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000-611 exam Dumps Source : DB2 10.1 DBA for Linux UNIX and Windows

Test Code : 000-611
Test designation : DB2 10.1 DBA for Linux UNIX and Windows
Vendor designation : IBM
: 118 existent Questions

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IBM IBM DB2 10.1 DBA

The most efficient Database-as-a-provider options of 2018 | killexams.com existent Questions and Pass4sure dumps

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

after they dispute databases being consumed as cloud capabilities, we're speaking about database-as-a-service (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 isn't simplest with ease it subsist very bendy. It has most of the merits and downsides typical to different functions in the cloud, equivalent to improved impregnate controls on the one hand however more confined features than the on-premises option having said that. youngsters, it besides doubles as engine-trend software that powers a titanic array of other utility-as-a-provider (SaaS) apps, every thing from without delay-linked statistics visualization tackle to corporation-spanning enterprise useful resource planning (ERP) structures. but DBaaS is additionally an respond unto itself with professionals and cons unique to database functionalities.

benefits of DBaaS consist of reduce entry obstacles, better entry to technologies that were previously handiest in attain for giant corporations, and digitally indigenous expend situations reminiscent of cyber web of issues (IoT) statistics streaming, computing device researching (ML) working towards, and hybrid applications such as an adjunct to computing on the part.

negative aspects of DBaaS comprise the generic rigidity of databases, the complexity of data science, inflexibilities in integrations, network performance issues, and the complexity that comes with significant statistics transfers. if you're moving fine facts between your DBaaS issuer and some other web site, you are going to besides need to remove safety precautions, which could involve the relaxation from potent id administration protocols to implementing a digital deepest network (VPN). moreover, there are numerous kinds of DBaaS providers from those that accomplish nothing else to huge-scale cloud provider or web internet hosting suppliers for whom a database is just one service out of many. deciding upon the optimal company from among such a list competence sifting via an extended listing of variables, including cost, geographic proximity, support, and even the closing taks the database is intended to operate. everything of those boundaries can lead to the actual need for assistance from a database administrator (DBA) regardless of the claims of many DBaaS companies that their platforms are self-provider and user-friendly.

The final analysis is that data science isn't convenient, notwithstanding the database spin-up and configuration is computerized because it is to 1 degree or a different in DBaaS choices. but there are DBaaS products and functions which are less complicated to execute expend of than others, and some are certainly well inside the powers of simple builders and enterprise analysts.

I conducted the experiences during this roundup from the standpoint of developers and analysts, and to a lesser diploma, petite to midsize companies (SMBs) with few internal IT substances. The goal of this challenge was not to identify superiority from a strictly technical perspective, however to determine how neatly a regular person is likely to subsist capable of expend the service, devoid of the attend of a DBA, whereas still retaining the know-how's replete benefit. If the studies hold been finished in line with technical features alone, then the supplier rankings may were distinctive.

What 'convenient to use' basically competence in a DBaaS

As with some other SaaS providing, DBaaS is really software on someone else's servers. it truly is proper even in the regrettably named "serverless" fashions. The "effortless to execute expend of" consideration here applies to greater than simply whether or now not the consumer interface is consumer-friendly, but additionally to prerogative here:

  • whether guidance is offered on which database category or engine suits the data or workload,
  • How effortless it is to load and transfer records,
  • How a worthy deal of the server provisioning and service configuration is handled by means of ML and automation, and,
  • How plenty of the backup and recuperation system is automated.
  • If the consumer should execute a protracted checklist of choices with no concern to configure the database, then it's no longer in fact handy to execute expend of for non-DBAs no import what number of pull-down menus and rationalization packing containers the UI has. however, it can subsist effortless for DBAs to execute expend of and that's the understanding first-class, too, however for other purposes and a different ilk of review. In other words, for a DBaaS to subsist a stalwart self-provider platform, it must dispose of the need for a DBA to subsist palms-on with every Little user interaction.

    however, whether it is to subsist an alternative or hybrid add-on to an on-premises database and even a company's primary database (as is frequently the case with cloud-native companies), then being convenient for DBAs to expend and video parade should still subsist the basic concerns. for example, if your enterprise has been working an illustration of Microsoft's SQL Server on-premises for some years, and now opts to add an illustration of Microsoft's Azure SQL Database as a cloud-primarily based backup repository, then most of your end-users will not ever should handle that instance. in the equal vein, if the database's fundamental project should subsist to energy an additional app or workflow, then, once more, users may not frequently deserve to hold interaction with it at once. in any case, once a database is up and operating, users can employ tools similar to company intelligence (BI), developer, and DevOps apps to accomplish the travail they may subsist really drawn to. The database remains within the historical past for each one of these eventualities, and even superior users other than the DBA will hardly ever should handle it.

