, “Community Webcast: Application Development Goodies in DB2 10 and 11 – Make your Favorite DBA Love You.”

    Got any stories to share about the relationship between DBAs and app devs? We’d like to hear them so leave a comment below.



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