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000-735 - DB2 9.5 SQL Procedure Developer - Dump Information

Vendor : IBM
Exam Code : 000-735
Exam Name : DB2 9.5 SQL Procedure Developer
Questions and Answers : 99 Q & A
Updated On : December 10, 2018
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000-735 Questions and Answers

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000-735 DB2 9.5 SQL Procedure Developer

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000-735 exam Dumps Source : DB2 9.5 SQL Procedure Developer

Test Code : 000-735
Test Name : DB2 9.5 SQL Procedure Developer
Vendor Name : IBM
Q&A : 99 Real Questions

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IBM IBM DB2 9.5 SQL

Introduction to DB2 | killexams.com Real Questions and Pass4sure dumps

This chapter delivered DB2 and its history, discusses the kinds of consumers and servers attainable with DB2, and covers the types of purchasers and servers obtainable with DB2.

This chapter is from the book 

DATABASE 2 (DB2) for Linux, UNIX, and home windows is a data server developed via IBM. edition 9.5, attainable seeing that October 2007, is the most current edition of the product, and the one on which we center of attention during this e-book.

during this chapter you're going to learn concerning the following:

  • The historical past of DB2
  • The suggestions management portfolio of products
  • How DB2 is developed
  • DB2 server variants and customers
  • How DB2 is packaged for developers
  • Syntax diagram conventions
  • since the 1970s, when IBM analysis invented the Relational model and the Structured question Language (SQL), IBM has developed an entire household of facts servers. development begun on mainframe systems similar to digital computer (VM), virtual Storage prolonged (VSE), and dissimilar virtual Storage (MVS). In 1983, DB2 for MVS version 1 turned into born. "DB2" become used to point out a shift from hierarchical databases—such because the assistance administration equipment (IMS) customary on the time—to the brand new relational databases. DB2 building persevered on mainframe systems in addition to on allotted platforms.1Figure 1.1 suggests probably the most highlights of DB2 historical past.

    In 1996, IBM announced DB2 prevalent Database (UDB) version 5 for dispensed platforms. With this edition, DB2 became capable of save every kind of electronic records, including common relational information, in addition to audio, video, and text files. It become the primary edition optimized for the web, and it supported more than a few distributed systems—for example, OS/2, windows, AIX, HP-UX, and Solaris—from assorted providers. furthermore, this usual database changed into capable of run on a variety of hardware, from uniprocessor methods and symmetric multiprocessor (SMP) methods to hugely parallel processing (MPP) methods and clusters of SMP systems.

    even though the relational mannequin to shop information is essentially the most ordinary within the industry today, the hierarchical model by no means lost its value. in the past few years, as a result of the popularity of eXtensible Markup Language (XML), a resurgence in the use of the hierarchical model has taken place. XML, a flexible, self-describing language, relies on the hierarchical mannequin to keep data. With the emergence of recent net applied sciences, the should keep unstructured forms of data, and to share and trade tips between businesses, XML proves to be the finest language to meet these needs. these days we see an exponential boom of XML documents utilization.

    IBM identified early on the significance of XML, and large investments have been made to carry pureXML expertise; a know-how that offers for more desirable support to keep XML files in DB2. After 5 years of development, the hassle of 750 developers, architects, and engineers paid off with the free up of the primary hybrid data server out there: DB2 9. DB2 9, purchasable on the grounds that July 2006, is a hybrid (also referred to as multi-structured) facts server because it enables for storing relational information, in addition to hierarchical data, natively. whereas other information servers out there, and former versions of DB2 could shop XML documents, the storage formula used became now not most fulfilling for efficiency and flexibility. With DB2 9's pureXML expertise, XML documents are kept internally in a parsed hierarchical method, as a tree; for this reason, working with XML files is vastly enhanced. In 2007, IBM has long past even extra in its assist for pureXML, with the liberate of DB2 9.5. DB2 9.5, the newest version of DB2, now not best enhances and introduces new aspects of pureXML, nevertheless it also brings improvements in installation, manageability, administration, scalability and efficiency, workload administration and monitoring, regulatory compliance, issue choice, guide for application development, and guide for enterprise partner applications.

    DB2 is purchasable for many structures together with equipment z (DB2 for z/OS) and device i (DB2 for i5/OS). except otherwise noted, once we use the time period DB2, we're referring to DB2 edition 9.5 running on Linux, UNIX, or home windows.

    DB2 is a part of the IBM suggestions management (IM) portfolio. desk 1.1 shows the distinct IM items purchasable.

    table 1.1. tips management items

    assistance administration products

    Description

    Product offerings

    statistics Servers

    provide software services for the at ease and productive management of records and enable the sharing of guidance throughout varied structures.

    IBM DB2

    IBM IMS

    IBM Informix

    IBM U2

    information Warehousing and company Intelligence

    support valued clientele bring together, put together, control, analyze, and extract helpful advice from all data types to help them make faster, more insightful business selections.

    DB2 Alphablox

    DB2 dice Views

    DB2 Warehouse version

    DB2 query management Facility

    commercial enterprise content administration & Discovery

    manage content material, manner, and connectivity. The content includes both structured and unstructured information, akin to e-mails, electronic kinds, photographs, digital media, notice processing files, and internet content material. function commercial enterprise search and discovery of assistance.