    That pointed out, ease of expend in this evaluate roundup includes the all spectrum of capabilities provided. The provider lets developers, analysts, and the occasional SMB regularly occurring tech person spin up databases on the fly, with few guidelines and Little extra handy than a credit card and a web-connected laptop.

    via these parameters, Microsoft Azure SQL Database is the easiest to use, with MongoDB Atlas coming in an in depth 2nd. determining which of these two Editors' option winners you need to expend can hold extra to accomplish together with your statistics's latest structure and the tasks you are working on than ease of use. IBM Db2 on Cloud is additionally handy to execute expend of, although there are a lot of developers who may beg to differ. lots of the griping centers on design restrictions for builders.

    companies don't appear to subsist equal in terms of the number of regions provided. Fewer alternate options could parade a drawback in some compliance eventualities with the eu Union's prevalent statistics insurance diagram regulation (GDPR). They additionally scope in helping compliance with other rules, with some nevertheless working on these concerns and others prerogative now coming on board. One case in factor: As of June 2018, MongoDB Atlas is now compliant with the medical health insurance Portability and Accountability Act (HIPAA).

    trying out types and the weight of regions

    The evaluation of each product contains notations on whether tribulation or free versions can subsist found and any boundaries that may additionally observe. as an example, MongoDB Atlas has a "free continually" edition with 512 MB of storage and shared random access recollection (RAM). IBM Db2 on Cloud has a free developer version with commerce features, however express-C, its free commerce version, lacks advanced enterprise facets. Paid versions vary less as they're most regularly pegged to storage and computing expend in station of to points. youngsters, or not it's crucial to observe which aspects and areas can subsist found within the a lot of models before you select one.

    definitely, if it would not hold advanced commercial enterprise elements similar to IBM Db2 on Cloud's categorical-C edition and you need those, then that version is never going to determine. Likewise, in case you hold issues with GDPR to address, or loads of users world wide and you really need to eradicate lag in your app, then Microsoft Azure SQL Database's extraordinary 50 regions world wide in 140 nations goes to import number as plenty as having more edition options does.

    As to your alternatives with reference to areas, MongoDB Atlas has 56. It makes respectable expend of the areas from Amazon net functions (AWS), Google Cloud, and Microsoft Azure considering it subsist hosted on everything three. And, counterintuitively, Google BigQuery got here in with the least number of regions.

    Being able to select the location station on your database is censorious for two explanations. First, on account of rules such as GDPR, you need to subsist inescapable about the station your data resides (even in the cloud), the station it strikes, and how it is used. Being capable of opt for the rectify location to your database is quintessential to staying GDPR-compliant, besides the fact that you don't hold any European Union (eu) client records or ecu worker statistics. a number of scenarios observe here.

    as an example, an worker may subsist American and as a consequence his records is unaffected through GDPR. His spouse may subsist European or American but their newborn can besides hold dual citizenship if she or he was born in Europe. So, insurance information on them is suffering from GDPR. therefore, even if the commerce has no eu customer or ecu employee records, it still finds itself desiring to subsist GDPR-compliant. That legislation is severely complicated. and there is another, even more complicated privacy legislation from the ecu coming down the pike. it subsist prudent, therefore, to understand precisely the station your records is and what's happening with and to it, whether or now not you feel you would not hold any eu individual statistics to subsist troubled about.

    The nearer your statistics and app are to at least one another, the greater the performance—which means, the shorter the lag and other issues. you will want to quest for alternatives to deploy your app within the identical data hub as your database or colocate your database subsequent to your app.

    types besides scope considerably between providers and additionally within a lone dealer's product lineup. Some are least expensive on the entrance conclusion but rack up fees through charging you for a variety of tackle and service improvements, similar to additional protection or backup and recuperation features. subsist mindful for that.

    For this overview roundup, I generally used mid-tier-priced test money owed that hold been installation through the carriers in station of the more restrained tribulation or free-tier types. from time to time I transferred my very own quest at various facts and sometimes I loaded seller test statistics or labored with their preloaded statistics sets. in many situations, companies offered credits to subsist positive I may fully quest at various their systems. occasionally, I verified free developer editions, as I did with SAP Cloud Platform, SAP HANA provider because these are always full-featured ones. In each case, the version I proven is referred to in every assessment writeup.

