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000-546 DB2 9.7 Database Administrator for Linux UNIX or Windows Upgrade

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IBM DB2 9.7 Database Administrator

IBM licensed Database Administrator | Real Questions and Pass4sure dumps

This supplier-selected Certification is obtainable with the aid of:IBM CorporationArmonk, big apple USAPhone: 914-499-1900Email: This electronic mail tackle is being included from spambots. You need JavaScript enabled to view it.

ability stage: Intermediate                          fame: lively

reasonably-priced: $200 (shortest tune)               

abstract:for individuals who work with IBM DB2 databasesand are capable of performing the intermediate to superior everyday administration of DB2 situations and databases.

preliminary necessities:You should be an IBM certified Database affiliate and circulate between one and two extra assessments ($200 each). There are four tracks to make a choice from: DB2 (9.7) for Linux, Unix and windows, DB2 (10) for z/OSDB2 (9) DBA for Linux, Unix and windows, and DB2 (9) DBA for z/OS. practicing is obtainable but now not required.

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clients swap to IBM DB2 Database utility to fulfill facts Intensive calls for of their businesses | Real Questions and Pass4sure dumps

a new wave of purchasers and business companions in industries such as healthcare, power and monetary markets have made the change from competitive platforms to IBM DB2 database application to fulfill information intensive calls for of their organizations.  To additional speed up this momentum, IBM currently introduced a new feature that makes it possible for clients to greater without difficulty circulate their purposes written for Sybase ASE to DB2 - including to the assist for Oracle Database purposes introduced final yr.

shoppers comparable to BJC Healthcare and Pep Boys are already testing the feature to stream their industry applications from Sybase ASE to DB2 to assist in the reduction of IT prices and obtain standard superior efficiency.

additionally, in just the past three hundred and sixty five days, greater than 500 companions together with Synopsis SA, Perficient, Inc. and Odyssey financial applied sciences Inc. have adopted or migrated to DB2 as a result of its ease of use, lessen prices and more suitable ROI for their shoppers.  

latest financial conditions are driving organizations to consolidate and standardize their IT environments with reduce charge, energy-productive, extra scalable infrastructure.  organizations in all industries can have as much as lots of functions and dozens of database administration systems that need to engage with one a further, which are either purchased or obtained through an acquisition.  These programs create redundant hardware, utility, administration -- expanding IT charges.

since the unencumber of DB2 9.7, a starting to be variety of shoppers have moved their purposes from Oracle Database to DB2, in some circumstances, in a remember of days, to profit more efficiencies and cut back prices linked to managing their IT infrastructure.  they have benefited from exciting DB2 improvements reminiscent of pureScale running on IBM vigour systems, that helps customers enhance their database transaction capability while cutting back the risk and price of becoming their IT techniques.

For customers moving functions from Sybase ASE, this new SQL epidermis feature makes DB2 the best choice for right now decreasing their operational fees in order to invest greater on turning out to be their enterprise via strategic initiatives equivalent to analytics.   This thoroughly integrated means changed into collectively developed with ANTs software inc. (OTCBB:ANTS), a leading issuer of database migration options. This construction began more than two years ago and early adopter purchasers have participated in a beta program considering late 2009.

"We be aware the pressures customers face to raise the normal efficiency of their agencies streamline their approaches while additionally cutting back prices,ˇ stated Arvind Krishna, widely wide-spread supervisor, IBM suggestions administration.   "Our persisted funding in establishing imaginative technologies such because the new SQL dermis is a transparent demonstration of their dedication to assisting shoppers meet these challenges."

"we're proud of this partnership with IBM," referred to Joseph Kozak, Chairman and CEO, ANTs application inc. "IBM's international attain and assist coupled with the unrivaled expertise and value benefits delivered via ANTs innovations creates a magnificent new providing for international businesses.  In gigantic fiscal capabilities and telecommunications markets, where cost mark downs is a massive precedence, the price of instantly moving to DB2 can be compelling for groups concentrated on decreasing expenses."

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DB2 9.7 Database Administrator for Linux UNIX or Windows Upgrade

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IBM Certified Database Administrator | real questions and Pass4sure dumps

This vendor-specific Certification is Offered By:IBM CorporationArmonk, NY USAPhone: 914-499-1900Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Skill Level: Intermediate                          Status: Active

Low Cost: $200 (shortest track)               

Summary:For individuals who work with IBM DB2 databasesand are capable of performing the intermediate to advanced day-to-day administration of DB2 instances and databases.

Initial Requirements:You must be an IBM Certified Database Associate and pass between one and two additional exams ($200 each). There are 4 tracks to choose from: DB2 (9.7) for Linux, Unix and Windows, DB2 (10) for z/OSDB2 (9) DBA for Linux, Unix and Windows, and DB2 (9) DBA for z/OS. Training is available but not required.

