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000-856 - Iseries linux technical solutions v5r. - Dump Information

Vendor : IBM
Exam Code : 000-856
Exam Name : Iseries linux technical solutions v5r.
Questions and Answers : 82 Q & A
Updated On : April 18, 2019
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000-856 Questions and Answers

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000-856 Iseries linux technical solutions v5r.

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000-856 exam Dumps Source : Iseries linux technical solutions v5r.

Test Code : 000-856
Test Name : Iseries linux technical solutions v5r.
Vendor Name : IBM
Q&A : 82 Real Questions

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IBM Iseries linux technical solutions

world enterprise Servers Market measurement, developments, probability till 2022 | killexams.com Real Questions and Pass4sure dumps

Apr 18, 2019 (AmericanNewsHour by the use of COMTEX) -- A server is a computer software that provides a provider to another computing device software and its person i.e., it accepts and responds to requests made through another program, called a consumer. In a crude approach, we can call any device that runs server application a server. The main use of servers is to control community components. Servers can work on single computer systems or on an inter-linked network of computer systems. commercial enterprise Servers are desktop servers having classes required to mutually serve the needs and necessities of no longer just someone person but a complete enterprise. solar Microsystems’ servers with Linux or UNIX-based mostly Solaris systems, IBM iSeries systems and Hewlett-Packard (HP) programs are a couple of examples of enterprise servers.

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Market DynamicsThe components driving the growth of the enterprise servers market are the expanding demand for x86 servers, becoming use of analytics and large records processing utility throughout industries, growth in cloud computing solutions and functions market and rising demand for big information analytics. The components performing as a constraint to the growth of the commercial enterprise servers market are the excessive level of technical talents required for the installing and upkeep of business servers, huge setting up expenses and high preliminary funding required.

Market SegmentationThe world business Servers Market has been segmented into 5 types on the groundwork of operating gadget, chip classification, working equipment bits, verticals and geography.

Segmentation by means of operating device

LINUX OSWindows OSUNIX OSSegmentation through Chip TypeReduced instruction Set Computing (RISC)complex guide Set Computing (CISC)Segmentation by using working system bits64-bit business Servers32-bit enterprise Servers64-bit commercial enterprise servers are the most important revenue mills during this section.Segmentation through VerticalsManufacturing IndustryBankingFinancial ServicesInsurance SectorRetail SectorMedia and EntertainmentTelecom and ITHealthcare IndustrySegmentation by way of RegionNorth AmericaEuropeAsia PacificMiddle East and AfricaSouth the united states

North the usa contributes probably the most revenue in this segment adopted closely via Europe. North america and Europe are also expected to cleared the path even when it involves increase fee.

Regional/ Geographic AnalysisNorth the united states and Europe are natural powerhouses within the world commercial enterprise servers market and command a major share of the world revenues. increase throughout the globe is expected to be flat as organizations battle to decide whether to install workloads on premises or off. Asia Pacific has excessive future increase potential as adoption of business servers is fast increasing during this vicinity.

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Key PlayersThe Key players within the world enterprise servers market are Hewlett-Packard, Dell Inc., overseas company Machines supplier, Cisco programs, Inc., Lenovo, Oracle organisation, ODM Direct, sun Microsystems, Inc., NEC organisation, Unisys organization, Fujitsu Ltd., Hitachi, Ltd., Toshiba employer, and tremendous Micro computing device Inc.

report Contents Regional evaluation document HighlightsMarket segmentsMarket Drivers, Restraints and OpportunitiesMarket size & Forecast 2016 to 2022Supply & Demand price ChainMarket – current TrendsCompetition & predominant CompaniesTechnology and R&D StatusPorters 5 drive AnalysisStrategic and demanding Success factor analysis of Key PlayersNorth AmericaUS and CanadaLatin AmericaMexico, Brazil, Argentina and rest of Latin AmericaWestern EuropeEU5 (Germany, France, Italy, Spain, U.okay.)Nordic countries (Denmark, Finland, Norway, and Sweden)Benelux (Belgium, The Netherlands, and Luxembourg)rest of Western EuropeEastern EuropeRussiaPolandRest of jap EuropeAsia PacificChinaIndiaJapanAustralia and New ZealandRest of Asia PacificMiddle East and AfricaGCC countries (Saudi Arabia, Oman, Qatar, Bahrain, UAE and Kuwait)South AfricaNorth AfricaRest of middle East and Africa

This report is an complicated aggregation of simple inputs from trade experts and participants throughout the deliver chain. It offers particulars on market segmentation which is derived from a number of product mapping workouts, macroeconomic parameters and other qualitative and quantitative insights. The impact of all such components is delivered throughout dissimilar market segments and geographies.

exact historic Overview (Market Origins, Product Launch Timeline, and so on.)client and Pricing AnalysisMarket dynamics of the industryMarket SegmentationEstimated Market Sizing when it comes to volume and valueRecent developments in Market and impactResearch status and expertise OverviewExtensive trade constitution insurance

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IBM Q1 earnings Surpass Estimates, Revenues pass over, Down Y/Y | killexams.com Real Questions and Pass4sure dumps

international business Machines Corp IBM delivered first-quarter 2019 non-GAAP income of $four.87 per share, which surpassed the Zacks Consensus Estimate of $2.21. besides the fact that children, earnings per share (EPS) diminished 8.2% from the yr-in the past quarter.

