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000-611 DB2 10.1 DBA for Linux UNIX and Windows

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

Test Code : 000-611
Test title : DB2 10.1 DBA for Linux UNIX and Windows
Vendor title : IBM
real questions : 118 real Questions

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IBM DB2 10.1 DBA for

IBM Db2 question Optimization using AI | killexams.com real Questions and Pass4sure dumps

In September 2018, IBM introduced a fresh product, IBM Db2 AI for z/OS. This synthetic intelligence engine monitors statistics entry patterns from executing SQL statements, uses computing device discovering algorithms to resolve upon most fulfilling patterns and passes this counsel to the Db2 query optimizer for utilize by means of subsequent statements.

laptop getting to know on the IBM z Platform

In may likewise of 2018, IBM announced version 1.2 of its machine gaining learning of for z/OS (MLz) product. here's a hybrid zServer and cloud software suite that ingests efficiency data, analyzes and builds models that symbolize the fitness repute of various indications, monitors them over time and provides true-time scoring capabilities.

a few elements of this product providing are aimed at assisting a community of model builders and managers. for instance:

  • It supports numerous programming languages akin to Python, Scala and R. This allows for statistics modelers and scientists to get utilize of a language with which they are general;
  • A graphical consumer interface referred to as the visible mannequin Builder guides model developers without requiring totally-technical programming abilities;
  • It includes distinctive dashboards for monitoring model results and scoring functions, in addition to controlling the device configuration.
  • This machine getting to know suite become at first geared toward zServer-based analytics functions. one of the first obvious choices become zSystem efficiency monitoring and tuning. paraphernalia management Facility (SMF) data that are instantly generated by the working paraphernalia supply the raw statistics for paraphernalia aid consumption comparable to critical processor usage, I/O processing, reminiscence paging and so on. IBM MLz can assemble and store these records over time, and build and train models of device behavior, ranking those behaviors, determine patterns no longer effortlessly foreseen by means of people, expand key efficiency warning signs (KPIs) and then feed the mannequin outcomes returned into the device to believe an result on system configuration changes that can enrich performance.

    The next step was to implement this suite to resolve Db2 efficiency statistics. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) reply template, applies the computing device studying know-how to Db2 operational data to gain an realizing of Db2 subsystem fitness. it might dynamically build baselines for key performance symptoms, supply a dashboard of these KPIs and provides operational personnel true-time insight into Db2 operations.

    while regularly occurring Db2 subsystem efficiency is a vital ingredient in simple utility health and performance, IBM estimates that the DBA aid cadaver of workers spends 25% or greater of its time, " ... fighting access route issues which cause efficiency degradation and service believe an result on.". (See Reference 1).

    AI involves Db2

    agree with the plight of modern DBAs in a Db2 ambiance. In trendy IT world they believe to assist one or extra colossal data purposes, cloud application and database services, utility setting up and configuration, Db2 subsystem and application performance tuning, database definition and administration, catastrophe healing planning, and greater. question tuning has been in being due to the fact the origins of the database, and DBAs are continually tasked with this as neatly.

    The coronary heart of query route analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the statistics, reviews the places of the objects to subsist accessed and develops an inventory of candidate information entry paths. These entry paths can include indexes, table scans, numerous table subsist fragment of strategies and others. within the records warehouse and massive records environments there are usually further selections attainable. One of those is the being of summary tables (now and again called materialized query tables) that include pre-summarized or aggregated information, for that understanding enabling Db2 to preserve away from re-aggregation processing. a different option is the starjoin entry path, simple in the data warehouse, where the order of desk joins is changed for efficiency explanations.

    The Optimizer then studies the candidate access paths and chooses the access path, "with the bottom can charge." cost in this context means a weighted summation of resource usage including CPU, I/O, reminiscence and other substances. ultimately, the Optimizer takes the lowest pervade access route, retailers it in reminiscence (and, optionally, in the Db2 listing) and begins access direction execution.

    massive statistics and records warehouse operations now encompass software suites that enable the industry analyst to utilize a graphical interface to build and manipulate a miniature facts mannequin of the facts they requisite to analyze. The applications then generate SQL statements according to the clients’ requests.