    DB2 content material manager

    DB2 common shop

    DB2 CM OnDemand

    DB2 information manager

    FileNet P8 and its add-on suites

    OmniFind

    suggestions Integration

    bring together disbursed suggestions from heterogeneous environments. companies view their suggestions as if it were all residing in one region.

    IBM tips Server integration software platform, along with:

  • - WebSphere Federation Server
  • - WebSphere Replication Server
  • - WebSphere DataStage
  • - WebSphere ProfileStage
  • - WebSphere QualityStage
  • - WebSphere advice features Director
  • - WebSphere Metadata Server
  • - WebSphere business glossary
  • - WebSphere statistics experience publisher

  • ANTs application 2010 IBM CTO Innovation Award Finalist for Co-setting up IBM DB2 SQL epidermis for Sybase ASE | killexams.com Real Questions and Pass4sure dumps

    SAN FRANCISCO--(company WIRE)--ANTs utility inc. (OTCBB: ANTS), a leader in database consolidation options, today introduced that it has been named one of the vital two finalists, in a group of 20 agencies, for the IBM CTO Innovation Award on the IBM assistance On Demand conference in Las Vegas, NV. ANTs is being identified for the development of the IBM® DB2® SQL skin for purposes compatible with Sybase ASE (IBM DB2 SQL skin), a new element of the overall IBM SmarterSystems method. IBM DB2 SQL skin for Sybase ASE helps organizations to accelerate migration of purposes from one database management system (DBMS) to an extra DBMS removing the should invest in costly upgrades or pay hard end-of-existence penalties.”

    The IBM CTO Innovation Award acknowledges visionary IBM company partners who are leading the cost in exploiting counsel management’s latest capabilities in inventive, chopping-side, exciting and exciting new methods.

    “ANTs is honored to be identified with the aid of IBM for our database consolidation technology,” stated Joseph Kozak, Chairman and Chief government Officer of ANTs application. “The cognizance confirms our dedication to innovation and the cost of constructing it easy to migrate from Sybase ASE to IBM DB2 with little or no rewriting of the utility.”

    be trained extra concerning the IBM SQL epidermis for Sybase ASE at: http://www-01.ibm.com/utility/records/db2/linux-unix-home windows/variants-aspects-sql-sybase.html

    About ANTs application, inc.

    ANTs application inc. is revolutionizing and simplifying DBMS migration, hardware consolidation and IT modernization. Our mission is to support valued clientele efficaciously use IT materials and force down IT operating charges by consolidating hardware and application infrastructure. For greater advice, seek advice from www.ants.com.

    forward-searching Statements

    This press free up consists of forward-searching statements within the which means of the federal securities laws, together with statements concerning monetary projections, financing actions, product development activities and sales and licensing actions. Such forward-looking statements are not ensures of future results or efficiency, are now and again identified via words of circumstance akin to “should still,” “might,” “expects,” “may,” or “intends,” and are area to a couple of hazards and uncertainties, universal and unknown, that might trigger genuine results to vary materially from these intended or predicted. Such risks encompass, devoid of quandary: complications securing the essential financing to proceed operations should revenues now not be sufficient to offset costs, problems encountered in commercializing the ANTs expertise, skills of undetected infringing know-how or non-infringing aggressive technologies, difficulties skilled in product building, roadblocks experienced in sales and marketing actions, longer than anticipated revenue processes, difficulties in recruiting knowledgeable and skilled personnel, possible complications in migrating applications using the ANTs Compatibility Server (ACS), and capabilities issues in retaining the company’s highbrow property. further guidance concerning these and other dangers is blanketed within the business’s filings with the Securities and trade fee, including the company’s most contemporary Annual record on kind 10-k for the fiscal year ended December 31, 2009. The enterprise undertakes no duty to replace or revise such forward-searching statements to mirror movements or circumstances taking place after the date of this press unlock.


    The top of the line Database-as-a-service options of 2018 | killexams.com Real Questions and Pass4sure dumps

    what's Database-as-a-carrier (DBaaS)?

    after we discuss databases being consumed as cloud features, we're talking about database-as-a-provider (DBaaS). whereas this is never a silver bullet that'll simplify the lives of anyone who requires a database for some assignment or app construction project, DBaaS is not only effectively it's very bendy. It has lots of the advantages and downsides regular to other functions within the cloud, such as superior charge controls on the one hand however more confined aspects than the on-premises alternative nonetheless. youngsters, it additionally doubles as engine-vogue application that powers a big array of other utility-as-a-carrier (SaaS) apps, everything from at once-connected facts visualization equipment to corporation-spanning business useful resource planning (ERP) platforms. but DBaaS is also a solution unto itself with pros and cons entertaining to database functionalities.

    benefits of DBaaS consist of reduce entry boundaries, enhanced entry to technologies that were in the past simplest in reach for gigantic firms, and digitally native use cases similar to web of issues (IoT) records streaming, machine gaining knowledge of (ML) working towards, and hybrid applications equivalent to an adjunct to computing on the area.

    risks of DBaaS encompass the universal stress of databases, the complexity of statistics science, inflexibilities in integrations, network efficiency considerations, and the complexity that comes with gigantic information transfers. when you are moving delicate records between your DBaaS provider and some different web site, you will also deserve to take safety precautions, which might contain anything from effective id administration protocols to implementing a digital private network (VPN). furthermore, there are a considerable number of forms of DBaaS suppliers from people that do nothing else to massive-scale cloud provider or internet hosting suppliers for whom a database is just one service out of many. selecting the most fulfilling provider from among such a list skill sifting through a long listing of variables, including fee, geographic proximity, aid, and even the remaining taks the database is meant to function. All of these obstacles can lead to the real want for advice from a database administrator (DBA) despite the claims of many DBaaS carriers that their platforms are self-provider and user-pleasant.