Revenues of $18.18 billion ignored the Zacks Consensus Estimate of $18.fifty two billion and declined 4.7% on a year-over-12 months groundwork. At regular forex (cc), the metric dipped 0.9%. The year-over-12 months income decline can basically be attributed to foreign money fluctuation and headwinds from IBM Z product cycle. additionally, softness in the emerging markets of Asia Pacific affected the right-line performance.

especially, IBM stated that signings declined 14% on cc basis in the first quarter to $7.6 billion. services backlog declined 2% 12 months over yr and totaled $111.6 billion.

In a year’s time, shares of IBM have misplaced 2.5% compared with the trade’s 0.5% decline.

 

Geographic earnings particulars

Revenues from Americas lowered 1% on cc groundwork, reflecting the headwind from the IBM Z product cycle. The identical from Europe, center-East and Africa had been flat year over yr, whereas Asia-Pacific revenues declined 2% on a 12 months-over-year foundation.

Structural adjustments

starting from first-quarter 2019, IBM mixed Cloud company and Cognitive software in one section.  further, the enterprise merged protection features with protection utility.

IBM also integrated all divested enterprise to the other classes with a view to supply enhanced transparency to the software and GBS segments. The divested enterprise comprises pending earnings of seven application products to HCL, the sale of IBM’smarketing platform and commerce utility choices to Centerbridge and the recently concluded sale of Seterus mortgage servicing business.

Cloud & Cognitive software section

The Cloud & Cognitive application section’s revenues-exterior more desirable 2% 12 months over 12 months (on cc basis) to $5 billion. Revenues at Cloud & Cognitive utility (including cloud and records platform, Cognitive application and transaction processing) elevated primarily owing to boom in software driven by safety and options, increase in statistics and analytics as well as artificial intelligence (AI).

Segmental revenues touching on Cloud improved 10%. Cloud as-a-carrier salary annual run price changed into $2.1 billion.

Revenues from cloud and statistics systems extended 2% yr over year.

IBM cited that the integration of AI into choices like client adventure analytics in commerce area and improved adoption of IBM Cloud private, which is constructed on Linux containers and kubernetes. It additionally delivered that analytics performed well within the quarter under evaluation, courtesy of statistics science offerings and IBM Cloud deepest for records offering.

moreover, IBM witnessed growth in trade verticals like fitness, key areas of analytics and safety within the quarter. Watson health witnessed extensive-based mostly growth in Payer, issuer, Imaging and existence Sciences domains.

Revenues from Cognitive applications were up four% year over yr, pushed via protection, health, supply chain and weather. protection growth became backed through offerings in orchestration, facts protection and endpoint administration.

Transaction Processing utility comprises utility that runs mission-critical workloads, leveraging IBM’s hardware structures. Revenues have been flat on a year-over-year groundwork.

Story continues

global company functions phase

Revenues from world enterprise services-external section totaled $four.1 billion, up 4% from the 12 months-in the past quarter. The 12 months-over-12 months boost within the appropriate line turned into basically owing to boom across all three enterprise areas particularly consulting, application administration and world manner services.

Cloud revenues surged 25% yr over year. Cloud as-a-service revenue annual run expense became $1.eight billion.

utility management revenues had been flat yr over 12 months. international manner services revenues climbed 5%. in addition, Consulting revenues multiplied 9% 12 months over 12 months on strong efficiency of IBM’s digital enterprise.

international technology functions segment

Revenues from expertise services-exterior reduced 3% from the yr-in the past quarter to $6.9 billion. Segmental revenues bearing on cloud surged 13% from the yr-in the past quarter. Cloud as-a-provider profits annual run fee turned into $7.5 billion.

Infrastructure & Cloud functions’ revenues lowered 3% from the yr-in the past quarter. additionally, Technical support functions revenues declined 2% from the yr-ago quarter.

programs Revenues

systems revenues reduced 9% on a yr-over-yr basis to $1.3 billion, basically as a result of the affect of the IBM Z product cycle and stiff competition. Segmental revenues referring to Cloud revenues declined 15%.