    SQL or NoSQL?

    yet another component making direct comparisons greater tricky in this assessment roundup is in the sorts of databases. As everything records gurus know, SQL handles structured records and NoSQL is for unstructured statistics, though that titanic disagreement likely is never obtrusive to time-honored clients. An illustration of structured facts is a spreadsheet whereas an case of unstructured information is the Twitter feed firehose. SQL databases are continually referred to as relational databases whereas NoSQL databases are known as nonrelational ones.

    besides the fact that children, when it involves DBaaS, the alternatives are greater assorted than simply making a structured versus unstructured statistics determination. as an example, MongoDB Atlas, which is open-source NoSQL, runs on different branded cloud features similar to AWS, Google, and Microsoft clouds. Some providers will e-book you during the maze of options for the understanding that their branded DBaaS capabilities present other product alternatives for different database varieties.

    as an instance, IBM Db2 on Cloud is SQL, but it will funnel clients at the outset to Cloudant, an IBM NoSQL DBaaS product, or to open-supply databases, equivalent to MongoDB on IBM, as the uploaded facts dictates. it really is incredibly constructive to these with few facts science capabilities or restricted realizing.

    In each and every review, I word even if the DBaaS product is SQL or NoSQL and even if other database alternatives are available within the product lineup. With most features, you'll deserve to comprehend from the outset what class of database you need. With a valuable few, equivalent to IBM Db2 on Cloud, the onboarding procedure will ebook you to the preempt database.

    right here's a quick rule of thumb: if you're working with desktop-readable facts, then you definately want SQL. believe spreadsheets and IoT data. If it subsist human thoughts or expressions, then you definately need NoSQL. deem convivial media, video facts, and audio facts. subsist forewarned that once in a while the app will propel you a technique, constantly widespread of SQL. however from time to time conclusion dreams will propel you a different method: NoSQL scales greater, quicker.

    ultimately, remove into account that ML assists are greater than flogging the statistics for your personal. ML usher is famed within the reports as well.

  • execs: function-prosperous. convenient to execute expend of. a big variety of regions for more GDPR-compliance options. No app breakage in transfers. laptop discovering-primarily based auto-tuning ability. Can expend older SQL functions courting back to 2005.

    Cons: rectify for structured information only since the database is SQL. wonderful for advanced queries but unsuitable for messy, human conversation statistics.

    bottom line: Microsoft Azure SQL Database is a brilliant Database-as-a-service (DBaaS) solution for developers, enterprise analysts, and database directors given its ease of expend and exemplary controls.

    examine evaluation
  • pros: effortless to use. Open source with efficient scaling, sharding, serverless, and computer discovering capabilities.

    Cons: or not it's NoSQL, which is often unsuitable for complicated 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 fundamental consumer interface, extra automation than most Database-as-a-carrier (DBaaS) options, a all bunch flexibility and controls, constructed-in replication, and zero lock-in.

    read review
  • execs: ample and robust. offers clients with a all lot of controls. Very safety mindful.

    Cons: complicated to installation and circulate records. Requires assist from a database administrator and a network skilled for setup. costly.

    base line: Amazon Relational Database provider is never a amateur-pleasant Database-as-a-service (DBaaS) solution, however with the prerogative authorities helping you out, or not it's a fine relational database carrier.

    examine review
  • professionals: staggering for massive records initiatives. bendy statistics ingestion. quickly analysis. Integrates neatly with nearly any classification of information.

    Cons: constructed for big records so it subsist overkill for petite records sets. complicated SQL dialects. Unwieldy prices without rectify consideration to device expend and automated scaling. Flat expense pricing works improved.

    base line: Google BigQuery is a pretty ample Database-as-a-provider (DBaaS) respond for cloud indigenous groups and any one working with desktop getting to know software development or dealing with huge sets.

    examine assessment
  • execs: enormously handy records migration and setup. smartly designed.

    Cons: Fewer station options, which might besides hold an sequel on your performance and compliance necessities depending on what you're doing with the database.

    bottom line: IBM Db2 on Cloud is a dream Database-as-a-service (DBaaS) solution for builders and company analysts as a result of they can expend it with out the suggestions of a database administrator, even with minimal talents.

    examine assessment
  • pros: first-rate for HANA users and titanic facts developers. sure, that capacity web of issues, laptop discovering, and Java, too.

    Cons: Having two diverse developer environments is perplexing and probably restrictive.

    base line: SAP Cloud Platform, SAP HANA service needs to mature, nevertheless it's nevertheless a powerful and pleasing Database-as-a-carrier (DBaaS) respond with many crucial capabilities.

    read evaluate

  • IBM DB2 Will goal Oracle Database developers | killexams.com existent Questions and Pass4sure dumps

    information

    IBM DB2 Will goal Oracle Database builders
  • by using Jeffrey Schwartz
  • 04/24/09
  • IBM this week introduced a current version of its flagship DB2 database with application for you to give compatibility with purposes developed for Oracle databases.