Continuing Requirements:None specified

Pay Chart:

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Converting XML to Relational Data for Use in DB2 | real questions and Pass4sure dumps

This chapter is from the book 

The XMLTABLE function is an SQL table function that uses XQuery expressions to create relational rows from an XML input document. For details on the XMLTABLE function, see Chapter 7, Querying XML Data with SQL/XML. In this section they describe how to use the XMLTABLE function in an SQL INSERT statement to perform shredding. They use the shredding scenario in Figure 11.1 as an example.

The first step is to create the relational target tables, if they don't already exist. For the scenario in Figure 11.1 the target tables are defined as follows:

CREATE TABLE address(cid INTEGER, name VARCHAR(30), street VARCHAR(40), city VARCHAR(30)) CREATE TABLE phones(cid INTEGER, phonetype VARCHAR(10), phonenum VARCHAR(20))

Based on the definition of the target tables you construct the INSERT statements that shred incoming XML documents. The INSERT statements have to be of the form INSERT INTO ... SELECT ... FROM ... XMLTABLE, as shown in Figure 11.2. Each XMLTABLE function contains a parameter marker ("?") through which an application can pass the XML document that is to be shredded. SQL typing rules require the parameter marker to be cast to the appropriate data type. The SELECT clause selects columns produced by the XMLTABLE function for insert into the address and phones tables, respectively.

Figure 11.2. Inserting XML element and attribute values into relational columns INSERT INTO address(cid, name, street, city) SELECT x.custid, x.custname, x.str, FROM XMLTABLE('$i/customerinfo' PASSING CAST(? AS XML) AS "i" COLUMNS custid INTEGER PATH '@Cid', custname VARCHAR(30) PATH 'name', str VARCHAR(40) PATH 'addr/street', place VARCHAR(30) PATH 'addr/city' ) AS x ; INSERT INTO phones(cid, phonetype, phonenum) SELECT x.custid, x.ptype, x.number FROM XMLTABLE('$i/customerinfo/phone' PASSING CAST(? AS XML) AS "i" COLUMNS custid INTEGER PATH '../@Cid', number VARCHAR(15) PATH '.', ptype VARCHAR(10) PATH './@type') AS x ;

To populate the two target tables as illustrated in Figure 11.1, both INSERT statements have to be executed with the same XML document as input. One approach is that the application issues both INSERT statements in one transaction and binds the same XML document to the parameter markers for both statements. This approach works well but can be optimized, because the same XML document is sent from the client to the server and parsed at the DB2 server twice, once for each INSERT statement. This overhead can be avoided by combining both INSERT statements in a single stored procedure. The application then only makes a single stored procedure call and passes the input document once, regardless of the number of INSERT statements in the stored procedure. Chapter 18, Using XML in Stored Procedures, UDFs, and Triggers, demonstrates such a stored procedure as well as other examples of manipulating XML data in stored procedures and user-defined functions.

Alternatively, the INSERT statements in Figure 11.2 can read a set of input documents from an XML column. Suppose the documents have been loaded into the XML column info of the customer table. Then you need to modify one line in each of the INSERT statements in Figure 11.2 to read the input document from the customer table:

FROM customer, XMLTABLE('$i/customerinfo' PASSING info AS "i"

Loading the input documents into a staging table can be advantageous if you have to shred many documents. The LOAD utility parallelizes the parsing of XML documents, which reduces the time to move the documents into the database. When the documents are stored in an XML column in parsed format, the XMLTABLE function can shred the documents without XML parsing.

The INSERT statements can be enriched with XQuery or SQL functions or joins to tailor the shredding process to specific requirements. Figure 11.3 provides an example. The SELECT clause contains the function RTRIM to remove trailing blanks from the column x.ptype. The row-generating expression of the XMLTABLE function contains a predicate that excludes home phone numbers from being shredded into the target table. The column-generating expression for the phone numbers uses the XQuery function normalize-space, which strips leading and trailing whitespace and replaces each internal sequence of whitespace characters with a single blank character. The statement also performs a join to the lookup table areacodes so that a phone number is inserted into the phones table only if its area code is listed in the areacodes table.