IBM Z revenues decreased 38% year over yr.

however, power revenues extended 9% from the year-in the past quarter. The upside can be peculiarly attributed to Linux and powerful adoption throughout the latest POWER9-based architecture.

meanwhile, storage hardware revenues declined on vulnerable performance in each high conclusion and mid-latitude, partly offset by means of potent increase in All Flash Arrays. IBM stated that pricing force in the immensely competitive storage market is hurting revenues.

whereas working systems utility revenues accelerated 5%, techniques Hardware slumped 14% from the year-ago quarter.

finally, global Financing (comprises financing and used device sales) revenues diminished 19% 12 months over 12 months and 9% at cc to $417 million.

operating details

Non-GAAP gross margin expanded 100 basis points (bps) from the 12 months-ago quarter and came in at forty four.7%. The gross margin benefited essentially from one hundred sixty bps growth in functions margin.

working expense (research & development fees and promoting, regularly occurring and administration charges) declined 10.6% 12 months over year on consciousness of acquisition synergies and enhancing operational efficiencies. at present, IBM continues to put money into all of a sudden becoming fields like hybrid cloud, artificial intelligence (AI), protection and blockchain.

Pre-tax margin from continuing operations extended 320 bps on a yr-over-12 months basis to 12.3%.

Non-GAAP working margins from carrying on with operations shriveled ninety bps and came in at 11%.

balance Sheet & money circulation details

IBM ended first-quarter 2019 with $18 billion in complete money and marketable securities compared with $11.9 billion in the outdated quarter. complete debt (including latest element) became $49.9 billion, up from $forty five.eight million from the previous quarter.

IBM said money movement from operations (aside from global Financing receivables) of $four.eight billion and generated free cash move of $1.7 billion in the quarter under evaluation.

furthermore, the enterprise again $2.3 billion to its shareholders via dividends and share repurchases. The company again greater than $10.3 billion to its shareholders via dividends and share repurchases for the full yr.

on the conclusion of the year, the business had $2.four billion ultimate beneath current buyback authorization.

suggestions

For 2019, IBM continues to expect non-GAAP EPS to be at the least $13.ninety. The Zacks Consensus Estimate is presently pegged at $13.ninety.

IBM nevertheless anticipates 2019 free money circulation of $12 billion.

Zacks Rank & stocks to trust

IBM presently carries a Zacks Rank #4 (sell).

Few greater-ranked shares in the broader technology sector are Yelp Inc. YELP, Xilinx, Inc. XLNX and widely wide-spread monitor business enterprise OLED, every wearing a Zacks Rank #1 (powerful purchase). that you can see the comprehensive checklist of these days’s Zacks #1 Rank shares here.

The long-term profits increase fee for Yelp, Xilinx and conventional screen is at the moment pegged at 18.6%, 12% and 30%, respectively.

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IBM Improves IT Operations with synthetic Intelligence | killexams.com Real Questions and Pass4sure dumps

artificial Intelligence in IT these days

Many IT departments have implemented application solutions that go beyond simple transaction and analytical processing. These programs contain fashions that describe definite information behaviors, and these fashions consume present records to see if these patterns of facts habits exist. if so, operational systems can use this assistance to make decisions. an outstanding example of this is fraud detection. IT data engineers use analytics on ancient statistics to verify when fraud happened, code this into a model, and deploy the mannequin as a provider. Then, any operational system can invoke the mannequin, flow it present facts and acquire a mannequin “rating” that represents the likelihood that a transaction may be fraudulent.

The commonplace term for these new applications is synthetic intelligence (AI). They consist of a mix of search, optimization and analytics algorithms, statistical analysis concepts and template approaches for ingesting records, executing these ideas and making the outcomes available as capabilities called fashions. The subset of AI that offers with mannequin introduction and implementation is every so often known as computing device discovering (ML).

laptop studying and artificial Intelligence

IT departments implement ML and AI solutions in the broader context of their data and processing footprint. this is always depicted because the following 4-layer hierarchy.

Layer 1: The data.

this accretion carries the statistics allotted throughout the commercial enterprise. It includes mainframe and allotted statistics reminiscent of product and income databases, transactional information and analytical information in the statistics warehouse and any large records purposes. It also can also include consumer, vendor and corporation facts, possibly at far off websites, and even extends to public facts reminiscent of twitter, news feeds and survey results. yet another possible supply of records is server performance logs that include resource utilization history.

observe that these information exist across distinctive hardware systems together with on-premises and cloud-primarily based. As such, quite a lot of facts aspects can exist in distinct varieties and formats (e.g. textual content, ASCII, EBCDIC, UTF-8, XML, pictures, audio clips, etc.). furthermore, at this level will exist hardware and utility that control the facts, together with excessive-speed records loaders, facts purge and archive tactics, post-and-subscribe procedures for data replication, as well as those for ordinary backup and healing and disaster restoration planning.

Layer 2: The Analytics Engines.

during this layer exist a mix of hardware and application that executes business analytics against the records layer. There are a few average players in this space. They encompass:

  • The IBM Db2 Analytics Accelerator (IDAA) than can be carried out as standalone hardware or entirely integrated inside certain z14 servers;
  • Spark on z/OS;
  • Spark Anaconda on z/OS;
  • Spark clusters on allotted structures.
  • simply because the data layer happens across varied hardware platforms and distributed sites, so will the analytics engines layer. The fundamental feature of this sediment is to provide an optimized facts access layer towards the underlying data as a carrier for AI and operational applications.

    Layer three: The computer getting to know Platform.