    The bottom line is that records science is never handy, in spite of the fact that the database spin-up and configuration is automatic because it is to at least one degree or one more in DBaaS offerings. however there are DBaaS products and functions that are less complicated to make use of than others, and some are actually well within the powers of standard builders and enterprise analysts.

    I performed the experiences in this roundup from the perspective of developers and analysts, and to a lesser degree, small to midsize groups (SMBs) with few inside IT materials. The purpose of this mission become now not to determine superiority from a strictly technical perspective, but to establish how smartly a customary user is probably going to be in a position to use the provider, devoid of the help of a DBA, whereas nevertheless maintaining the know-how's full advantage. If the stories have been carried out based on technical facets on my own, then the seller rankings may had been distinct.

    What 'easy to use' basically ability in a DBaaS

    As with every other SaaS offering, DBaaS is in fact utility on a person else's servers. that is true even in the sadly named "serverless" fashions. The "handy to use" consideration right here applies to greater than just even if or no longer the consumer interface is user-pleasant, but also to right here:

  • no matter if tips is obtainable on which database class or engine matches the records or workload,
  • How convenient it's to load and transfer records,
  • How tons of the server provisioning and repair configuration is dealt with through ML and automation, and,
  • How a good deal of the backup and restoration system is automatic.
  • If the person have to make an extended listing of decisions without difficulty to configure the database, then it's now not really handy to make use of for non-DBAs no depend what number of pull-down menus and rationalization packing containers the UI has. however, it could be easy for DBAs to make use of and that's fine, too, however for different applications and a different form of assessment. In different phrases, for a DBaaS to be a strong self-provider platform, it must eliminate the want for a DBA to be fingers-on with each little consumer interaction.

    in spite of this, whether it is to be an choice or hybrid add-on to an on-premises database or even a corporation's primary database (as is often the case with cloud-native companies), then being handy for DBAs to make use of and monitor may still be the basic issues. for example, if your business has been running an illustration of Microsoft's SQL Server on-premises for some years, and now opts so as to add an illustration of Microsoft's Azure SQL Database as a cloud-based backup repository, then most of your conclusion-users will never deserve to touch that illustration. within the same vein, if the database's fundamental project can be to vigor one more app or workflow, then, once again, users may not frequently should have interaction with it without delay. in spite of everything, as soon as a database is up and working, users can employ equipment equivalent to business intelligence (BI), developer, and DevOps apps to do the work they're basically interested in. The database continues to be in the historical past for most of these eventualities, and even advanced users apart from the DBA will hardly ever need to touch it.

    That mentioned, ease of use in this evaluation roundup includes the entire spectrum of capabilities provided. The service lets builders, analysts, and the occasional SMB ordinary tech person spin up databases on the fly, with few directions and little greater reachable than a credit card and a web-connected computer.

    through those parameters, Microsoft Azure SQL Database is the least difficult to use, with MongoDB Atlas coming in an in depth 2nd. identifying which of those two Editors' option winners you need to use can have greater to do with your facts's present format and the tasks you are working on than ease of use. IBM Db2 on Cloud is additionally handy to use, despite the fact there are a whole lot of developers who might beg to differ. lots of the griping facilities on design restrictions for builders.

    providers are not equal when it comes to the number of areas offered. Fewer options may show a downside in some compliance eventualities with the european Union's familiar statistics coverage rules (GDPR). They additionally differ in assisting compliance with other laws, with some still engaged on these concerns and others straight away coming on board. One case in factor: As of June 2018, MongoDB Atlas is now compliant with the medical insurance Portability and Accountability Act (HIPAA).

    trying out models and the importance of regions

    The review of each and every product contains notations on no matter if trial or free models are available and any barriers that may additionally follow. as an instance, MongoDB Atlas has a "free continuously" edition with 512 MB of storage and shared random entry memory (RAM). IBM Db2 on Cloud has a free developer edition with business points, but specific-C, its free industrial edition, lacks advanced business points. Paid types vary much less as they are most often pegged to storage and computing use in preference to to facets. youngsters, it's critical to word which facets and areas can be found in the a lot of types earlier than you opt for one.

    most likely, if it does not have advanced enterprise facets comparable to IBM Db2 on Cloud's categorical-C version and you need those, then that edition is rarely going to figure out. Likewise, when you've got considerations with GDPR to address, or a lot of clients around the globe and also you actually need to eradicate lag on your app, then Microsoft Azure SQL Database's remarkable 50 areas worldwide in a hundred and forty nations is going to count as an awful lot as having more version alternate options does.