Figure 11.3. Using functions and joins to customize the shredding INSERT INTO phones(cid, phonetype, phonenum) SELECT x.custid, RTRIM(x.ptype), x.number FROM areacodes a, XMLTABLE('$i/customerinfo/phone[@type != "home"]' PASSING CAST(? AS XML) AS "i" COLUMNS custid INTEGER PATH '../@Cid', number VARCHAR(15) PATH 'normalize-space(.)', ptype VARCHAR(10) PATH './@type') AS x WHERE SUBSTR(x.number,1,3) = a.code; 11.2.1 Hybrid XML Storage

In many situations the complexity of the XML document structures makes shredding difficult, inefficient, and undesirable. Besides the performance penalty of shredding, scattering the values of an XML document across a large number of tables can make it difficult for an application developer to understand and query the data. To improve XML insert performance and to reduce the number of tables in your database, you may want to store XML documents in a hybrid manner. This approach extracts the values of selected XML elements or attributes and stores them in relational columns alongside the full XML document.

The example in the previous section used two tables, address and phones, as the target tables for shredding the customer documents. You might prefer to use just a single table that contains the customer cid, name, and city values in relational columns and the full XML document with the repeating phone elements and other information in an XML column. You can define the following table:


Figure 11.4 shows the INSERT statement to populate this table. The XMLTABLE function takes an XML document as input via a parameter marker. The column definitions in the XMLTABLE function produce four columns that match the definition of the target table hybrid. The row-generating expression in the XMLTABLE function is just $i, which produces the full input document. This expression is the input for the column-generating expressions in the COLUMNS clause of the XMLTABLE function. In particular, the column expression '.' returns the full input document as-is and produces the XML column doc for insert into the info column of the target table.

Figure 11.4. Storing an XML document in a hybrid fashion INSERT INTO hybrid(cid, name, city, info) SELECT x.custid, x.custname,, x.doc FROM XMLTABLE('$i' PASSING CAST(? AS XML) AS "i" COLUMNS custid INTEGER PATH 'customerinfo/@Cid', custname VARCHAR(30) PATH 'customerinfo/name', city VARCHAR(25) PATH 'customerinfo/addr/city', doc XML PATH '.' ) AS x;

It is currently not possible to define check constraints in DB2 to enforce the integrity between relational columns and values in an XML document in the same row. You can, however, define INSERT and UPDATE triggers on the table to populate the relational columns automatically whenever a document is inserted or updated. Triggers are discussed in Chapter 18, Using XML in Stored Procedures, UDFs, and Triggers.

It can be useful to test such INSERT statements in the DB2 Command Line Processor (CLP). For this purpose you can replace the parameter marker with a literal XML document as shown in Figure 11.5. The literal document is a string that must be enclosed in single quotes and converted to the data type XML with the XMLPARSE function. Alternatively, you can read the input document from the file system with one of the UDFs that were introduced in Chapter 4, Inserting and Retrieving XML Data. The use of a UDF is demonstrated in Figure 11.6.

Figure 11.5. Hybrid insert statement with a literal XML document INSERT INTO hybrid(cid, name, city, info) SELECT x.custid, x.custname,, x.doc FROM XMLTABLE('$i' PASSING XMLPARSE(document '<customerinfo Cid="1001"> <name>Kathy Smith</name> <addr country="Canada"> <street>25 EastCreek</street> <city>Markham</city> <prov-state>Ontario</prov-state> <pcode-zip>N9C 3T6</pcode-zip> </addr> <phone type="work">905-555-7258</phone> </customerinfo>') AS "i" COLUMNS custid INTEGER PATH 'customerinfo/@Cid', custname VARCHAR(30) PATH 'customerinfo/name', city VARCHAR(25) PATH 'customerinfo/addr/city', doc XML PATH '.' ) AS x; Figure 11.6. Hybrid insert statement with a "FromFile" UDF INSERT INTO hybrid(cid, name, city, info) SELECT x.custid, x.custname,, x.doc FROM XMLTABLE('$i' PASSING XMLPARSE(document blobFromFile('/xml/mydata/cust0037.xml')) AS "i" COLUMNS custid INTEGER PATH 'customerinfo/@Cid', custname VARCHAR(30) PATH 'customerinfo/name', city VARCHAR(25) PATH 'customerinfo/addr/city', doc XML PATH '.' ) AS x;

The insert logic in Figure 11.4, Figure 11.5, and Figure 11.6 is identical. The only difference is how the input document is provided: via a parameter marker, as a literal string that is enclosed in single quotes, or via a UDF that reads a document from the file system.

11.2.2 Relational Views over XML Data

You can create relational views over XML data using XMLTABLE expressions. This allows you to provide applications with a relational or hybrid view of the XML data without actually storing the data in a relational or hybrid format. This can be useful if you want to avoid the overhead of converting large amounts of XML data to relational format. The basic SELECT ... FROM ... XMLTABLE constructs that were used in the INSERT statements in the previous section can also be used in CREATE VIEW statements.