    IT implements machine studying application in this layer. It accesses the information via one or extra of the analytics engines. it's in this layer that IBM grants its newest offering, Watson computer getting to know for z/OS (WMLz). WMLz provides a basic computer gaining knowledge of workflow consisting of right here steps:

  • statistics Ingestion and preparation — Inputting facts, filling in missing values, encoding category data, creating indexes and normalizing numeric values;
  • model constructing and working towards — An interface for the information scientist to create a mannequin of statistics conduct in accordance with old analytics, train the mannequin to notice information patterns and validate the model;
  • mannequin Deployment — implement the mannequin as a construction process, including processes for updating models in-region and monitoring mannequin outcomes;
  • remarks Loops — procedures that permit automated model learning by way of feeding model consequences again into the mannequin training procedure to replace fashions or produce new ones.
  • information scientists be aware of that one of the most most appropriate benefits of machine learning is to make use of the outcomes in operational methods; as an instance, having an ML model analyze monetary facts to examine the chance of fraud. This skill that you're going to obtain most fulfilling efficiency in the event you set up ML in the hardware atmosphere where transaction processing occurs. for a lot of big agencies this skill the IBM zServer ambiance.

    Layer 4: computing device discovering solutions.

    Now that we've the laptop learning platform accessible as ML functions, we are able to create mixed AI/ML solutions that invoke these capabilities. IBM has a few able-made solutions for this sediment, together with the following:

  • Db2 AI for z/OS (Db2ZAI) -- the use of Db2 SMF facts for analysis, Db2ZAI screens and analyzes Db2 operations in a Z/OS atmosphere. it might provide improved question entry route assistance to the Db2 optimizer to enhance SQL performance, diagnose Db2 performance abnormalities and recommend corrective action and notice Db2 statistics anomalies and supply performance tuning recommendations;
  • IBM Z Operations Analytics (IZOA) -- This product analyzes z/OS SMF statistics and detects changes in subsystem use and forecasts alterations that could be required sooner or later, does automatic difficulty evaluation and provides difficulty insights from widespread difficulty signatures.
  • Watson computer getting to know on Z

    Let’s take a deeper dive into how Watson machine studying on Z (WMLz) works and what capabilities it could supply.

    Key performance symptoms (KPIs). WMLz does not inherently comprehend what efficiency components are critical to you. however, once these KPIs are described (both via a person or by means of imposing one of the machine studying solutions referred to above), WMLz can analyze KPI facts to look for correlations. as an instance, when one KPI (say, I/O towards a important database) goes up, a different KPI (say CPU utilization) may additionally go up as neatly. As another illustration, several KPIs could be behaviorally identical, so WMLz can cluster them as a group and function extra analysis across corporations. WMLz can also determine KPI baseline behaviors based on time-of-day, time zone of transactions or seasonal activity.

    Anomaly Detection. once correlations are discovered, WMLz can appear contrary outcomes and file them as anomalies. In our I/O illustration above, an anomaly would be mentioned if I/O towards a important database expanded however CPU usage reduced.

    pattern attention. As with many desktop discovering engines, WMLz will look for patterns amongst KPIs and facts identifiers. as an instance, CPU may also boost when processing definite categories of transactions.

    KPI prediction. An extension of simple KPI processing, WMLz can use the previous behaviors of businesses of KPIs to predict the future. believe our I/O illustration as soon as once more. The product might also realize that definite transactions become extra a large number of all over a particular time period, and these transactions consume vastly extra CPU cycles. The product may then predict future CPU spikes.

    Batch workload evaluation. Many IT retail outlets have a huge contingent of batch processing it's tightly scheduled and comprises job and aid dependencies. Some jobs should wait for their predecessors to comprehensive, some use huge shared materials (akin to tape drives or area of expertise hardware) and a few are so useful resource-intensive that then can't be performed on the identical time. WMLz can analyze the workload statistics, including useful resource utilization, and provide techniques for balancing elements or tuning elapsed instances.

    MLC charge pattern analysis and value discount. Some IBM software license fees are billed month-to-month, and the license volume may additionally depend on optimum CPU utilization all over height durations. WMLz can analyze CPU usage throughout time, seek patterns and make predictions and proposals for application license charge reduction.

    Watson computer getting to know for z/OS — facets

    IBM’s Watson desktop learning for z/OS allows for IT its choice of development environments to advance models together with IBM SPSS Modeler. These environments aid facts scientists through the use of notebooks, records visualization equipment and wizards to speed the building method. a few quick-start application templates are additionally incorporated in the toolset for normal business necessities akin to fraud detection, load approval and IT operational analytics. The latest version of WMLz (edition 2.1.0) contains aid for Ubuntu Linux on Z, java APIs, simplified Python kit administration and a number of other elements.

    involved readers should reference the links below for greater distinctive technical tips.