    The issue for the DBA

    so as to attain respectable analytics for your numerous information shops you want a superb figuring out of the statistics requirements, an realizing of the analytical functions and algorithms attainable and a excessive-performance records infrastructure. regrettably, the quantity and placement of statistics sources is increasing (both in dimension and in geography), records sizes are transforming into, and purposes proceed to proliferate in number and complexity. How should soundless IT managers guide this ambiance, exceptionally with probably the most experienced and age cadaver of workers nearing retirement?

    be mindful additionally that a large fragment of reducing the full can pervade of ownership of those methods is to rate Db2 purposes to race sooner and greater efficaciously. This constantly translates into using fewer CPU cycles, doing fewer I/Os and transporting less statistics across the community. because it's often tricky to even identify which applications could profit from performance tuning, one way is to automate the detection and correction of tuning concerns. here's the site computer discovering and synthetic intelligence will likewise subsist used to terrific impact.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 edition 12 on z/OS makes utilize of the computing device gaining learning of amenities mentioned above to collect and store SQL query textual content and entry route details, as well as precise efficiency-related ancient information such as CPU time used, elapsed instances and influence set sizes. This offering, described as Db2 AI for z/OS, analyzes and outlets the information in computer learning models, with the mannequin analysis consequences then being scored and made purchasable to the Db2 Optimizer. The subsequent time a scored SQL observation is encountered, the Optimizer can then utilize the mannequin scoring information as enter to its access path option algorithm.

    The result should subsist a reduction in CPU consumption because the Optimizer makes utilize of mannequin scoring input to elect improved entry paths. This then lowers CPU prices and speeds application response instances. a significant competencies is that the utilize of AI utility does not require the DBA to believe statistics science learning or abysmal insights into question tuning methodologies. The Optimizer now chooses the premiere entry paths based mostly now not best on SQL query syntax and information distribution statistics however on modelled and scored historic performance.

    This may likewise subsist specifically principal if you preserve information in assorted locations. as an example, many analytical queries in opposition t colossal statistics require concurrent access to determined statistics warehouse tables. These tables are often referred to as dimension tables, and they contain the facts features usually used to manipulate subsetting and aggregation. for instance, in a retail environment accept as genuine with a table known as StoreLocation that enumerates each save and its location code. Queries towards preserve sales records might likewise want to aggregate or summarize income by using location; hence, the StoreLocation desk might subsist used by course of some large data queries. during this atmosphere it's simple to enmesh the dimension tables and copy them always to the colossal statistics application. in the IBM world this region is the IBM Db2 Analytics Accelerator (IDAA).

    Now respect about SQL queries from each operational purposes, data warehouse clients and large statistics industry analysts. From Db2's standpoint, full these queries are equal, and are forwarded to the Optimizer. youngsters, within the case of operational queries and warehouse queries they should soundless certainly subsist directed to entry the StoreLocation table within the warehouse. on the other hand, the query from the company analyst in opposition t huge data tables should soundless probably access the replica of the table there. This outcomes in a proliferations of learning entry paths, and more toil for the Optimizer. fortuitously, Db2 AI for z/OS can give the Optimizer the assistance it must get smart access direction choices.

    the course it Works

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

  • throughout a bind, rebind, prepare or clarify operation, an SQL statement is handed to the Optimizer;
  • The Optimizer chooses the facts access course; because the alternative is made, Db2 AI captures the SQL syntax, entry direction option and question efficiency facts (CPU used, etc.) and passes it to a "studying project";
  • The gaining learning of assignment, which may likewise subsist achieved on a zIIP processor (a non-commonplace-intention CPU core that doesn't component into utility licensing costs), interfaces with the computer getting to know software (MLz mannequin services) to shop this information in a model;
  • as the amount of facts in each and every model grows, the MLz Scoring service (which likewise can subsist accomplished on a zIIP processor) analyzes the mannequin records and scores the conduct;
  • throughout the subsequent bind, rebind, prepare or clarify, the Optimizer now has access to the scoring for SQL fashions, and makes applicable alterations to access path selections.
  • There are likewise quite a lot of consumer interfaces that supply the administrator visibility to the popularity of the amassed SQL observation efficiency facts and mannequin scoring.

    abstract

    IBM's machine studying for zOS (MLz) providing is being used to super result in Db2 edition 12 to enrich the performance of analytical queries in addition to operational queries and their associated applications. This requires management consideration, as you requisite to investigate that your company is prepared to consume these ML and AI conclusions. How will you measure the fees and advantages of using machine discovering? Which IT aid group of workers requisite to subsist tasked to reviewing the outcome of mannequin scoring, and maybe approving (or overriding) the outcomes? How will you overview and warrant the assumptions that the software makes about entry direction decisions?