As an example, suppose you want to create a relational view over the elements of the XML documents in the customer table to expose the customer identifier, name, street, and city values. Figure 11.7 shows the corresponding view definition plus an SQL query against the view.

Figure 11.7. Creating a view over XML data CREATE VIEW custview(id, name, street, city) AS SELECT x.custid, x.custname, x.str, FROM customer, XMLTABLE('$i/customerinfo' PASSING info AS "i" COLUMNS custid INTEGER PATH '@Cid', custname VARCHAR(30) PATH 'name', str VARCHAR(40) PATH 'addr/street', place VARCHAR(30) PATH 'addr/city' ) AS x; SELECT id, name FROM custview WHERE city = 'Aurora'; ID NAME ----------- ------------------------------ 1003 Robert Shoemaker 1 record(s) selected.

The query over the view in Figure 11.7 contains an SQL predicate for the city column in the view. The values in the city column come from an XML element in the underlying XML column. You can speed up this query by creating an XML index on /customerinfo/addr/city for the info column of the customer table. DB2 9 for z/OS and DB2 9.7 for Linux, UNIX, and Windows are able to convert the relational predicate city = 'Aurora' into an XML predicate on the underlying XML column so that the XML index can be used. This is not possible in DB2 9.1 and DB2 9.5 for Linux, UNIX, and Windows. In these previous versions of DB2, include the XML column in the view definition and write the search condition as an XML predicate, as in the following query. Otherwise an XML index cannot be used.

SELECT id, name FROM custview WHERE XMLEXISTS('$INFO/customerinfo/addr[city = "Aurora"]')

IT Skills Poised To Pay | real questions and Pass4sure dumps


IT Skills Poised To Pay

Advances in mobility, cloud, Big 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 impact on salaries and where the demand for expertise is headed.

  • By David Foote
  • 12/05/2016
  • It's difficult to find an employer not struggling to come up with a unique tech staffing model that balances three things: the urgencies of new 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 choose 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 be 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, Big Data advanced analytics, cybersecurity, and new mobile and cloud computing capabilities. Consequently, tech professionals and developers must align their skills and interests accordingly to help 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 all sizes are seeking tech professionals and developers with the proper skills, knowledge, and competencies to create more agile and responsive environments.

    At the same 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 have many IT managers saying they can't find adequate labor to help them protect their existing networks and endpoints. The latest reminder was in the spotlight following the most powerful denial of service (DoS) attack to date in late October resulting from unprotected endpoints on surveillance cameras. IoT, machine-to-machine communications and telematics have introduced new complexities ranging from the need to better secure the devices and the delivery points to which they connect. Meanwhile, the growing IoT landscape is unleashing an exponential flood of new data from hundreds of millions of devices, and organizations need to blend their IT and operational systems and find people with Big Data analytics skills to handle the cloud-based machine learning infrastructure that's now emerging. This generational shift in IT will put a premium on, or create a baseline requirement for, IT professionals willing to follow the money and see where their skills will be 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 important to understand that the supply-and-demand aspect that drives compensation is also a moving target. IT pay has a long history of volatility and in 2016 they have seen even sharper swings in those premiums. Based on hiring patterns, the following overriding trends will drive market demand for IT professionals who have the experience, drive and skills to deliver solutions:

  • Cybersecurity: The need 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 be strong for the coming years as the threat landscape continues to become more complex and confounding. The elimination of traditional boundaries brought about by cloud computing and mobility and a massive new 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 mix of the two. The move to these elastic infrastructures and op-ex approach to IT is also enabling high-performance computing and storage capacity that's ushering in the ability to perform workloads and software-defined automation not possible with traditional client server or Web application tier infra­structures. Likewise, the move to cloud service-based apps such as Salesforce, Office 365 and Workday, to name just a few, is shifting the need for those with skills in building and managing traditional packaged software to those proficient in these new 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 move toward digital transformation is all about empowering users to make quick decisions based on an overwhelmingly massive groundswell of data to be curated from new 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 development is taking hold as the move to digital transformation, or at least the plan to do so, means organizations must be more agile. A more rapid release cadence in software delivery -- from Windows and Office to open source environments and vertical applications -- requires that IT shops can build, deliver and manage systems with these dynamics. Likewise, new programming environments and frameworks such as containers and micro-services are enabling new classes of cloud-native applications designed for new classes of devices and intelligent and modern infrastructure.
  • Digital Business Transformation: This is the end goal of many organizations that fear, rightfully so, their business models are at risk unless they can become digital businesses. This is the culmination of the four areas just noted but also includes the ability to leverage advances in UX and UI design and the ability to lever­age IT to help companies build new products, services and support 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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