    # # #

    See all articles via Lockwood Lyon

    REFERENCES

    machine discovering and artificial Intelligencehttps://en.wikipedia.org/wiki/Machine_learning

    information and AI on IBM Zhttps://www.ibm.com/analytics/z-analytics

    using Anaconda with Spark — Anaconda 2.0 documentationhttps://docs.anaconda.com/anaconda-scale/spark/

    Watson computer researching - Overviewhttps://www.ibm.com/cloud/desktop-studying

    Watson desktop discovering - Resourceshttps://www.ibm.com/cloud/desktop-studying/elements


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    Global Enterprise Servers Market Size, Trends, Opportunity Till 2022 | killexams.com real questions and Pass4sure dumps

    Apr 18, 2019 (AmericanNewsHour via COMTEX) -- A server is a computer program that provides a service to another computer program and its user i.e., it accepts and responds to requests made by another program, known as a client. In a crude way, we can call any device that runs server software a server. The main use of servers is to manage network resources. Servers can work on single computers or on an inter-connected network of computers. Enterprise Servers are computer servers having programs required to collectively serve the needs and requirements of not just an individual user but an entire enterprise. Sun Microsystems’ servers with Linux or UNIX-based Solaris systems, IBM iSeries systems and Hewlett-Packard (HP) systems are a few examples of enterprise servers.

    Request For Free Sample @ https://www.kennethresearch.com/report-details/global-enterprise-servers-market/10065168

    Market DynamicsThe factors driving the growth of the enterprise servers market are the increasing demand for x86 servers, growing use of analytics and big data processing software across industries, growth in cloud computing solutions and services market and rising demand for big data analytics. The factors acting as a constraint to the growth of the enterprise servers market are the high level of technical skills required for the installation and maintenance of enterprise servers, huge installation costs and high initial investment required.

    Market SegmentationThe Global Enterprise Servers Market has been segmented into five types on the basis of operating system, chip type, operating system bits, verticals and geography.

    Segmentation by Operating System

    LINUX OSWindows OSUNIX OSSegmentation by Chip TypeReduced Instruction Set Computing (RISC)Complex Instruction Set Computing (CISC)Segmentation by Operating System bits64-bit Enterprise Servers32-bit Enterprise Servers64-bit enterprise servers are the major revenue generators in this segment.Segmentation by VerticalsManufacturing IndustryBankingFinancial ServicesInsurance SectorRetail SectorMedia and EntertainmentTelecom and ITHealthcare IndustrySegmentation by RegionNorth AmericaEuropeAsia PacificMiddle East and AfricaSouth America

    North America contributes the most revenue in this segment followed closely by Europe. North America and Europe are also expected to lead the way even when it comes to growth rate.

    Regional/ Geographic AnalysisNorth America and Europe are traditional powerhouses in the global enterprise servers market and command a significant share of the global revenues. Growth across the globe is expected to be flat as companies struggle to decide whether to deploy workloads on premises or off. Asia Pacific has high future growth potential as adoption of enterprise servers is fast increasing in this region.

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    Key PlayersThe Key players in the global enterprise servers market are Hewlett-Packard, Dell Inc., International Business Machines Corporation, Cisco Systems, Inc., Lenovo, Oracle Corporation, ODM Direct, Sun Microsystems, Inc., NEC Corporation, Unisys Corporation, Fujitsu Ltd., Hitachi, Ltd., Toshiba Corporation, and Super Micro Computer Inc.

    Report Contents Regional Analysis Report HighlightsMarket segmentsMarket Drivers, Restraints and OpportunitiesMarket Size & Forecast 2016 to 2022Supply & Demand Value ChainMarket – Current TrendsCompetition & Major CompaniesTechnology and R&D StatusPorters Five Force AnalysisStrategic and Critical Success Factor Analysis of Key PlayersNorth AmericaUS and CanadaLatin AmericaMexico, Brazil, Argentina and Rest of Latin AmericaWestern EuropeEU5 (Germany, France, Italy, Spain, U.K.)Nordic Countries (Denmark, Finland, Norway, and Sweden)Benelux (Belgium, The Netherlands, and Luxembourg)Rest of Western EuropeEastern EuropeRussiaPolandRest of Eastern EuropeAsia PacificChinaIndiaJapanAustralia and New ZealandRest of Asia PacificMiddle East and AfricaGCC countries (Saudi Arabia, Oman, Qatar, Bahrain, UAE and Kuwait)South AfricaNorth AfricaRest of Middle East and Africa

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    Application and Data Integration Between Linux and OS/400 | killexams.com real questions and Pass4sure dumps

    January 28, 2004 Erwin Earley and David Boutcher

    terminate catalog database s400a at node s400a authentication dcs terminate catalog dcs database s400a as s400a terminate connect s400a user dave using mypwd select * from mylib/myfilep

    The above commands will connect to the DB2/400 database engine, via DB2 Connect; build a database catalog on the “client”; and perform a simple query on one of the tables defined in the database catalog.

