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COG-135 exam Dumps Source : IBM Cognos 8 BI OLAP Developer

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IBM integrates industry intelligence and records science with fresh foremost supersede to Cognos Analytics | killexams.com existent Questions and Pass4sure dumps

extra agencies are on a quest to build utilize of synthetic intelligence as a aggressive expertise. IBM is on a mission to build this more convenient and more accessible for any organization by the utilize of the cloud. The industry has announced a brand fresh version of its Cognos Analytics answer, which integrates enterprise intelligence and records science applied sciences into a suite of tools purchasable on IBM Cloud.

the key fresh features of this unencumber are a fresh AI helper and pattern detection potential. The AI helper allows users to build queries and then acquire results in natural language. according to IBM, this makes it more straightforward to now not handiest search for answers, but subsist mindful the spot they near in.

sample detection identifies and items essential relationships within data, declaring patterns that may additionally now not were considered previously. by using detecting patterns, the device can collect rid of blind spots or guesswork in evaluation, the company explained.

“When mixed with the foundational governance and absorb faith capabilities developed into Cognos Analytics, which deliver information policy, relevancy, integrity and security, AI helper and pattern detection will provide users now not handiest speedy access to insights, but added self assurance in the consequences,” Greg Adams, vice president of edifice for industry analytics at IBM, wrote in a post.

This version also adds storytelling, which makes it feasible for clients to create interactive narratives by means of assembling visualizations into a sequence after which improving it with media, net pages, photographs, shapes, and check.

wise exploration will aid users subsist capable of greater choose into account what’s at the back of their results by examining it with desktop gaining knowledge of and pattern detection. The device will also advocate the most advantageous visualization of consequences through a multi-stage suggestion equipment.

The paraphernalia assembles fresh content material quickly by means of re-the usage of significant components from existing dashboards.

finally, it has superior analytics that consist of predictive analytics, the capability to determine records patterns and variables using a sunder influence, sensible annotation, and herbal language generated insights of records.

“Analytics, information science and enterprise intelligence, absorb become table stakes within the company world,” wrote Adams. “They’re fragment of the primary edifice blocks, or rungs in the Ladder to AI, as they focus on. And we’ve labored challenging to build these subtle, complicated technologies smooth to entry, convenient to use, and simple to grasp for just about any – every bit of by the utilize of the IBM Cloud. They deem businesses internationally will remark precise value in it and begin making even superior, greater strategic decisions to propel their corporations into the longer term.”


IBM pushes automation, NLP in Cognos Analytics 11.1 update | killexams.com existent Questions and Pass4sure dumps

IBM has added a host of AI-powered tools to its BI platform, Cognos Analytics, to permit more superior analytics, whereas at the equal time making the platform easier for patrons to use, the enterprise pointed out.

the brand fresh Cognos Analytics eleven.1 platform elements involve an AI assistant, pattern detection, visualization recommendations, greater storytelling tools, and more advanced analytics and predictive analytics capabilities.

The replace, printed in a Sept. 27 IBM weblog post, represents a "large investment," referred to Greg Adams, vp of IBM enterprise Analytics, in an interview. the fresh equipment, beyond adding greater superior capabilities, also build the platform less demanding to build utilize of for nondata-oriented employees and citizen statistics scientists -- a class of clients that has been turning out to subsist abruptly.

Following a vogue

the fresh aspects in Cognos Analytics 11.1 build "the platform an abominable lot less complicated to utilize to generate insights, chiefly the natural language search, which makes it feasible for clients to absorb precise conversations with the information," observed Wayne Eckerson, founder and most necessary consultant at Eckerson group.

IBM is [in the] heart of the pack, which is a tad astounding, given their Watson heritage. Wayne Eckerson, Eckerson neighborhood

"It automates statistics guidance and records modeling tasks, so analysts can heart of attention greater on insights. It also auto-generates insights according to a container of pastime chosen via a person, the utilize of algorithms to tease out key drivers of a metric, as an instance," he persevered.

nonetheless, Eckerson cited, these are features that "all of the BI carriers are racing to contain."