    Embedded in IBM's imminent DB2 9.7, code-named "Cobra" and slated for free up in June, is software that gives compatibility with EnterpriseDB Corp.'s Postgres Plus advanced Server database, which supports everything Oracle data kinds, SQL syntax, semantics and other purposes developed with Oracle PL/SQL kept strategies. Postgres advanced Server is built on the open source PostgreSQL database.

    "The set of applied sciences we've delivered will advocate developers of custom applications and packaged purposes install to DB2," pointed out Bernie Spang, director of method, analytics and records administration for IBM's utility group.

    For IBM, or not it's the primary time the enterprise has licensed expertise from a provider of open supply database application, notwithstanding EnterpriseDB founder Andy Astor pointed out the application embedded in DB2 is in line with proprietary code.

    "here is not an open source play," Astor noted. "everything else they accomplish is open supply but that is without doubt one of the techniques they execute their funds, by selling that compatibility expertise each to providers enjoy IBM, in this case, and to users within the variety of Postgres Plus advanced Server."

    EnterpriseDB facets to a number of consumers including FTD and Sony on-line amusement which hold migrated functions developed for Oracle databases to Postgres Plus. The contend with IBM "offers them with proven performance for enabling compatibility between DB2 and functions written for Oracle," said 451 community analyst Matthew Aslett in an electronic mail.

    "Database migrations are complex, time-ingesting, expensive and rare, so any performance that makes the process easier goes to subsist welcomed by means of those agencies which are organized to execute the leap," he introduced.

    The licensing pact is the first by EnterpriseDB, but Astor said others are being negotiated.

    IBM is hoping the circulation will motivate greater consumers emigrate to its InfoSphere Warehouse 9.7 commercial enterprise edition, a data-cleaning and enterprise analytics platform in accordance with DB2 and technology IBM bought from Cognos.

    the brand current liberate is focused at bringing facts mining, analytics and cubing to departments of enterprises and smaller corporations, Spang said. additionally current in DB2 is attend for performing simultaneous transactions throughout XML and relational data.

    concerning the creator

    Jeffrey Schwartz is govt editor, features, for Redmond Developer information. you can contact him at jschwartz@reddevnews.com.


    IBM offers Away DB2 | killexams.com existent Questions and Pass4sure dumps

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    000-611 exam Dumps Source : DB2 10.1 DBA for Linux UNIX and Windows

    Test Code : 000-611
    Test designation : DB2 10.1 DBA for Linux UNIX and Windows
    Vendor designation : IBM
    : 118 existent Questions

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    Enhanced Progress® DataDirect Connect® and DataDirect Connect XE for JDBC vaunt Performance Gains and Cloud Connection | killexams.com existent questions and Pass4sure dumps

    BEDFORD, Mass.--(BUSINESS WIRE)--Progress Software Corporation (NASDAQ: PRGS), a global software company that simplifies and enables the development and deployment of commerce applications, today announced the release of DataDirect Connect® for JDBC 5.1 and DataDirect Connect® XE for JDBC 5.1. Both offerings enable fast, secure, and highly scalable connectivity for a broad spectrum of data sources, which now comprise cloud databases such as Microsoft SQL Azure™, IBM DB2 10.1, IBM DB2 pureScale 9.8, and Microsoft SQL Server 2012. This ilk of connectivity exemplifies Progress Software’s goal to attend companies better access their data whether on premise, or in the cloud.

    In today’s fast-paced world, organizations are looking for better ways to enhance customer experiences and analyze available data for more focused revenue opportunities. Crucial to that success is highly efficient and performant data connectivity across a wide variety of data sources, both on-premise and in the cloud. The improved DataDirect® JDBC drivers manipulate communications and recollection usage in a novel passage – resulting in significant increases in both performance and efficiency. recollection and CPU usage is reduced overall while throughput levels are raised, which translates into reduced operating costs.

    In addition to these advances in high-performance SQL access using JDBC, the current releases of the DataDirect Connect drivers comprise the following features:

  • Cloud database connectivity, with high-performance advocate for the Microsoft SQL Azure database, enabling efficient SQL access to Microsoft’s relational database service in the cloud.
  • Expanded database coverage, with advanced advocate and certification:
  • IBM DB2 10.1 for Linux, UNIX, and Windows, including SQL enhancements and advocate for Time Travel Queries
  • IBM DB2 pureScale 9.8
  • Microsoft SQL Server 2012, including SQL enhancements and protocol upgrade.
  • Expanded indigenous database security for Oracle Advanced Security (OAS), including advocate for ten additional encryption algorithms.
  • Progress Software is the software industry’s leading comprehensive provider of software for connecting the world’s most censorious commerce applications to data and services, running on any platform, using proven and emerging standards. Developers worldwide depend on DataDirect products to connect their applications to an unparalleled scope of data sources using standards-based interfaces such as ODBC, JDBC and ADO.NET, XQuery and SOAP. More than 300 leading independent software vendors and thousands of enterprises reliance on Progress Software to simplify and streamline data connectivity for distributed systems and to reduce the complexity of mainframe integration.