    BUILDING INTEGRATED APPLICATIONS

    A number of scripting languages, including PHP and Perl, can be used to build integrated applications in Linux that access data in DB2/400 via DB2 connect. PHP is a general-purpose scripting language especially suited for Web development, as it can be easily embedded into HTML (as you will see later in this article). PHP can be used to perform a number of functions, such as collecting data for Web forms, generating dynamic page content, and sending and receiving of cookies.

    To integrate Apache with DB2/400 data, we will use both Apache and PHP to build a Web page with dynamic content from the DB2/400 databases. To use DB2/400, both Apache and PHP have to be recompiled to have DB2 support. In Linux, this is accomplished with the “enable” flag to the compile statement, as follows:

    --enable-ibm-db=/usr/IBMdb2/v7.1

    Once Apache has been compiled (and installed) with PHP support, it is necessary to add the DB2 environment variables to the Apache startup script. This can be done by executing the startup script of the db2instance:

    ./usr/lib/db2/db2inst1/sqlib/db2profile

    There is a good “how to” guide on the Web that discusses building Apache and PHP DB2 connections in Linux, called “AS400 DB2 Linux PHP Connection howto.”

    Finally, data from DB2/400 can be included by embedding PHP into HTML, as in the following example:

    <html> <body> <h1 align=center>Dave's iSeries Performance! </h1> <table border=1 bgcolor='#7F8F9F' align=center> <tr> <th>Interval</th> <th>CPU Seconds</th> <th>Interactive seconds</th> </tr> <? $dbname="rchcst14"; $dbuser="dave"; $dbpwd="mypwd"; $db=odbc_connect($dbname,$dbuser,$dbpwd); $sql="select intnum, scpu01, scifus from qpfrdata.qapmsyscpu"; $result=odbc_exec($db,$sql); While (odbc_fetch_row($result)) { printf("<tr><td>%s</td><td>%s</td><td>%s</td> </tr>", odbc_result($result,1),odbc_result($result,2),odbc_result($result,3)); } odbc_close($db); ?> </table> </body> </html>

    The text in italics above is the PHP script. The script establishes three variables (dbname, dbuser, and dbpwd) to identify the name of the database to establish a connection to, and the user name and password used to authenticate the access. An additional variable (db) is setup, which contains the odbc_connect statement, which performs the actual connection to the database; and the variable sql contains the query that retrieves a set of records from the database. The final variable setup by the script is the result variable that contains the odbc_exec statement, which, as you will see in a minute, performs the function of connecting to the database and executing an SQL statement.

    Finally, the while loop performs an “odbc_fetch_row” request that will use the result variable (which contains the database connection information and SQL query statement) to retrieve a set of records from the database and to loop through the records returned. Within the “while” loop, the fields from the records are printed (printf) to the HTML form. The fields returned are represented by the odbc_result parameters in the printf statement.

    The odbc_close statement terminates the connection to the DB2/400 database that was established with the odbc_connect statement. The $> construct closes the PHP script within the HTML script.

    The above script results in a Web page.

    Previous articles have introduced the basics of Linux in logical partitioning, as well as networking alternatives for Linux, on iSeries systems. These articles covered the advantages of using iSeries for Linux in virtualizing resources (such as disk and network) and explained how to manage workloads better through subcapacity processor allocation. This article explains how Linux on iSeries can integrate with OS/400 to access data resident in DB2 databases, as well as flat files resident in the OS/400 Integrated File System.

    A number of solutions can be built upon the virtual LAN features of Linux on iSeries to integrate Linux with data resident on OS/400. These capabilities can be broken down into two types:

  • Architecturally pure solutions: DB2 Connect, Java Database Connectivity (JDBC), and iSeries Open Database Connectivity (ODBC) Driver
  • Architecturally impure solutions: File Transfer Protocol (FTP), Network File System (NFS), and iSeries NetServer
  • Architecturally pure solutions are those in which the data remains resident on the database server. Impure solutions, on the other hand, are those that make a copy of the data and transfer it to the server that the application is running on. Architecturally pure solutions provide real-time access to the data, while architecturally impure solutions are only as accurate (from a data perspective) as of the time the data was copied. Both of these types of data access are discussed in this article.

    LINUX WEB-APPLICATION MODELS

    As the number-one Web server on the Internet, and certainly the number-one Web server under Linux, Apache is a good vehicle for WebFacing into DB2 data resident in OS/400. The Apache Web server can be extended through a variety of scripting languages to provide additional capabilities. Two popular scripting languages, Java and JavaServer Pages (JSP) and PHP Hypertext Preprocessor (PHP) can be used to extend the capability of the Web server by providing access to data resident locally or in database servers. As a side note, you may notice that PHP is a recursive acronym; this is one of many such acronyms that you will discover in the open-source community.

    The Apache Web server integrated with scripting languages

    Both of these methods are capable of accessing DB2/400 data, as will be explained in this article.

    Linux and OS/400 Integration can be broken down into two main areas: access to DB2/400 data sources and access to flat files resident in the OS/400 IFS.

    Linux integration with OS/400-resident data

    There are a number of integration options: IBM Toolbox for Java, including JDBC; the DB2/Connect product; Network File System (NFS); ODBC for DB2 UDB; and iSeries NetServer for OS/400 IFS.