    In different words, how neatly attain you know your facts, its distribution, its integrity and your latest and proposed entry paths? this will determine the site the DBAs disburse their time in aiding analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 wonderful EngineerFrom "IBM Db2 AI for z/OS: enhance IBM Db2 application efficiency with laptop getting to know"https://www.worldofdb2.com/routine/ibm-db2-ai-for-z-os-increase-ibm-db2-utility-performance-with-ma

    Reference 2

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


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    DBAs and builders working with IBM DB2 regularly utilize IBM records Studio. Toad DBA Suite for IBM DB2 LUW complements facts Studio with advanced features that get DBAs and developers a lot more productive. How can Toad DBA Suite for IBM DB2 LUW handicap your company? download the tech quick to discover.

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    download the authoritative e-book: Cloud Computing 2019: the usage of the Cloud for competitive competencies

    See the total checklist of computing device discovering options

    final analysis

    RapidMiner may likewise now not believe the identify focus of AWS or Google, nonetheless it is a comprehensive data science platform. It aids groups in exploring, mixing and cleansing statistics, designing and refining predictive models through machine discovering and managing deployments. For organizations looking for a robust, expansive ML toolset, RapidMiner bears exploring.

    RapidMiner uses a unified interface to manipulate numerous projects although a graphical drag-and-drop strategy. It offers pre-described computer getting to know libraries however likewise incorporates a lot of third-party libraries. This includes a total bunch of add-ons encompassing computer studying, textual content analytics, predictive modeling, automation and manner manage.

    This produces a quick classification and regression analysis system for both supervised and unsupervised gaining learning of. The solution likewise helps split and go-validation methods that enhance the accuracy of predictive models. both Gartner and Forrester rank RapidMiner as a “leader.” The dealer additionally earned a Gartner consumer’s option 2018 award.

    Product Description

    RapidMiner strategies information science and desktop gaining learning of from a holistic viewpoint and presents a large number of paraphernalia to manipulate myriad projects. The platform helps full principal open supply facts science formats and provides greater than 60 connectors to control structured, unstructured and numerous sorts of massive information.

    https://o1.qnsr.com/log/p.gif?;n=203;c=204660772;s=9478;x=7936;f=201812281334210;u=j;z=TIMESTAMP;a=20403954;e=i

    RapidMiner boasts that it presents more than 1,500 desktop getting to know and statistics prep functions, and it supports greater than forty info forms, including SAS, ARFF, Stata and by course of URL. It helps NoSQL, MongoDB and Casandra, and its Radoop product extends information environments into the open supply Hadoop space.

    This makes it possible to generate and re-use current R and Python code, and coalesce and recombine current modules with fresh extensions and modules. The platform likewise connects to foremost cloud storage functions similar to Amazon S3 and Dropbox. It writes to Qlik QVX or Tableau TDE files.

    Overview and lines person Base

    facts scientists, developers, industry analysts and citizen statistics scientists.

    Interface

    Graphical user interface.

    Scripting Languages supported

    Python, R and RapidMiner Studio

    codecs Supported

    more than 40 file varieties together with SAS, ARFF, Stata, and by means of URL. provides wizards for Microsoft transcend and access, CSV, and database connections. presents access to NoSQL databases MongoDB and Cassandra.

    Integration

    guide for full JDBC database connections together with Oracle, IBM DB2, Microsoft SQL Server, MySQL, Postgres, Teradata, Ingres, VectorWise, and others.

    Reporting and Visualization

    in-built visualization tools. extensive logging capabilities.

    Pricing

    $2,500 per user annually for the petite version (one hundred,000 facts rows and a pair of logical processors), $5,000 per consumer yearly for the medium edition (1,000,000 records rows and 4 logical processors) and $10,000 per person yearly for unlimited entry.