    Quotes:

    “Building elevated performing applications is an knack form, and many developers and commerce managers don’t realize the significant repercussion the JDBC driver has on the performance of the application. This release provides performance gains in raw accelerate and throughput coupled with continued reduction of recollection and CPU usage per unit of work,” said Michael Benedict, vice president and commerce line manager, Progress DataDirect. “It besides further widens the performance handicap that their drivers provide over others on the market. Enterprise’s using Progress DataDirect connectivity solutions contemplate greater performance, scalability, and reliability—all with increased enterprise security.”

    About Progress Software Corporation

    Progress Software Corporation (NASDAQ: PRGS) simplifies the development, deployment and management of commerce applications on-premise or on any Cloud, on any platform and on any device with minimal IT complexity and low total cost of ownership. Progress Software can subsist reached at www.progress.com or 1-781-280-4000.

    Follow Progress Software on Twitter: @ProgressSW

    Follow Progress DataDirect on Twitter: @DataDirect_News

    Progress and DataDirect are trademarks or registered trademarks of Progress Software Corporation or one of its subsidiaries or affiliates in the U.S. and other countries. Any other names contained herein may subsist trademarks of their respective owners.


    Seven Surprising Findings About DB2 | killexams.com existent questions and Pass4sure dumps

    I’ve just completed IBM DB2 for Linux, Unix and Windows (LUW) coverage here on expend The Index, Luke as preparation for an upcoming training I’m giving. This blog post describes the major differences I’ve found compared to the other databases I’m covering (Oracle, SQL Server, PostgreSQL and MySQL).

    Free & Easy

    Well, let’s face it: it’s IBM software. It has a pretty long history. You would probably not expect that it is effortless to install and configure, but in fact: it is. At least DB2 LUW Express-C 10.5 (LUW is for Linux, Unix and Windows, Express-C is the free community edition). That might subsist another surprise: there is a free community edition. It’s not open source, but it’s free as in free beer.

    No effortless Explain

    The first problem I stumbled upon is that DB2 has no effortless passage to parade an execution plan. No kidding. Here is what IBM says about it:

  • Explain a statement by prefixing it with clarify diagram for

    This stores the execution diagram in a set of tables in the database (you’ll need to create these tables first). This is pretty much enjoy in Oracle.

  • Display a stored clarify diagram using db2exfmt

    This is a command line tool, not something you can plunge from an SQL prompt. To elope this instrument you’ll need shell access to a DB2 installation (e.g. on the server). That means, that you cannot expend this instrument over an regular database connection.

  • There is another command line instrument (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you merit an ASCII art:

    Access Plan: ----------- Total Cost: 60528.3 Query Degree: 1 Rows RETURN ( 1) Cost I/O | 49534.9 ^HSJOIN ( 2) 60528.3 68095 /-----+------\ 49534.9 10000 TBSCAN TBSCAN ( 3) ( 4) 59833.6 687.72 67325 770 | | 1.00933e+06 10000 TABLE: DB2INST1 TABLE: DB2INST1 SALES EMPLOYEES Q2 Q1

    Please note that this is just an excerpt—the replete output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you need everything the time (the operations) is presented in a pretty unreadable passage (IMHO). I’m particularly thankful that everything the numbers you contemplate above are not labeled—that’s really the icing that renders this “tool” totally useless for the occasional user.

    However, according to the IBM documentation there is another passage to parade an execution plan: “Write your own queries against the clarify tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s designation suggest: it shows the execution diagram of the ultimate statement that was explained (in a non-useless formatting):

    Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | recur | | 60528 2 | HSJOIN | 49535 of 10000 | 60528 3 | TBSCAN SALES | 49535 of 1009326 ( 4.91%) | 59833 4 | TBSCAN EMPLOYEES | 10000 of 10000 (100.00%) | 687 Predicate Information 2 - join (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) join (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain diagram by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained

    I’m pretty positive many DB2 users will affirm that this presentation of the execution diagram is confusing. And that’s OK. If you are used to the passage IBM presents execution plans, just stick to what you are used to. However, I’m working with everything kinds of databases and they everything hold a passage to parade the execution diagram similar to the one shown above—for me this format is much more useful. Further, I’ve made a useful selection of data to display: the row import estimates and the predicate information.