    As to your alternatives with reference to areas, MongoDB Atlas has fifty six. It makes decent use of the areas from Amazon web capabilities (AWS), Google Cloud, and Microsoft Azure considering the fact that it be hosted on all three. And, counterintuitively, Google BigQuery came in with the least number of areas.

    Being in a position to choose the vicinity place to your database is important for 2 factors. First, on account of laws equivalent to GDPR, you have to be certain about where your facts resides (even within the cloud), the place it strikes, and the way it is used. Being in a position to opt for the appropriate place in your database is indispensable to staying GDPR-compliant, in spite of the fact that you haven't any European Union (european) customer statistics or european worker statistics. a number of situations follow here.

    for instance, an employee can be American and as a result his statistics is unaffected with the aid of GDPR. His spouse may be European or American but their child may additionally have twin citizenship if she or he changed into born in Europe. So, assurance records on them is plagued by GDPR. hence, despite the fact that the company has no eu client or european employee facts, it still finds itself desiring to be GDPR-compliant. That legislations is significantly advanced. and there's a different, much more complicated privateness law from the ecu coming down the pike. it be prudent, hence, to grasp exactly the place your information is and what's going on with and to it, even if or not you believe you won't have any ecu individual statistics to be anxious about.

    The nearer your data and app are to 1 a further, the superior the efficiency—meaning, the shorter the lag and other considerations. you're going to are looking to seek alternatives to installation your app within the identical information center as your database or colocate your database next to your app.

    models also differ notably between carriers and additionally inside a single supplier's product lineup. Some are in your price range on the front end but rack up charges by way of charging you for quite a lot of equipment and repair improvements, corresponding to extra safety or backup and restoration capabilities. be careful for that.

    For this evaluation roundup, I frequently used mid-tier-priced verify bills that had been set up by using the providers in preference to the greater restricted trial or free-tier versions. on occasion I transferred my own look at various statistics and often I loaded dealer look at various facts or worked with their preloaded data units. in lots of situations, carriers provided credit to ensure I could entirely test their techniques. occasionally, I verified free developer versions, as I did with SAP Cloud Platform, SAP HANA provider as a result of those are usually full-featured ones. In every case, the version I proven is noted in each and every evaluate writeup.

    SQL or NoSQL?

    one other element making direct comparisons more elaborate during this evaluate roundup is in the styles of databases. As all information professionals recognize, SQL handles structured facts and NoSQL is for unstructured information, although that distinction likely isn't obtrusive to typical clients. An instance of structured statistics is a spreadsheet whereas an illustration of unstructured facts is the Twitter feed firehose. SQL databases are usually referred to as relational databases whereas NoSQL databases are referred to as nonrelational ones.

    although, when it involves DBaaS, the alternatives are extra numerous than just making a structured versus unstructured information decision. as an example, MongoDB Atlas, which is open-source NoSQL, runs on different branded cloud capabilities equivalent to AWS, Google, and Microsoft clouds. Some vendors will e-book you through the maze of alternatives considering the fact that their branded DBaaS functions offer other product options for other database varieties.

    as an example, IBM Db2 on Cloud is SQL, but it surely will funnel clients at the outset to Cloudant, an IBM NoSQL DBaaS product, or to open-source databases, reminiscent of MongoDB on IBM, because the uploaded information dictates. that is tremendously helpful to these with few statistics science knowledge or confined figuring out.

    In every evaluate, I be aware no matter if the DBaaS product is SQL or NoSQL and whether different database alternate options can be found within the product lineup. With most services, you'll should be aware of from the outset what classification of database you need. With a valuable few, comparable to IBM Db2 on Cloud, the onboarding process will book you to the correct database.

    right here's a brief rule of thumb: when you are working with laptop-readable information, then you want SQL. believe spreadsheets and IoT statistics. If or not it's human recommendations or expressions, then you definately want NoSQL. suppose social media, video records, and audio records. Be forewarned that once in a while the app will push you a technique, continually admired of SQL. but on occasion end goals will push you a further manner: NoSQL scales larger, faster.

    finally, keep in mind that ML assists are more suitable than flogging the information to your personal. ML support is referred to within the studies as neatly.

  • execs: characteristic-rich. effortless to make use of. a large number of regions for greater GDPR-compliance alternatives. No app breakage in transfers. computer discovering-based auto-tuning means. Can use older SQL purposes courting again to 2005.

    Cons: correct for structured data best since the database is SQL. awesome for complex queries however unsuitable for messy, human verbal exchange statistics.

    base line: Microsoft Azure SQL Database is an excellent Database-as-a-carrier (DBaaS) answer for builders, business analysts, and database directors given its ease of use and exemplary controls.

    read overview
  • execs: easy to use. Open source with powerful scaling, sharding, serverless, and computing device getting to know capabilities.