    RapidMiner Overview and features at a glance:

    supplier and lines

    RapidMiner

    ML focal point

    enormously computerized ML platform example for businesses aiming to utilize machine getting to know commonly.

    Key features and capabilities

    presents greater than 1,500 computing device discovering and facts prep services, and it helps more than 40 files forms. Connects to Amazon S3 and Dropbox.

    user comments

    among the highest rated data science and ML options. clients represent it as effective and “revolutionary” notwithstanding there are complaints concerning the need of GPU help. 

    Pricing and licensing

    Tiered pricing ranging from $2,500 per consumer per year to upwards of $10,000 per consumer per 12 months.


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    DB2 10.1 DBA for Linux UNIX and Windows

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

    I’ve just completed IBM DB2 for Linux, Unix and Windows (LUW) coverage here on utilize The Index, Luke as preparation for an upcoming training I’m giving. This blog post describes the major differences I’ve establish 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 await that it is light 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 light Explain

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

  • Explain a statement by prefixing it with accountfor contrivance for

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

  • Display a stored accountfor contrivance using db2exfmt

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

  • There is another command line appliance (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you rate 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 full output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you requisite full the time (the operations) is presented in a pretty unreadable course (IMHO). I’m particularly thankful that full 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 course to panoply an execution plan: “Write your own queries against the accountfor tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s title suggest: it shows the execution contrivance of the final statement that was explained (in a non-useless formatting):

    Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | return | | 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 - combine (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) combine (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain contrivance by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained

    I’m pretty certain many DB2 users will mumble that this presentation of the execution contrivance is confusing. And that’s OK. If you are used to the course IBM presents execution plans, just stick to what you are used to. However, I’m working with full kinds of databases and they full believe a course to panoply the execution contrivance 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 count estimates and the predicate information.

    You can rate the source of the last_explained view from here or from GitHub (direct download). I’m staid about the no warranty part. Yet I’d dote to know about problems you believe with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing full 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 dote 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 back a where clause for indexes dote 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 full parts of the index key contain 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 full parts of the key (all indexed columns) to NULL for rows that should not finish 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 duty 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 return receiver; ELSE return NULL; finish IF; END; /

    It’s a deterministic duty and can thus subsist used in an Oracle function-based index. This won’t toil 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 duty returns NULL which is not setaside in the index (there is no other column that could subsist non-NULL). Voilà: a partial index in the Oracle database.

    To utilize this index, just utilize the pi_processed duty 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 proceed for this approach, you’d better requisite the partial index desperately.

    To get this approach toil in DB2 they requisite two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a course to map processed rows to NULL without using a user-defined duty so it can subsist used in a DB2 index.

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

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

    This implements the very selfsame mapping as the pi_processed duty above. recall 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 prevent those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.

    To utilize the index, just utilize 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 | return | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)

    Oh, that’s a colossal disappointment: the optimizer didn’t enmesh the index. It does a full table scan instead. What’s wrong?

    If you believe a very nearby peek at the execution contrivance 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 utilize 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 top-notch understanding what they attain and can transform them.

    We requisite a course to apply their magic NULL-mapping but they can’t utilize functions (can’t subsist indexed) nor can they utilize CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty light to confuse an optimizer. full you requisite to attain 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 utilize this expression in the index and the query, I rate this execution plan:

    ID | Operation | Rows | Cost 1 | return | | 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 finish = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL finish = ?) halt ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL finish = ?)

    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 dote in more recent Oracle versions).

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

    INCLUDE Clause Only for Unique Indexes

    With the include 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 include clause before because SQL Server offers it too, but there are some differences:

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

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

  • Almost No NULLS FIRST/LAST Support

    The NULLS FIRST and NULLS final 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 touchstone 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 likewise contemplate that DB2 doesn’t back 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 final 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. selfsame is genuine for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not convincing at full and defer 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 back the offset clause, which was introduced with the very selfsame release of the SQL standard. Although it might peek dote an whimsical omission, it is in fact a very sane lunge that I deeply respect. offset is the root of so much evil. In the next section, I’ll accountfor how to live without offset.