    You can merit the source of the last_explained view from here or from GitHub (direct download). I’m solemn about the no warranty part. Yet I’d enjoy to know about problems you hold with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing everything table rows. They are useful in three cases:

  • To preserve space when the index is only useful for a very petite fraction of the rows. Example: queue tables.

  • To establish a specific row order in presence of constant non-equality predicates. Example: WHERE x IN (1, 5, 9) ORDER BY y. An index enjoy the following can subsist used to avoid a sort operation:

    CREATE INDEX … ON … (y) WHERE x IN (1, 5, 9)
  • To implement unique constraints on a subset of rows (e.g. only those WHERE dynamic = 'Y').

  • However, DB2 doesn’t advocate a where clause for indexes enjoy shown above. But DB2 has many Oracle-compatibility features, one of them is EXCLUDE NULL KEYS: “Specifies that an index entry is not created when everything parts of the index key hold the null value.” This is actually the hard-wired behaviour in the Oracle database and it is commonly exploited to emulate partial indexes in the Oracle database.

    Generally speaking, emulating partial indexes works by mapping everything parts of the key (all indexed columns) to NULL for rows that should not terminate up in the index. As an example, let’s emulate this partial index in the Oracle database (DB2 is next):

    CREATE INDEX messages_todo ON messages (receiver) WHERE processed = 'N'

    The solution presented in SQL Performance Explained uses a role to map the processed rows to NULL, otherwise the receiver value is passed through:

    CREATE OR REPLACE FUNCTION pi_processed(processed CHAR, receiver NUMBER) RETURN NUMBER DETERMINISTIC AS BEGIN IF processed IN ('N') THEN recur receiver; ELSE recur NULL; terminate IF; END; /

    It’s a deterministic role and can thus subsist used in an Oracle function-based index. This won’t travail with DB2, because DB2 doesn’t allow user defined-functions in index definitions. However, let’s first complete the Oracle example.

    CREATE INDEX messages_todo ON messages (pi_processed(processed, receiver));

    This index has only rows WHERE processed IN ('N')—otherwise the role returns NULL which is not set in the index (there is no other column that could subsist non-NULL). Voilà: a partial index in the Oracle database.

    To expend this index, just expend the pi_processed role in the where clause:

    SELECT message FROM messages WHERE pi_processed(processed, receiver) = ?

    This is functionally equivalent to:

    SELECT message FROM messages WHERE processed = 'N' AND receiver = ?

    So far, so ugly. If you retreat for this approach, you’d better need the partial index desperately.

    To execute this approach travail in DB2 they need two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a passage to map processed rows to NULL without using a user-defined role so it can subsist used in a DB2 index.

    Although the second one might appear to subsist hard, it is actually very simple: DB2 can accomplish expression based indexing, just not on user-defined functions. The mapping they need can subsist accomplished with regular SQL expressions:

    CASE WHEN processed = 'N' THEN receiver ELSE NULL END

    This implements the very same mapping as the pi_processed role above. bethink that CASE expressions are first class citizens in SQL—they can subsist used in DB2 index definitions (on LUW just since 10.5):

    CREATE INDEX messages_not_processed_pi ON messages (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) EXCLUDE NULL KEYS;

    This index uses the CASE expression to map not to subsist indexed rows to NULL and the EXCLUDE NULL KEYS feature to preclude those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.

    To expend the index, just expend the CASE expression in the where clause and check the execution plan:

    SELECT * FROM messages WHERE (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) = ?; Explain Plan ------------------------------------------------------- ID | Operation | Rows | Cost 1 | recur | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)

    Oh, that’s a titanic disappointment: the optimizer didn’t remove the index. It does a replete table scan instead. What’s wrong?

    If you hold a very close quest at the execution diagram above, which I created with my last_explained view, you might contemplate something suspicious.

    Look at the predicate information. What happened to the CASE expression that they used in the query? The DB2 optimizer was smart enough rewrite the expression as WHERE processed = 'N' AND receiver = ?. Isn’t that great? Absolutely!…except that this smartness has just ruined my attempt to expend the partial index. That’s what I meant when I said that CASE expressions are first class citizens in SQL: the database has a pretty ample understanding what they accomplish and can transform them.