    Cons: it be NoSQL, which is generally unsuitable for advanced queries. Some purposes require SQL databases to function, which eliminates NoSQL databases from consideration.

    final analysis: MongoDB Atlas is a developer's dream database, with a brilliantly primary person interface, extra automation than most Database-as-a-carrier (DBaaS) options, a whole lot flexibility and controls, constructed-in replication, and nil lock-in.

    examine assessment
  • execs: sturdy and strong. offers users with plenty of controls. Very safety mindful.

    Cons: complex to install and circulate statistics. Requires assist from a database administrator and a community expert for setup. expensive.

    final analysis: Amazon Relational Database provider is never a newbie-pleasant Database-as-a-carrier (DBaaS) solution, however with the appropriate gurus helping you out, it's a pretty good relational database service.

    study overview
  • professionals: marvelous for massive information initiatives. flexible records ingestion. quick evaluation. Integrates well with well-nigh any category of records.

    Cons: constructed for massive information so it's overkill for small statistics units. perplexing SQL dialects. Unwieldy fees devoid of suitable consideration to device use and automatic scaling. Flat expense pricing works enhanced.

    bottom line: Google BigQuery is a pretty good Database-as-a-provider (DBaaS) solution for cloud native organizations and anybody working with laptop learning application development or dealing with huge units.

    examine overview
  • execs: incredibly easy statistics migration and setup. smartly designed.

    Cons: Fewer area options, which may additionally influence your efficiency and compliance necessities reckoning on what you're doing with the database.

    bottom line: IBM Db2 on Cloud is a dream Database-as-a-provider (DBaaS) solution for builders and business analysts as a result of they can use it devoid of the assistance of a database administrator, even with minimal skills.

    read overview
  • pros: notable for HANA users and big records builders. yes, that capacity cyber web of issues, laptop learning, and Java, too.

    Cons: Having two distinct developer environments is complicated and probably restrictive.

    base line: SAP Cloud Platform, SAP HANA service must mature, nevertheless it's nevertheless an impressive and unique Database-as-a-provider (DBaaS) solution with many vital capabilities.

    study evaluation

  • 000-735 DB2 9.5 SQL Procedure Developer

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    DB2 9.5 SQL Procedure Developer

    Pass 4 sure 000-735 dumps | Killexams.com 000-735 real questions | [HOSTED-SITE]

    Introduction to DB2 | killexams.com real questions and Pass4sure dumps

    This chapter introduced DB2 and its history, discusses the types of clients and servers available with DB2, and covers the types of clients and servers available with DB2.

    This chapter is from the book 

    DATABASE 2 (DB2) for Linux, UNIX, and Windows is a data server developed by IBM. Version 9.5, available since October 2007, is the most current version of the product, and the one on which we focus in this book.

    In this chapter you will learn about the following:

  • The history of DB2
  • The information management portfolio of products
  • How DB2 is developed
  • DB2 server editions and clients
  • How DB2 is packaged for developers
  • Syntax diagram conventions
  • Since the 1970s, when IBM Research invented the Relational Model and the Structured Query Language (SQL), IBM has developed a complete family of data servers. Development started on mainframe platforms such as Virtual Machine (VM), Virtual Storage Extended (VSE), and Multiple Virtual Storage (MVS). In 1983, DB2 for MVS Version 1 was born. "DB2" was used to indicate a shift from hierarchical databases—such as the Information Management System (IMS) popular at the time—to the new relational databases. DB2 development continued on mainframe platforms as well as on distributed platforms.1Figure 1.1 shows some of the highlights of DB2 history.

    In 1996, IBM announced DB2 Universal Database (UDB) Version 5 for distributed platforms. With this version, DB2 was able to store all kinds of electronic data, including traditional relational data, as well as audio, video, and text documents. It was the first version optimized for the Web, and it supported a range of distributed platforms—for example, OS/2, Windows, AIX, HP-UX, and Solaris—from multiple vendors. Moreover, this universal database was able to run on a variety of hardware, from uniprocessor systems and symmetric multiprocessor (SMP) systems to massively parallel processing (MPP) systems and clusters of SMP systems.

    Even though the relational model to store data is the most prevalent in the industry today, the hierarchical model never lost its importance. In the past few years, due to the popularity of eXtensible Markup Language (XML), a resurgence in the use of the hierarchical model has taken place. XML, a flexible, self-describing language, relies on the hierarchical model to store data. With the emergence of new Web technologies, the need to store unstructured types of data, and to share and exchange information between businesses, XML proves to be the best language to meet these needs. Today we see an exponential growth of XML documents usage.

    IBM recognized early on the importance of XML, and large investments were made to deliver pureXML technology; a technology that provides for better support to store XML documents in DB2. After five years of development, the effort of 750 developers, architects, and engineers paid off with the release of the first hybrid data server in the market: DB2 9. DB2 9, available since July 2006, is a hybrid (also known as multi-structured) data server because it allows for storing relational data, as well as hierarchical data, natively. While other data servers in the market, and previous versions of DB2 could store XML documents, the storage method used was not ideal for performance and flexibility. With DB2 9's pureXML technology, XML documents are stored internally in a parsed hierarchical manner, as a tree; therefore, working with XML documents is greatly enhanced. In 2007, IBM has gone even further in its support for pureXML, with the release of DB2 9.5. DB2 9.5, the latest version of DB2, not only enhances and introduces new features of pureXML, but it also brings improvements in installation, manageability, administration, scalability and performance, workload management and monitoring, regulatory compliance, problem determination, support for application development, and support for business partner applications.