"Some are a bit bit ahead of others, however most will grow to subsist in the equal district in 18 months. IBM is [in the] middle of the pack, which is a tad unbelievable, given their Watson heritage," he talked about.

earlier this year, BI software vendor Alteryx Inc. released Alteryx 2018.three, which delivered stronger visualization capabilities and set the stage for future updates that are said to enhance the platform's augmented intelligence and sensible capabilities.

Tableau additionally made a flux so as to add extra automation to its structures this 12 months with the acquisition of MIT startup Empirical techniques. The startup labored on a platform to immediately model statistics for evaluation, and it gives predictive insights into that records -- aspects that Tableau stated it'll toil to add into its personal platforms.

Cognos Analytics 11.1 Cognos Analytics eleven.1 allows short comparisons of two visualizations in a fresh exploration device. less difficult to use

in accordance with Adams, at IBM, "we understand to truly aid people ascertain insights, to truly subsist self-carrier skill people requisite to subsist instantly given insights, automatically absorb issues brought to their attention, and they should absorb issues subsist truly approachable."

That strategy is mirrored in the fresh AI Assistant. Taking expertise of recent herbal language processing (NLP) capabilities, the helper in Cognos Analytics 11.1 permits users to classification in questions and instructions, akin to a command to subsist fragment of records sets.

"the necessary thing with the dialog expertise, or not it's not whatever thing that they desired to bolt onto the facet," Adams talked about. "We actually tried to inject it, so it subsist a fragment of your mediocre move."

advanced analytics

the fresh AI technologies in Cognos Analytics eleven.1 toil well with the newly added superior analytics tools, Adams mentioned.

The platform now has pattern detection, which could automatically ascertain and present relationships in facts it really is being explored.

looking at a inevitable visualization, as an example, the platform will instantly locate connected visualizations that may well subsist used, Adams spoke of. When selecting facts, the paraphernalia will additionally supply options for visualizations.

With a fresh exploration device in Cognos Analytics 11.1, clients can drag and drop two visualizations for a "brief side-by pass of-side evaluation" a honorable pass to automatically behold for relationships, Adams observed.

The supersede also includes more advantageous predictive analytics capabilities; more information storytelling options, with the capability to create interactive narratives with sequenced visualizations and media; and less difficult-to-use reporting equipment.

environment apart and looking out ahead

whereas Adams acknowledged different BI platforms absorb currently included equivalent points, he claimed IBM's consideration to statistics governance sets Cognos Analytics 11.1 apart.

"one of the vital first-class issues about Cognos is its enterprise-grade, trusted environment," he said, adding that IBM has also added a device to instantly become alert of AI bias.

besides the update, IBM has launched a fresh subscription pricing mannequin for the platform. The model units the platform into three tiers: lite, top class and commercial enterprise. The Cognos Analytics eleven.1 supersede is attainable for the highest tier as of Sept. 28, and it'll subsist available on the other tiers by the conclude of the 12 months, in response to IBM.


Hess company Selects IBM Cognos utility as company Intelligence benchmark | killexams.com existent Questions and Pass4sure dumps

BURLINGTON, Mass.--(company WIRE)--Cognos, an IBM enterprise and world leader in enterprise intelligence and performance management solutions, today announced that Hess enterprise has chosen IBM Cognos BI to convey a full orbit of company intelligence capabilities across its advertising and Refining firm.

a leading international built-in energy business, Hess supplier is engaged within the exploration and production of raw oil and natural fuel, as smartly as the construction and sale of subtle petroleum, natural fuel, and electrical energy products. looking to deliver unified entry to vital tips in its downstream operations, Hess executives determined to standardize its efficiency administration on a unique BI solution.

After an extensive evaluation of competitive choices, Hess chose Cognos because it provides the comprehensive spectrum of industry intelligence functionality on a unique platform, simplifying deployment and use. principally, Hess will utilize IBM Cognos 8 enterprise Intelligence (BI) within its retail, refining, finance, power advertising and corporate divisions, connecting every bit of information privilege into a single, commercial enterprise view to deliver more suitable visibility into core industry drivers akin to consumer profitability, stock degrees, and possibility positions. Finance managers and enterprise analysts, for example, will utilize the application to research performance developments and most efficient mannequin future yr increase. In retail, IBM Cognos BI might subsist used to advocate its U.S. chain of over 1,300 Hess gasoline stations and Hess specific convenience shops, assisting managers facilitate analysis and reporting on key reclaim operations metrics – together with product, class and segment revenue, store efficiency in opposition t plan, and save-with the aid of-shop comparisons – with a view to with no pains establish trends and build crucial adjustments that power consumer pride and ecocnomic boom.