    Side node: If you believe code using offset that you cannot change, you can soundless activate the MySQL compatibility vector that makes circumscribe and offset available in DB2. Funny enough, combining fetch first with offset is then soundless not possible (that would subsist touchstone compliant).

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to figure a solitary 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 destitute back 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 dote 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 requisite to rate the next few ones. For that you’d utilize the time_stamp value of the final entry you’ve got for the bind value (?). The query then just return the rows from there on. But what if there are two rows with the very selfsame time_stamp value? Then you requisite a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the site till where you believe the result. This is where row-value predicates advance 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 get certain 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 touchstone since 1992! However, it is possible to apply the selfsame logic without row-value predicates—but that’s rather inconvenient and light to rate wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates top-notch enough to get proper utilize of indexes that back the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the privilege result, it does not utilize 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 back row-value predicates in the course it should be.

    The fact that DB2 LUW has everything you requisite for convenient keyset pagination is likewise the understanding why there is absolutely no understanding to complain about the missing offset functionality. In fact I believe that offset should not believe been added to the SQL touchstone and I’m pleased to contemplate a vendor that resisted the exhort to add it because its became fragment of the standard. Sometimes the touchstone is wrong—just sometimes, not very often ;) I can’t change the standard—all I can attain is teaching how to attain it privilege and start campaigns dote #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you dote my course of explaining things, you’ll cherish my reserve “SQL Performance Explained”.


    Don't overlook Amanda for your storage data protection needs | killexams.com real questions and Pass4sure dumps

    Chances are, you believe never heard of Amanda… in the sense of open source that is. And if you believe not heard of Amanda, then chances are you believe not heard of Zmanda either. I will accountfor both, and I will give you my view of why it is principal for you to at least subsist watchful of these products and their relation to data protection. Whether you should invest in either depends on many factors that will become pellucid shortly.

    Let's start with Amanda. Amanda is the most current open source data protection product in the market today, at least based on the number of free downloads: 250,000 or more. dote most free downloads, these usually advance from universities -- both students and IT folks -- and scientific labs. But, they likewise include individuals from corporations that are experimenting with open source. In a nutshell, Amanda is a client/server data protection software that runs on a Linux server (backup server) and protects clients that race Windows, Linux or Unix (only a few variants at the moment). It was developed originally at the University of Maryland and then dropped into the world of open source. Since it was distributed to the open source community, hundreds of programmers believe contributed to its development, bug fixes and its common keeping and feeding. As a result, the usage of the product has continued to climb dramatically over the past few years.

    You can utilize Amanda for free. You can modify it and setaside it back in the ether for free. But, dote full open source software, if the software just stopped running in the middle of the night because your client application server was not yet supported, top-notch luck trying to rate support. Or anything else. Your best ante would subsist to site your request on one of many Web sites where users and developers aid each other out.

    But, unlike Linux operating systems (where there are companies dote RedHat and SUSE, which is now Novell) or Linux-based databases (where there are companies dote mySQL), Amanda did not believe a "for profit" sponsor until recently. In late 2005, a newly-formed company was charged with working to get Amanda a more usable product that would subsist able to back enterprises of full sizes. In keeping with the open source model, Zmanda has grabbed leadership of this space and is feverishly encouraging additional programmers -- some internal to the company, but most belonging to other companies/organizations -- to enhance Amanda so it can effectively compete with Symantec NetBackup, EMC Networker, CommVault Galaxy, Tivoli and others that drop in the enterprise-class data protection software category. Even within the final six months, Amanda has advance a long way. But, it likewise has a long course to proceed before I would respect it a full member of this class. Should you therefore ignore it? No. However, the understanding I am writing this column is to get you watchful that, under the privilege set of circumstances, Amanda is worth considering.

    Enter Zmanda. The company has released a specific version of Amanda (two versions, actually) that they back under the classic open source subscription model. You pay only for subscription and back and not for the product itself, just dote any other open source product. Of course, the total idea is to expense it such that the total cost of ownership is significantly (as in one-half to one-fourth the cost) lower than other commercial products.