    DB2 is available for many platforms including System z (DB2 for z/OS) and System i (DB2 for i5/OS). Unless otherwise noted, when we use the term DB2, we are referring to DB2 version 9.5 running on Linux, UNIX, or Windows.

    DB2 is part of the IBM information management (IM) portfolio. Table 1.1 shows the different IM products available.

    Table 1.1. Information Management Products

    Information Management Products

    Description

    Product Offerings

    Data Servers

    Provide software services for the secure and efficient management of data and enable the sharing of information across multiple platforms.

    IBM DB2

    IBM IMS

    IBM Informix

    IBM U2

    Data Warehousing and Business Intelligence

    Help customers collect, prepare, manage, analyze, and extract valuable information from all data types to help them make faster, more insightful business decisions.

    DB2 Alphablox

    DB2 Cube Views

    DB2 Warehouse Edition

    DB2 Query Management Facility

    Enterprise Content Management & Discovery

    Manage content, process, and connectivity. The content includes both structured and unstructured data, such as e-mails, electronic forms, images, digital media, word processing documents, and Web content. Perform enterprise search and discovery of information.

    DB2 Content Manager

    DB2 Common Store

    DB2 CM OnDemand

    DB2 Records Manager

    FileNet P8 and its add-on suites

    OmniFind

    Information Integration

    Bring together distributed information from heterogeneous environments. Companies view their information as if it were all residing in one place.

    IBM Information Server integration software platform, consisting of:

  • - WebSphere Federation Server
  • - WebSphere Replication Server
  • - WebSphere DataStage
  • - WebSphere ProfileStage
  • - WebSphere QualityStage
  • - WebSphere Information Services Director
  • - WebSphere Metadata Server
  • - WebSphere Business Glossary
  • - WebSphere Data Event Publisher

  • Getting Started with Java and DB2 for OS/390: Using the Java Programming Language in Large-Scale Enterprise Databases | killexams.com real questions and Pass4sure dumps

    Getting Started with Java and DB2 for OS/390: Using the Java Programming Language in Large-Scale Enterprise Databases

    With the availability of Java stored procedures (delivered via APAR to DB2 Version 5 and Version 6 in the first quarter of 2000) for DB2 for OS/390, the era of portable, vendor-neutral, database programming will really be with us. This article looks at how you can use the Java programming language with DB2 for OS/390.

    Until very recently, writing applications that access databases had been a process of using an industry standard query language (SQL) surrounded by programming language statements and interface and definition statements. Moving these programs to other systems – to other databases – means, at best, a porting exercise, modifying programming language statements, updating definitions and so on. At worst, it means a complete rewrite of the programming statements and the definitions.

    Java is changing that and truly revolutionizing the face of many businesses. The unique properties of Java-developed programs promise technology liberation and platform independence that allows programmers to concentrate on business, rather than the technology problems.

    Java offers a simpler work environment where application interfaces are common across different platforms and different vendor products, not just across common systems. Java also gives programmers the ability to encapsulate business concepts and processes in individual components and groups or classes of components. This means they can build relatively complex applications from pre-constructed parts.

    Today’s Skills

    Of course, Java is more than just a cool technology. Recent surveys have shown that Java is being used in an ever-increasing number of business applications. A March 1999 study by GartnerGroup indicates that as much as 37 percent of all application programming in finance, banking and insurance businesses is being done with Java.

    Interestingly, the next biggest exploiter of Java is in higher education. Logically, graduates in computer-related subjects will be more inclined to look for positions in which they already have skills – Java. The more Java programmers, the more Java programs. The more programs, the higher the demand for Java programmers. The higher the demand for Java programmers, the faster Java will become the de facto enterprise application language and platform.

    DB2 Exploits of Java

    Along with CICS and IMS, DB2 is an early exploiter of the OS/390 "Java Everywhere" strategy.

    DB2 provides three complementary opportunities to exploit the Java programming language and to build and reuse Java components or Classes. The three ways you can use Java with DB2 are JDBC programs, SQLJ programs and stored procedures written in Java. Each of these program types has a different performance profile and different strengths, but all can exploit the portability and component benefits of Java. As you can see from the following examples, all three types of Java DB2 programs share common language, structure and semantics.

    Please note that in addition to the DB2 Java exploitation described here, you can make extensive use of JDBC and SQLJ from client programs running on distributed systems. This article, however, only looks at the DB2 exploitation of Java from OS/390-based applications.

    JDBC

    JDBC is a Java data interface standard that provides access to a wide range of relational databases. To deliver database-independent access in Java language, Java has included JDBC as a standard part of the Java platform. Virtually, all database vendors have adapted the JDBC specification into their database products, including DB2 for OS/390.

    JDBC enables Java programs to create sessions to databases, execute SQL statements and retrieve the results. The JDBC specification delivers a call-level SQL interface for Java, based on the X/Open SQL call-level interface specification. To confine SQL syntax and semantic diversities across database platforms, JDBC also sets minimum SQL conformance to the SQL92 entry-level SQL standard. This gives wide portability for applications designed to run on many platforms.