    We need a passage to apply their magic NULL-mapping but they can’t expend functions (can’t subsist indexed) nor can they expend CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty effortless to toss an optimizer. everything you need to accomplish is to obfuscate the CASE expression so that the optimizer doesn’t transform it anymore. Adding zero to a numeric column is always my first attempt in such cases:

    CASE WHEN processed = 'N' THEN receiver + 0 ELSE NULL END

    The CASE expression is essentially the same, I’ve just added zero to the RECEIVER column, which is numeric. If I expend this expression in the index and the query, I merit this execution plan:

    ID | Operation | Rows | Cost 1 | recur | | 13071 2 | FETCH MESSAGES | 40000 of 40000 | 13071 3 | RIDSCN | 40000 of 40000 | 1665 4 | SORT (UNQIUE) | 40000 of 40000 | 1665 5 | IXSCAN MESSAGES_NOT_PROCESSED_PI | 40000 of 999999 | 1646 Predicate Information 2 - SARG ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL terminate = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL terminate = ?) stop ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL terminate = ?)

    The partial index is used as intended. The CASE expression appears unchanged in the predicate information section.

    I haven’t checked any other ways to emulate partial indexes in DB2 (e.g., using partitions enjoy in more recent Oracle versions).

    As always: just because you can accomplish something doesn’t weigh in you should. This approach is so ugly—even more repulsive than the Oracle workaround—that you must desperately need a partial index to warrant this maintenance nightmare. Further it will stop working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just need set an even more repulsive obfuscation in there.

    INCLUDE Clause Only for Unique Indexes

    With the comprise clause you can add extra columns to an index for the sole purpose to allow in index-only scan when these columns are selected. I knew the comprise clause before because SQL Server offers it too, but there are some differences:

  • In SQL Server comprise columns are only added to the leaf nodes of the index—not in the root and fork nodes. This limits the repercussion on the B-tree’s depth when adding many or long columns to an index. This besides allows to bypass some limitations (number of columns, total index row length, allowed data types). That doesn’t appear to subsist the case in DB2.

  • In DB2 the comprise clause is only sound for unique indexes. It allows you to invoke the uniqueness of the key columns only—the comprise columns are just not considered when checking for uniqueness. This is the same in SQL Server except that SQL Server supports comprise columns on non-unique indexes too (to leverage the above-mentioned benefits).

  • Almost No NULLS FIRST/LAST Support

    The NULLS FIRST and NULLS ultimate modifiers to the order by clause allow you to specify whether NULL values are considered as larger or smaller than non-NULL values during sorting. Strictly speaking, you must always specify the desired order when sorting nullable columns because the SQL criterion doesn’t specify a default. As you can contemplate in the following chart, the default order of NULL is indeed different across various databases:

    Figure A.1. Database/Feature Matrix

    In this chart, you can besides contemplate that DB2 doesn’t advocate NULLS FIRST or NULLS LAST—neither in the order by clause no in the index definition. However, note that this is a simplified statement. In fact, DB2 accepts NULLS FIRST and NULLS ultimate when it is in line with the default NULLS order. In other words, ORDER BY col ASC NULLS FIRST is valid, but it doesn’t change the result—NULLS FIRST is anyways the default. same is exact for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not sound at everything and succumb a syntax error.

    SQL:2008 FETCH FIRST but not OFFSET

    DB2 supports the fetch first … rows only clause for a while now—kind-of impressive considering it was “just” added with the SQL:2008 standard. However, DB2 doesn’t advocate the offset clause, which was introduced with the very same release of the SQL standard. Although it might quest enjoy an whimsical omission, it is in fact a very sane trek that I deeply respect. offset is the root of so much evil. In the next section, I’ll clarify how to live without offset.

    Side node: If you hold code using offset that you cannot change, you can still activate the MySQL compatibility vector that makes circumscribe and offset available in DB2. comical enough, combining fetch first with offset is then still not workable (that would subsist criterion compliant).

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to form a lone logical value. IN-lists are a common use-case:

    WHERE (col_a, col_b) IN (SELECT col_a, col_b FROM…)

    This is supported by pretty much every database. However, there is a second, hardly known use-case that has pretty penniless advocate in today’s SQL databases: key-set pagination or offset-less pagination. Keyset pagination uses a where clause that basically says “I’ve seen everything up till here, just give me the next rows”. In the simplest case it looks enjoy this:

    SELECT … FROM … WHERE time_stamp < ? ORDER BY time_stamp DESC FETCH FIRST 10 ROWS ONLY

    Imagine you’ve already fetched a bunch of rows and need to merit the next few ones. For that you’d expend the time_stamp value of the ultimate entry you’ve got for the bind value (?). The query then just recur the rows from there on. But what if there are two rows with the very same time_stamp value? Then you need a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the station till where you hold the result. This is where row-value predicates near in:

    SELECT … FROM … WHERE (time_stamp, id) < (?, ?) ORDER BY time_stamp DESC, id DESC FETCH FIRST 10 ROWS ONLY

    The order by clause is extended to execute positive there is a well-defined order if there are equal time_stamp values. The where clause just selects what’s after the row specified by the time_stamp and id pair. It couldn’t subsist any simpler to express this selection criteria. Unfortunately, neither the Oracle database nor SQLite or SQL Server understand this syntax—even though it’s in the SQL criterion since 1992! However, it is workable to apply the same logic without row-value predicates—but that’s rather inconvenient and effortless to merit wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates ample enough to execute proper expend of indexes that advocate the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the prerogative result, it does not expend an index for that and is thus rather slow. In the end, DB2 LUW (since 10.1) and PostgreSQL (since 8.4) are the only two databases that advocate row-value predicates in the passage it should be.