    But before you jump into the fray, examine yourself the following questions:

  • Does the current product believe back for my systems?
  • Does it believe the features I need?
  • Does the product believe back for my applications (e.g., Oracle, SQLserver, and DB2?)
  • Does it believe adequate disk support?
  • What about archiving?
  • I am certain that as you peek into these options you will believe other questions that are specific to your organization's needs. Version 2.50 of Zmanda does believe back for Windows and Linux, but not for full current flavors of Unix. It should back databases and other applications in the future but does not privilege now. It likewise lacks a GUI and does not yet back full the fresh innovations that they believe seen in the world of disk back (like VTL and CDP). But, it does believe disk support. It likewise has some features that I wish they had in the other commercial offerings, dote a non-proprietary data format and dote having the ability to attain a recovery without requiring the vendor's software. Of course, its Linux back is excellent.

    In my view, real innovation occurs when there is a monetary incentive and there is a discontinuity in the technology curve. That is why they believe seen the massive transformation in data protection software in the past five years. SATA was the technology that opened up opportunities that just were not available before. But, before that, one could get a pretty reasonable controversy that data protection software from full the major vendors had become pretty bloated, and the rate of innovation was very slow. Adding back for a fresh tape library does not count as innovation in my book. It is precisely at such times, when differentiation between vendors' products is low, that open source starts to get a lot of sense. Thousands of programmers start developing and creating a simpler, less cumbersome product with adequate functionality for many companies that don't requisite it all. Also, they are cost-sensitive and dote the freedom.

    That is how mySQL and, of course, Linux itself got going. Now it is Zmanda. But unlike the other segments, data protection is now experiencing phenomenal innovation. So, Amanda's (and therefore, Zmanda's) challenge will subsist to not only create the feeble tape-based functionality but likewise to add full the fresh juicy disk-based functionality that is coming in waves currently. I suspect it is up for the challenge but at least subsist watchful that there could subsist a lag before you contemplate full of these features.

    It was bound to happen. If database, J2EE, server virtualization and security tools got an open source counterpart, how far behind could data protection be? If you believe simpler needs, cost is a major issue and you crave that liberty from the colossal vendor -- for whatever understanding -- then you should check out this fresh space. But my advice: attain not race a production environment without the back that comes with Zmanda. Amanda may subsist free, but she can subsist wretchedness without the support.

    About the author: Arun Taneja is the founder and consulting analyst for the Taneja Group. Taneja writes columns and answers questions about data management and related topics.


    IT Skills Poised To Pay | killexams.com real questions and Pass4sure dumps

    In-Depth

    IT Skills Poised To Pay

    Advances in mobility, cloud, colossal Data, DevOps and digital delivery, plus the shift to more rapid release cycles of software and services, are enabling businesses to become more agile. IT workforce research and analyst firm Foote Partners assesses the IT skills gap these trends are creating, their repercussion on salaries and where the claim for expertise is headed.

  • By David Foote
  • 12/05/2016
  • It's difficult to find an employer not struggling to advance up with a unique tech staffing model that balances three things: the urgencies of fresh digital innovation strategies, combating ever deepening security threats, and keeping integrated systems and networks running smoothly and efficiently. The staffing challenge has moved well beyond simply having to elect between contingent workers, full-time tech professionals, and a variety of cloud computing and managed services options (Infrastructure as a Service [IaaS], Platform as a Service [PaaS], Software as a Server [SaaS]). Over the next few years, managers will continue to subsist tasked with leading a massive transformation of the technology and tech-business hybrid workforce to focus on quickly and predictably delivering a wide variety of operational and revenue-generating infrastructure solutions involving Internet of Things (IoT) products and services, colossal Data advanced analytics, cybersecurity, and fresh mobile and cloud computing capabilities. Consequently, tech professionals and developers must align their skills and interests accordingly to aid their employers meet existing and forthcoming digital transformation imperatives that are forcing deep, accelerated changes in technology organizations.

    As cloud infrastructure becomes more capable of economically delivering performance and data at capacities and speeds once never imagined, organizations of full sizes are seeking tech professionals and developers with the proper skills, knowledge, and competencies to create more agile and responsive environments.