    The call-level interface limits operations to executing SQL statements and retrieving the results. A Java program can issue an SQL string to be processed by a database server at runtime. This mechanism also means dynamic compilation, plus privilege and authorization checks at runtime. It allows flexibility for the program to construct variable queries that are defined at runtime. This model is also known as the dynamic SQL model.

    As illustrated in Example 1, JDBC-based Java programs are compiled into Java byte code using the Javac compiler part of the Java Development Toolkit. They can then be executed in the OS/390 Java Virtual Machine (JVM), another part of the standard Java toolkit.

    To use DB2 JDBC, your program needs to include the java.sql package and invoke methods, according to the JDBC specification. On OS/390, the java.sql package is part of db2jdbcclasses.zip. The JDBC driver for DB2 for OS/390 has undergone a substantial revision to change it from a Type-1 driver, which is a bridge to ODBC calls, to a Type-2 driver, which gives substantial performance improvements to JDBC applications.

    You can see how the JDBC calls are made to retrieve this piece of data from one row of DB2 table "EMP." The setString JDBC method binds the local Java variable "name" to the parameter marker "?" in the prepared statement. Once the statement has been executed using the executeQuery() method, the result set needs to be accessed, and the result then has to be placed into the local Java variable "addr," via yet another JDBC method invocation. Then, the result set must manually be closed.

    SQLJ-Embedded SQL

    SQLJ complements and extends JDBC. It enables quicker development cycles through a more concise syntax, and safer code through more extensive pre-execution checking. In the following figure, you can see that SQLJ is subject to an additional step, the SQLJ Translator. The translator generates standard Java code with JDBC calls. The SQLJ statements are generally just SQL embedded directly into the Java source code.

    SQLJ was designed by a group of experts including team members from IBM, Oracle, Sun and Tandem. Like JDBC, SQLJ has been adopted by all the major database vendors. DB2 delivers SQLJ support that complies with the ANSI X.3.135 standard. DB2 SQLJ runs on top of DB2 JDBC drivers. It provides SQLJ Java classes, translator, runtime and customizing tools. The DB2 Java libraries are db2sqljclasses.zip and db2sqljruntime.zip.

    Prior to Java compilation, SQLJ programs first have to be processed by the SQLJ Translator. The resulting Java program is then compiled into Java byte code for execution in the OS/390 JVM.

    Comparing SQLJ and JDBC

    SQLJ contains static SQL statements; JDBC supports dynamic SQL statements. In a dynamic SQL model, an application may change any SQL statement during runtime, which offers flexibility. Note, however, that dynamic SQL statements require runtime compilation. This may catch some runtime errors. SQLJ, on the other hand, pre-compiles SQL statements before the program executes. It enforces strong type checking between Java data types and SQL data types. The pre-compiled static statements ensure that all SQL statements are verified against the database and will run. It reduces, therefore, total application maintenance costs.

    SQLJ syntax also is more concise than JDBC. SQLJ can embed Java variables into SQL statements. JDBC requires separate statements to bind variables using their position or column name.

    Developers often will find it more convenient to use SQLJ statements because bind processing provides data type and authorization checking. SQLJ separates the package owner from the package runner, providing better data manageability. JDBC programs can’t check user privileges until runtime.


    Best SQL Books | killexams.com real questions and Pass4sure dumps

    SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).

    So what are the top SQL books for today?

    SQL: The Complete Reference (Kindle — $33.21, paperback — $34.96)

    SQL: The Complete Reference, Third Edition shows you how to work with SQL commands and statements, set up relational databases, load and modify database objects, perform powerful queries, tune performance, and implement reliable security policies. Learn how to employ DDL statements and APIs, integrate XML and Java scripts, use SQL objects, build web servers, handle remote access, and perform distributed transactions. Techniques for managing in-memory, stream, and embedded databases that run on today’s mobile, handheld, and wireless devices are included in this in-depth volume.

  • Build SQL-based relational databases and applications;
  • Create, load, and modify database objects using SQL;
  • Construct and execute simple, multitable, and summary queries;
  • Implement security measures with authentication, privileges, roles, and views;
  • Handle database optimization, backup, recovery, and replication;
  • Work with stored procedures, functions, extensions, triggers, and objects;
  • Extend functionality using APIs, dynamic SQL, and embedded SQL;
  • Explore advanced topics such as DBMS transactions, locking mechanisms, materialized views, and two-phase commit protocol;
  • Understand the latest market trends and the future of SQL.
  • SQL in 10 Minutes, Sams Teach Yourself (Kindle — $14.39, paperback — $25.37)

    Whether you’re an application developer, database administrator, web application designer, mobile app developer, or Microsoft Office users, a good working knowledge of SQL is an important part of interacting with databases. And Sams Teach Yourself SQL in 10 Minutes offers the straightforward, practical answers you need to help you do your job.

    Expert trainer and popular author Ben Forta teaches you just the parts of SQL you need to know–starting with simple data retrieval and quickly going on to more complex topics including the use of joins, subqueries, stored procedures, cursors, triggers, and table constraints.