Hess operations and advertising managers will even subsist able to utilize IBM Cognos eight BI analysis for Microsoft outstrip to office multidimensional analysis on their statistics using a close spreadsheet atmosphere. With IBM Cognos 8 Go! cellular, company executives, in addition to regional and district managers, will subsist in a position to utilize their instant handheld devices to read and securely interact with company performance counsel and build counseled choices regardless of their region or time.

"IBM Cognos BI presents Hess the most fulfilling strategy to arming management with self-service access to their information if you want to finally result in more streamlined operations and more suitable resolution-making,” spoke of Jeff Steinhorn, Chief suggestions Officer at Hess company. “we've a single, intuitive industry intelligence reply that moves us to an ambiance the spot they can build the most and interact with every bit of of their counsel programs to stronger determine trends, drill-down into details, and deportment performance analysis throughout the downstream organization.”

IBM Cognos eight enterprise Intelligence gives resolution makers at every bit of stages of the enterprise with groundbreaking capabilities to stronger manipulate efficiency by using offering a consistent, accurate view of every bit of company counsel. As a complete, bendy product, IBM Cognos eight BI comfortably integrates into latest infrastructures with dissimilar systems and data sources. Its simplified BI atmosphere improves consumer adoption, makes it feasible for enhanced choice-making, and gives a robust basis for departmental BI, industry BI and performance management.

“performance administration is every bit of about empowering the preempt users with the correct suggestions to build the variety of choices that can positively absorb an repercussion on consumer carrier, operations and overall organizational increase,” pointed out Susan Gold, vp of industry advertising and marketing & options at Cognos. “we are arrogant to peer such a honorable company as Hess service provider build investments their absorb faith in their options, recognizing the necessary position IBM Cognos solutions play in assisting them compel visibility into corporate efficiency and allow a precise on-demand commercial enterprise.”

About Hess:

Hess organization, with headquarters in ny, is a world built-in energy industry engaged in the exploration, production, purchase, transportation and sale of raw oil and herbal gasoline, as well as the creation and sale of refined petroleum, natural gas and electricity products. greater guidance on Hess industry enterprise is purchasable at www.hess.com.

About Cognos, an IBM business:

Cognos, an IBM company, is the realm leader in industry intelligence and performance administration solutions. It offers world-type enterprise planning and BI software and features to advocate companies plan, choose into account and manipulate fiscal and operational efficiency. Cognos became bought by IBM in January 2008. For more assistance, visit http://www.ibm.com/application/information/ and http://www.cognos.com.

Cognos and the Cognos logo are trademarks of Cognos ULC (formerly Cognos included) within the united states and/or other international locations. IBM and the IBM logo are trademarks of alien company Machines agency within the u.s., or different countries, or each. other business, product, or provider names may subsist trademarks or provider marks of others.

notice to Editors: Copies of previous Cognos press releases and company and product tips can subsist organize on Cognos' internet web site at http://www.cognos.com


COG-135 IBM Cognos 8 BI OLAP Developer

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COG-135 exam Dumps Source : IBM Cognos 8 BI OLAP Developer

Test Code : COG-135
Test name : IBM Cognos 8 BI OLAP Developer
Vendor name : Cognos
brain dumps : 69 existent Questions

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Using OLAP with ColdFusion | killexams.com existent questions and Pass4sure dumps

As a ColdFusion developer, you are no doubt frequently asked for Web-based reports on data such as sales, site hits, project metrics, and other necessary industry information. Users often want features such as the skill to filter or sort by any column, to drill down into the data, or to re-arrange the report to their liking. These can subsist time-consuming tasks for developers to implement.

This is where Online Analytical Processing (OLAP) comes in. OLAP is a technology for accomplishing every bit of of the above tasks with ease. It is a data engine designed to analyze multidimensional data sets such as sales totals over product family, geographical region, and time period. If you've ever created a pivot table in Excel, then you already understand the basic model of OLAP, as pivot tables are a basic client-side OLAP tool.