    At the selfsame time, they're grappling to ensure reliability of existing infrastructure where any amount of downtime is less acceptable than ever. Along with that is an onslaught of cybersecurity attacks occurring more frequently that believe many IT managers motto they can't find adequate labor to aid them protect their existing networks and endpoints. The latest reminder was in the spotlight following the most powerful denial of service (DoS) storm to date in late October resulting from unprotected endpoints on surveillance cameras. IoT, machine-to-machine communications and telematics believe introduced fresh complexities ranging from the requisite to better secure the devices and the delivery points to which they connect. Meanwhile, the growing IoT landscape is unleashing an exponential flood of fresh data from hundreds of millions of devices, and organizations requisite to blend their IT and operational systems and find people with colossal Data analytics skills to manipulate the cloud-based machine learning infrastructure that's now emerging. This generational shift in IT will setaside a premium on, or create a baseline requirement for, IT professionals willing to supervene the money and contemplate where their skills will subsist most applicable. Whether you're a manager looking to ensure your staff can deliver on these changes or an IT professional deciding on a career direction, workforce requirements and customer expectations are changing.

    If you're in the latter camp, it's principal to understand that the supply-and-demand aspect that drives compensation is likewise a poignant target. IT pay has a long history of volatility and in 2016 they believe seen even sharper swings in those premiums. Based on hiring patterns, the following overriding trends will drive market claim for IT professionals who believe the experience, drive and skills to deliver solutions:

  • Cybersecurity: The requisite to protect traditional infrastructure from pervasive and ongoing attacks from a growing number of vectors and sophistication. Evidence suggests pay premiums for cybersecurity will continue to subsist strong for the coming years as the threat landscape continues to become more complicated and confounding. The elimination of traditional boundaries brought about by cloud computing and mobility and a massive fresh influx of data generated by IoT devices will only exacerbate this need. More than 25 percent of identified attacks will involve IoT, according to Gartner Inc.
  • Cloud: IT infrastructure over time is transitioning to an all-cloud model, whether provided by a services provider, in the datacenter or a hybrid coalesce of the two. The lunge to these elastic infrastructures and op-ex approach to IT is likewise enabling high-performance computing and storage capacity that's ushering in the ability to discharge workloads and software-defined automation not possible with traditional client server or Web application tier infra­structures. Likewise, the lunge to cloud service-based apps such as Salesforce, Office 365 and Workday, to title just a few, is shifting the requisite for those with skills in pile and managing traditional packaged software to those expert in these fresh SaaS-based solutions. The amount spent on cloud this year was forecast at $111 billion, according to Gartner. By 2020, that spending is expected to climb to $216 billion.
  • Big Data Analytics/Machine Learning: The lunge toward digital transformation is full about empowering users to get quick decisions based on an overwhelmingly massive groundswell of data to subsist curated from fresh sources such as IoT endpoints using the cloud infrastructure and enabling predictive analytics utilizing the machine learning conversational computing frameworks that Amazon Web Services Inc. (AWS), Google Inc., IBM Corp. and Microsoft are developing.
  • DevOps: The drive to bring together IT operations and evolution is taking hold as the lunge to digital transformation, or at least the contrivance to attain so, means organizations must subsist more agile. A more rapid release cadence in software delivery -- from Windows and Office to open source environments and plumb applications -- requires that IT shops can build, deliver and manage systems with these dynamics. Likewise, fresh programming environments and frameworks such as containers and micro-services are enabling fresh classes of cloud-native applications designed for fresh classes of devices and knowing and modern infrastructure.
  • Digital industry Transformation: This is the finish goal of many organizations that fear, rightfully so, their industry models are at risk unless they can become digital businesses. This is the culmination of the four areas just noted but likewise includes the ability to leverage advances in UX and UI design and the ability to lever­age IT to aid companies build fresh products, services and back that's tuned to the digital era.
  • Selected DevOps Skills & Certifications: Pay Premiums Performance DevOps Area Tool Median Pay Premium Noncertified Skills Build and packaging tools Apache Maven 11% Build and packaging tools Ant 10% Cloud computing AWS 11% Cloud computing OpenStack 11% Configuration management Puppet 9% Configuration management Chef 9% Configuration management Ansible 9% Configuration management Salt 9% Continuous integration tools Jenkins 11% Database Couchbase Server 13% Database CouchDB 12% Debugging Go language (Golang) 13% Debugging Node.js 8% Hosting environments AWS cloud tools and solutions  11% Methodology Agile software development 10% Open source databases MySQL 9% Open source databases PostgreSQL 11% Open source databases Redis 12% SCM tools Git/GitHub 9% Scripting languages Ruby on Rails/Ruby 12% Scripting languages Python 9% Virtualization Vagrant 8% Certifications Cloud computing AWS Certified DevOps Engineer - Professional 11% Cloud computing AWS Certified Solutions Architect - Associate (Cloud)      8% Cloud computing AWS Certified Solutions Architect - Professional (Cloud)     12% Cloud computing AWS Certified SysOpsAdministrator - Associate (Cloud) 8% Configuration management Red Hat Certified Architect - DevOps 8%