    PURE DB2 SOLUTIONS

    Let’s look first at pure DB2 solutions for accessing DB2/400 data. A pure DB2/400 solution is characterized as a solution in which applications deployed in Linux access data that remains resident in the DB2/400 databases. This model of data access is often referred to as client/server.

    The Java Database Connectivity (JDBC) driver allows access to DB2 UDB data sources from an iSeries Linux partition. JDBC can be used to access OS/400 V4R4, V4R5, V5R1, and V5R2. The access can be via a virtual or real (physical) TCP/IP LAN connection (previous articles in this publication provide information on virtual LAN capability in iSeries LPAR). The JDBC driver supports the standard Java Virtual Machines, including IBM Java Virtual Machine 1.3.1, which is included in the SuSE distribution of Linux for iSeries and can be downloaded for other iSeries distributions. JDBC is part of the Toolbox for Java and can be downloaded from IBM’s Web site.

    A JDBC-enabled Java application running in a Linux partition and accessing DB2/400 data in a secondary OS/400 partition

    Keep in mind that in the diagram above the access is across the virtual LAN provided in OS/400 and supported in iSeries logical partitioning, so the access speed between the Java application and the back-end data will be at 1 GB.

    With the recent release of DB2 UDB for Linux on iSeries, Version 8.1, DB2 Connect can be used to provide a data connection between Linux and DB2/400. DB2/400 provides a connection between a client application and a DB2 database resident on any of a number of servers, including OS/390, VM/VSE, and DB2 UDB for iSeries.

    DB2 connect for application connectivity to DB2 UDB data

    A number of APIs (application program interfaces) are supported with DB2 Connect, including the following:

  • Embedded SQL–Static SQL, Dynamic SQL, Java (SQLJ), COBOLl, C, C++, FORTRAN, REXX
  • ODBC
  • DB2 call level interface (DB2 CLI)
  • JDBC (Java)–JDBC 2.0 compliant; both application and applet drivers are provided
  • A number of steps have to be performed when using DB2/Connect to access DB2/400 data:

  • Make sure that the DDM server is started (STRTTCPSVR *DDM).
  • Install DB2 Connect on the client.
  • Run the following commands from within DB2 Connect on the client. (The text in italics will be substituted with entries specific to your environment.)
  • catalog tcpip node s400a remote s400a.rchland.ibm.com server 446
  • Perform these steps once:
  • Web page results of using PHP integrated with ODBC

    Remember that with the use of one of the pure solutions, such as DB2 connect, JDBC, or ODBC, you can build Web pages (or other applications) that provide dynamic access to the DB2/400 data.

    DB2/400 INTEGRATION WITH ODBC

    The ODBC driver, which conforms to the ODBC 3.5 specification, can also be used to provide access to DB2/400 data from Linux-based applications. The driver is included with some of the Linux on iSeries distributions. The driver can be downloaded from IBM’s Web site. The communication between Linux and DB2/400 uses the existing OS/400 host servers.

    ODBC access to DB2/400 databases from within Linux can be provided to a number of applications, including OpenOffice, Apache/PHP, Perl, and isql (for interactive access to DB2/400 database tables).

    The PHP that ships with the Linux on iSeries distributions has not been built with the necessary options to enable ODBC support. Additionally, Apache generally needs to be built with dynamic shared object DSO support. The DSO support is a method of linking modules into apache. DSO is the mechanism that is used to build and link the PHP ODBC module into Apache.

    IMPURE DB2 SOLUTIONS

    Impure DB2 solutions are those solutions that work with DB2/400 data by snapshotting a copy of the data in OS/400 and then transferring the resulting file to Linux for use by Linux applications. Solutions of this type have an advantage, in that no additional support (such as ODBC) needs to be installed in Linux and the Linux applications do not need to be rebuilt for that support. The disadvantage of using impure solutions is that the resulting data used by Linux is static and only reflects the state of the database at the time the data was collected, not when the application was executed.

    As an example, Linux applications have support for comma-separated files (CSVs). The following OS/400 command can be used to make a copy of a database into a comma separated file:

    CPYTOIMPF FROMFILE(QPFRDATA/QAPMSYSCPU TOSTMF('/home/dave.data') STMFCODPAG(*PCASCII) RCDDLM(*CR)

    Once the file has been generated, it can be transferred to Linux through any of the supported network applications, such as FTP, Network File System (NFS), or iSeries NetServer/Samba. Once the file is available to Linux, it can be used by Linux applications, such as HTML with embedded SQL:

    <html> <body> <h1 align=center>Dave's iSeries Performance! (CSV) </h1> <table border=1 bgcolor='#FF8F7F' align=center> <tr> <th>Interval</th> <th>CPU Seconds</th> <th>Interactive seconds</th> </tr> <? $row = 1; $fp = fopen("dave.data","r"); while ($data = fgetcsv($fp,1000,",")) { printf("<tr><td>%s</td><td>%s</td><td>%s</td></tr>", $data[0], $data[6], $data[38]); } fclose($fp); ?> </table> </body> </html>

    This script is similar to the HTML/PHP script shown earlier in this article. The difference is that this script goes against the flat file, rather than dynamic content resident in the DB2/400 database. In this example, the PHP code (shown in italics) opens a file (dave.data) and loops through the records, outputting the fields within each record ($data[0], $data[6], and $data[38]) to the Web form being built by the encapsulating HTML script. The result is similar to the Web page below.