To implement OLAP you might deem you absorb to buy expensive client and server tools such as Cognos, Hyperion, or Microstrategy. But if you own SQL Server 2000 you already absorb a mighty OLAP setup, because it is bundled and licensed with the companion product, Analysis Services, which I'll shortcut to "MSOLAP."

In this article I'll first give an overview of data warehousing and then briefly note you how to set up the MSOLAP server and how to toil with a data cube. Finally, I will note you how to create outstrip spreadsheets and Web pages with interactive OLAP capabilities and how to query a MSOLAP cube via <CFQUERY>.

Data Warehousing and OLAPBefore you dive into OLAP technology, you must first understand the basic concepts of data warehousing. The terms "data warehouse" and "data mart" mention to read-only databases whose purpose is to tow in data from other databases, scrub and normalize the data, and then optimize it for query performance. These functions are commonly referred to as "ETL," for extraction, transformation, and loading.

If you absorb an environment where you absorb to tow in information from multiple databases and/or Run some data cleansing algorithms, you would subsist well served to set up an intermediary database. Using DTS packages or third-party ETL tools you can tow and clean the data from multiple sources. Then you point the MSOLAP server to this intermediary database for its data source. OLAP itself is not meant for data cleansing tasks; you should treat data cleansing and data analysis as two different steps in the OLAP progress process.

Data warehouses reduce the query load on your primary online transaction processing (OLTP) databases, which should subsist optimized for the quickest application performance. Data warehouses and OLAP are meant to offload the intensive reporting or data mining-based queries from the OLTP system. OLAP queries usually Run very quickly, as many aggregations (a.k.a. "group by" results) are precomputed and stored, so querying 8 billion rows of source data can subsist as expeditiously as querying 8 rows, once the data is pulled into the cube (more on cubes shortly).

OLAP systems should not subsist expected to store real-time data, since refreshing the OLAP system can choose time and spot a load on the source system(s). You should schedule data refreshes on an interval during nonworking hours.

Getting StartedMSOLAP is installed by running a sunder installer from that of the SQL Server; it is located in the /MSOLAP folder of the installation CD. Run the setup program and build certain every bit of the components are installed. Once you've installed it, build certain to apply the latest Analysis Services Service Pack (as of this writing, it's SP3) from the Microsoft site on your server and any administrator clients. Note that this is not the selfsame SP3 as SQL Server; it is a sunder package.

Once you absorb installed and patched the MSOLAP server you can open the Analysis Manager MMC console to toil with the server, as shown in design 1. With MSOLAP 2000 this is a sunder administrative implement from SQL Server Enterprise Manager, but in the forthcoming product version 2005, they will subsist combined into one tool.

In the Analysis Manager MMC you will remark a tree of objects, starting with the server name. Under the server (in this case QBIC1) you will remark the preinstalled FoodMart 2000 database. This database is used in the online documentation and in many companion books. I will utilize the FoodMart 2000 database to justify query options with ColdFusion, and you can then apply the concepts to your own cube.

In MSOLAP, databases are containers for data sources, cubes, security roles, and other shared elements. You can perform administrative tasks such as backups or data refreshes at the database level, so it's best to group each major theme district into a database.

At the next plane down in Analysis Manager tree you will remark the list of cubes. Cubes are the heart of OLAP, as they are the containers for the data, relationships, and calculations of your data model. To remark the cube elements, right-click on a cube and select "edit" to view the cube editor window, as shown in design 2. From this view you can edit the cube or browse the cube's data by clicking the data tab at the bottom.

The tables on the privilege delineate the physical tables from which the data are drawn. These tables are arranged in a "star schema" format, in which a central "fact" table is accompanied by one or more "dimension" tables. Note that this is only a visual representation of the source tables and their relationships; it is not a database view, and it cannot subsist queried directly. Fields from these tables are used to create cube dimensions and measures, listed in the cube object tree on the left, which are what they query from an MSOLAP data source.

Facts tables contain the numeric fields they want to perform mathematical operations on (such as sum, count, or average). These fields are known as measures in OLAP vocabulary. In their sales sample each line detail in an order comprises one row in the fact table; each row in the fact table contains the measures store sales, store cost, and unit sales. They can also easily create calculated members such as profit (which is simply [store sales - store cost]) to complement fact tables.