    You’ll learn methodically, systematically, and simply–in 22 short, quick lessons that will each take only 10 minutes or less to complete.

    With the Fourth Edition of this worldwide bestseller, the book has been thoroughly updated, expanded, and improved. Lessons now cover the latest versions of IBM DB2, Microsoft Access, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, SQLite, MariaDB, and Apache Open Office Base. And new full-color SQL code listings help the beginner clearly see the elements and structure of the language.  10 minutes is all you need to learn how to…

  • Use the major SQL statements;
  • Construct complex SQL statements using multiple clauses and operators;
  • Retrieve, sort, and format database contents;
  • Pinpoint the data you need using a variety of filtering techniques;
  • Use aggregate functions to summarize data;
  • Join two or more related tables;
  • Insert, update, and delete data;
  • Create and alter database tables;
  • Work with views, stored procedures, and more.
  • Learning SQL: Master SQL Fundamentals (Kindle — $17.27, paperback — $24.68)

    Updated for the latest database management systems — including MySQL 6.0, Oracle 11g, and Microsoft’s SQL Server 2008 — this introductory guide will get you up and running with SQL quickly. Whether you need to write database applications, perform administrative tasks, or generate reports, Learning SQL, Second Edition, will help you easily master all the SQL fundamentals.

    Each chapter presents a self-contained lesson on a key SQL concept or technique, with numerous illustrations and annotated examples. Exercises at the end of each chapter let you practice the skills you learn. With this book, you will:

  • Move quickly through SQL basics and learn several advanced features;
  • Use SQL data statements to generate, manipulate, and retrieve data;
  • Create database objects, such as tables, indexes, and constraints, using SQL schema statements;
  • Learn how data sets interact with queries, and understand the importance of subqueries;
  • Convert and manipulate data with SQL’s built-in functions, and use conditional logic in data statements.
  • SQL Queries for Mere Mortals: A Hands-On Guide to Data Manipulation in SQL (Kindle — $24.10, paperback — $31.89)

    Step by step, John L. Viescas and Michael J. Hernandez guide you through creating reliable queries for virtually any modern SQL-based database. They demystify all aspects of SQL query writing, from simple data selection and filtering to joining multiple tables and modifying sets of data.

    Three brand-new chapters teach you how to solve a wide range of challenging SQL problems. You’ll learn how to write queries that apply multiple complex conditions on one table, perform sophisticated logical evaluations, and think “outside the box” using unlinked tables.

    Coverage includes:

    — Getting started: understanding what relational databases are, and ensuring that your database structures are sound;

    — SQL basics: using SELECT statements, creating expressions, sorting information with ORDER BY, and filtering data using WHERE;

    — Summarizing and grouping data with GROUP BY and HAVING clauses;

    — Drawing data from multiple tables: using INNER JOIN, OUTER JOIN, and UNION operators, and working with subqueries;

    — Modifying data sets with UPDATE, INSERT, and DELETE statements Advanced queries: complex NOT and AND, conditions, if-then-else using CASE, unlinked tables, driver tables, and more.

    Practice all you want with downloadable sample databases for today’s versions of Microsoft Office Access, Microsoft SQL Server, and the open source MySQL database. Whether you’re a DBA, developer, user, or student, there’s no better way to master SQL.

    SQL Cookbook: Query Solutions and Techniques for Database Developers (Kindle — $17.99, paperback — $29.16)

    You know the rudiments of the SQL query language, yet you feel you aren’t taking full advantage of SQL’s expressive power. You’d like to learn how to do more work with SQL inside the database before pushing data across the network to your applications. You’d like to take your SQL skills to the next level.

    Let’s face it, SQL is a deceptively simple language to learn, and many database developers never go far beyond the simple statement: SELECT columns FROM table WHERE conditions. But there is so much more you can do with the language. In the SQL Cookbook, experienced SQL developer Anthony Molinaro shares his favorite SQL techniques and features. You’ll learn about:

  • Window functions, arguably the most significant enhancement to SQL in the past decade. If you’re not using these, you’re missing out;
  • Powerful, database-specific features such as SQL Server’s PIVOT and UNPIVOT operators, Oracle’s MODEL clause, and PostgreSQL’s very useful GENERATE_SERIES function;
  • Pivoting rows into columns, reverse-pivoting columns into rows, using pivoting to facilitate inter-row calculations, and double-pivoting a result set;
  • Bucketization, and why you should never use that term in Brooklyn;
  • How to create histograms, summarize data into buckets, perform aggregations over a moving range of values, generate running-totals and subtotals, and other advanced, data warehousing techniques;
  • The technique of walking a string, which allows you to use SQL to parse through the characters, words, or delimited elements of a string.
  • Written in O’Reilly’s popular Problem/Solution/Discussion style, the SQL Cookbook is sure to please. Anthony’s credo is: “When it comes down to it, we all go to work, we all have bills to pay, and we all want to go home at a reasonable time and enjoy what’s still available of our days.” The SQL Cookbook moves quickly from problem to solution, saving you time each step of the way.

    That’s all for today.

    If you enjoyed the post, please, hit the green recommend heart-shaped button and follow Level Up! publication for similar posts.

    You may also like:

    Best Swift Books In 2017

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