    A Web page results using PHP against static (CSV) data

    Again, the data being displayed is only current to the point in time when the data file was built in OS/400. For many applications, however, this type of access will be sufficient. OS/400 facilities could be used to automatically generate the data files on a periodic basis and to place the resulting files in a network-accessible directory, which the Linux based application could then access as needed. In this way, Linux-based applications could be built without additional configuration of the application or installation of additional drivers that would provide interfaces to DB2/400 content.

    FLAT-FILE ACCESS

    Linux on iSeries supports the same network protocols and applications that Linux on any other platform supports, including the TCP/IP protocol and network services such as FTP, NFS, and Samba. These services can be used to integrate with OS/400 to provide file services to OS/400 or, more likely, to retrieve file resources from OS/400. Remember that a virtual LAN can be configured inside the system that provides 1 GB access speeds for intrapartition communication, so access to files between Linux and OS/400 will be quite speedy.

    EXTENDING ACCESS TO OS/400 DATA

    There are a lot of Linux skills available in the marketplace, as well as Apache, PHP, and MySQL skills. These skills can be used to help build Linux solutions that leverage OS/400 data either dynamically (through use of the database connection mechanisms discussed earlier in this article) or statically through the use of OS/400 facilities and network access to OS/400 from Linux.

    Erwin Earley is an advisory software engineer at IBM and has worked at the Rochester, Minnesota, development lab since 1996. At the iSeries Technology Center, he provides education and enablement services for Linux on iSeries. Erwin has worked in the IT industry for 24 years and has experience with several Unix variants, as well as Linux and OS/400. He also provides Linux education classes at a local university. E-mail: earleye@us.ibm.com

    Dave Boutcher is a developer with the IBM Linux Technology Center, working in the Linux kernel. Before working on Linux, he was involved in the development of NetServer, FSIOP, and communication products for OS/400. E-mail: boutcher@us.ibm.com


    IBM Initiative Pushes Linux for Business | killexams.com real questions and Pass4sure dumps

    To speed the development of Linux applications that address the unique needs of small- and medium-sized businesses (SMB), IBM introduced the Linux Test Drive for eServer iSeries, which makes available over the Internet a virtual Linux server to help independent software vendors and the Open Source community write and port their applications to Linux on iSeries.

    The eServer iSeries uses advanced "partitioning" technology that allows a single physical server to be divided into dozens of virtual servers that can be accessed remotely by software developers around the world.

    IBM believes the combination of Linux and the IBM eServer iSeries, with its popularity among SMB customers, can help small businesses consolidate dozens of standalone servers on a single, easy-to-manage, mainframe-class server, reducing cost and complexity. To date, more than 200,000 customers around the world, many of them mid-sized companies, run their businesses on IBM eServer iSeries, choosing it for its security, reliability and low total cost of ownership.

    According to IDC, small businesses represent 48% of all Linux server installations. Industry analysts also estimate that small- and medium-sized businesses (up to 1,000 employees) will represent more than 50% of the total server market worldwide by 2004.

    H.A. Technical Solutions LLC, a provider of high availability clustering and data replication software, recently ported two of its applications to Linux on eServer iSeries. "The process of moving UNIX and Java applications to Linux on eServer iSeries proved remarkably easy", said LeRoy D. Earl, executive vice president, H.A. Technical Solutions. "We simply installed the software and it ran perfectly."

    Software providers can get more information and enroll at the Linux Test Drive web site. Participants can select from SuSE or Turbolinux distributions and can choose between 14-day free access or 30-day access for a nominal fee. The recently announced Red Hat version will be supported on the Test Drive server in January 2002.

    IBM eServer iSeries offers mid-sized customers mainframe-class reliability and security. A single iSeries server can support up to 31 separate Linux partitions, allowing businesses to reduce cost and complexity by consolidating multiple workloads onto a single, easy-to-manage server.

    Linux Test Drive joins a comprehensive set of Linux software and hardware offerings for SMB. The Small Business Suite for Linux includes DB2 Universal Database, WebSphere Application Server and Lotus Domino. The suite is bundled to deliver all the tools necessary to help customers with messaging and collaboration, productivity, web site creation and design, and data management.

    Linux Test Drive builds on the success of Linux and the IBM eServer z900 mainframe in large enterprises. The Linux Community Development System, a program announced earlier this year, provides developers access to their own virtual mainframe running Linux, helping them build new enterprise applications that enable customers to consolidate their distributed servers on a single IBM zSeries mainframe.



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