    The fact that DB2 LUW has everything you need for convenient keyset pagination is besides the understanding why there is absolutely no understanding to complain about the missing offset functionality. In fact I deem that offset should not hold been added to the SQL criterion and I’m blissful to contemplate a vendor that resisted the prod to add it because its became share of the standard. Sometimes the criterion is wrong—just sometimes, not very often ;) I can’t change the standard—all I can accomplish is teaching how to accomplish it prerogative and start campaigns enjoy #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you enjoy my passage of explaining things, you’ll reliance for my reserve “SQL Performance Explained”.


    Department of Energy Invests $28 Million to promote Cybersecurity of the Nation’s censorious Energy Infrastructure | killexams.com existent questions and Pass4sure dumps

    Funding to advocate the Creation of More Resilient Energy Delivery Systems

    WASHINGTON, D.C. –  Today, the U.S. Department of Energy (DOE) is announcing awards of up to $28 million to advocate the research, development, and demonstration (RD&D) of next-generation tools and technologies to better the cybersecurity and resilience of the Nation's censorious energy infrastructure, including the electric grid and oil and natural gas infrastructure. With funding provided by the Office of Cybersecurity, Energy Security, and Emergency Response’s (CESER) Cybersecurity for Energy Delivery Systems (CEDS) Division, research partnerships will create and execute available innovative technologies that attend prevent, detect, and mitigate cyber attacks. The teams will pursue innovative approaches such as redesigning the current architecture that exposes the energy grid to cyber threats so that existing and future energy delivery systems can detect adversarial actions and reconcile to survive while continuing to advocate censorious functions.

    “Protecting the Nation’s energy delivery systems from cyber-threats is a top national priority,” said U.S. Secretary of Energy Rick Perry. “These awards will spur the next smooth of innovation needed to promote cyber resilience, ensuring that the Nation’s censorious energy infrastructure can withstand potential cyber attacks while besides still keeping the lights on.”

    Each awarded project has a transparent path to develop technology that will meet the energy sector’s stringent operational requirements of energy delivery systems that reduce cyber risks. These awarded projects promote the strategy articulated in the DOE Multiyear diagram for Energy Sector Cybersecurity to reduce cyber risks by pursuing high-priority activities that are coordinated with other DOE offices, across Federal agencies, and with energy owners and operators as well as key energy stakeholders in the private sector. A circumstantial list of the eleven projects is available HERE. Final award amounts are topic to negotiation.

    To date, the CEDS program has developed and transitioned 35 technologies to the energy sector by partnering with industry, cybersecurity vendors, academia, and National Laboratories as highlighted in the report CEDS R&D: From Innovation to exercise – Redesigning Energy Delivery Systems to Survive Cyber Attacks. Today’s investment continues DOE's long history of working closely with public and private partners to promote the shared vision of resilient energy delivery systems that are designed, installed, operated and maintained to survive a cyber incident while sustaining censorious functions.

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    Operations & Process Management: Principles & Practice for Strategic ImpactOperations & Process Management: Principles & Practice for Strategic Impact
    By Nigel Slack, Alistair Jones
    Publisher : Pearson (Feb 2018)
    ISBN10 : 129217613X
    ISBN13 : 9781292176130
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    Subject : Business & Economics
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    Computer Security: Principles and PracticeComputer Security: Principles and Practice
    By William Stallings, Lawrie Brown
    Publisher : Pearson (Aug 2017)
    ISBN10 : 0134794109
    ISBN13 : 9780134794105
    Our ISBN10 : 1292220619
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    Subject : Computer Science & Technology
    Price : $65.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
    ISBN13 : 9781260465426
    Our ISBN10 : 1260084493
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    Subject : Business & Economics
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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 0078021782
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    Our ISBN10 : 1260084493
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
    ISBN13 : 9781260211108
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (May 2018)
    ISBN10 : 1260682137
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    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
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    Subject : Business & Economics
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    Publisher : McGraw-Hill (Feb 2017)
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    Subject : Business & Economics, Communication & Media
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