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    HDI [9 Certification Exam(s) ]
    Healthcare [3 Certification Exam(s) ]
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    Hitachi [30 Certification Exam(s) ]
    Hortonworks [4 Certification Exam(s) ]
    Hospitality [2 Certification Exam(s) ]
    HP [750 Certification Exam(s) ]
    HR [4 Certification Exam(s) ]
    HRCI [1 Certification Exam(s) ]
    Huawei [21 Certification Exam(s) ]
    Hyperion [10 Certification Exam(s) ]
    IAAP [1 Certification Exam(s) ]
    IAHCSMM [1 Certification Exam(s) ]
    IBM [1532 Certification Exam(s) ]
    IBQH [1 Certification Exam(s) ]
    ICAI [1 Certification Exam(s) ]
    ICDL [6 Certification Exam(s) ]
    IEEE [1 Certification Exam(s) ]
    IELTS [1 Certification Exam(s) ]
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    IIA [3 Certification Exam(s) ]
    IIBA [2 Certification Exam(s) ]
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    Intel [2 Certification Exam(s) ]
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    ISEB [24 Certification Exam(s) ]
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    McAfee [8 Certification Exam(s) ]
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    Microsoft [374 Certification Exam(s) ]
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    mySQL [4 Certification Exam(s) ]
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    NCEES [2 Certification Exam(s) ]
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    NI [1 Certification Exam(s) ]
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    Nortel [130 Certification Exam(s) ]
    Novell [37 Certification Exam(s) ]
    OMG [10 Certification Exam(s) ]
    Oracle [279 Certification Exam(s) ]
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    Palo-Alto [4 Certification Exam(s) ]
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    QlikView [1 Certification Exam(s) ]
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    Real-Estate [1 Certification Exam(s) ]
    RedHat [8 Certification Exam(s) ]
    RES [5 Certification Exam(s) ]
    Riverbed [8 Certification Exam(s) ]
    RSA [15 Certification Exam(s) ]
    Sair [8 Certification Exam(s) ]
    Salesforce [5 Certification Exam(s) ]
    SANS [1 Certification Exam(s) ]
    SAP [98 Certification Exam(s) ]
    SASInstitute [15 Certification Exam(s) ]
    SAT [1 Certification Exam(s) ]
    SCO [10 Certification Exam(s) ]
    SCP [6 Certification Exam(s) ]
    SDI [3 Certification Exam(s) ]
    See-Beyond [1 Certification Exam(s) ]
    Siemens [1 Certification Exam(s) ]
    Snia [7 Certification Exam(s) ]
    SOA [15 Certification Exam(s) ]
    Social-Work-Board [4 Certification Exam(s) ]
    SpringSource [1 Certification Exam(s) ]
    SUN [63 Certification Exam(s) ]
    SUSE [1 Certification Exam(s) ]
    Sybase [17 Certification Exam(s) ]
    Symantec [134 Certification Exam(s) ]
    Teacher-Certification [4 Certification Exam(s) ]
    The-Open-Group [8 Certification Exam(s) ]
    TIA [3 Certification Exam(s) ]
    Tibco [18 Certification Exam(s) ]
    Trainers [3 Certification Exam(s) ]
    Trend [1 Certification Exam(s) ]
    TruSecure [1 Certification Exam(s) ]
    USMLE [1 Certification Exam(s) ]
    VCE [6 Certification Exam(s) ]
    Veeam [2 Certification Exam(s) ]
    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]





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