Dimension tables contain the data elements you will utilize to sunder the measures into categories such as product family or geographical region. Dimensions are used for anything you want to filter by or drill down by. You can choose a simple dimension employing just one level, such as gender, or you can absorb a more complicated dimension such as product, which employs six levels of drill-down detail. Here, note that the gender dimension came from the unique customer dimension table only, but the product dimension came from the combination of the product and product class dimension tables. Combinations of dimension tables are known as "snowflake" schemas.

To review, fact tables contain the numerical data (measures) they want returned by MSOLAP, whereas dimension tables contain the categories by which the measures can subsist separated. At this point you understand the basics of the OLAP data model and are ready to remark it in action. Next I'll dispute how to query the server with MS Excel.

Querying MSOLAP with ExcelOne of the benefits of OLAP is the skill to allow your users to define their own reports and arrange the data the pass they like. Most adept computer users are close with Excel, which is a perfect client implement for querying MSOLAP. As a developer, you requisite only set up a workbook with interactive pivot table functionality, and the client can utilize the workbook as a fully customizable query tool. result these steps to setup an MSOLAP client workbook:

  • In a fresh outstrip workbook, click Data>Import External Data>New Database Query.
  • On the OLAP Cubes tab click <New Data Source>. Its name can subsist FoodMart Sales, and its provider is "Microsoft OLE DB for Olap Services 8.0."
  • Click connect, click Analysis Server, and enter the server name. The database is FoodMart 2000, and the cube is Sales.
  • Now you can connect to the OLAP datasource and create a fresh pivot table in a fresh worksheet.
  • You now absorb a full-fledged OLAP client that your users will like, because it supports drill-down, drag-and-drop pivoting, and filtering on both grids and charts. Users can effectively create their own reports, customize their appearance, and utilize OLAP data as a basis for other worksheets or reports, with data being automatically refreshed from the server.

    Make certain to test whether your users can access the spreadsheet and pivot the data from their machine. They requisite MDAC 2.7 and the Pivot Table Services drivers. If they are using Windows 2000 or Office 2000, they won't necessarily absorb the "Microsoft OLE DB for OLAP Services 8.0" driver mentioned in step 1 above. You can utilize the older driver set included in Office 2000, but it doesn't advocate every bit of the newest cube features. The easiest solution to collect your clients' machines up to date is to deal the newer driver package (ptsfull.exe) organize on the SQL Server installation CD or on the Microsoft Web site.

    Excel Over the WebYou can publish those selfsame interactive pivot tables and charts to clients as ActiveX objects embedded in any Web page provided the clients absorb met the outstrip requirements mentioned above and absorb IE 5.01 or higher installed (see design 3). The simplest pass is:

  • With their pivot table spreadsheet in Excel, choose File>Save As Web Page...>Selection: Sheet, with Add interactivity turned on. Click Publish. Select which nature of page to create, and select HTML. Click the "add interactivity" button, and select PivotTable functionality.
  • Save this page to your Web server, and give it any Web extension, e.g., .htm or .cfm. The first time it is viewed by users' IE browsers it will note them a security warning. Users can avoid this in the future if they add the site to their list of trusted sites in IE's security options.
  • The data source connection that you configured in the spreadsheet is hard-coded into the generated object code, so you don't absorb to set up the selfsame data source on each client that was set up in the original spreadsheet.

    If you want more control over the data and formatting options, you can interact with the ActiveX object using VBScript. The documentation on this is available on the MSDN site; just search for "PivotTable List Control."

    Connecting with ColdFusionSecurity or client configuration issues may rule out outstrip as an option. If so, you can simply utilize MSOLAP as a natural database to query with ColdFusion and CFQUERY.

    The quickest pass to connect ColdFusion to MSOLAP is not to set up a fresh data source, but to reuse your existing data source for SQL Server. You simply set up a linked server on the SQL Server that points to the Analysis Server and passes through the query requests. Then you connect ColdFusion to your natural SQL Server using CFQUERY.

    To set up a linked server on SQL Server, just click on Security>Linked Servers>New Linked Server. The driver nature is again "Microsoft OLE DB Provider for OLAP Services 8.0," the data source is the OLAP Server name, and the catalog is the OLAP database name surrounded by square brackets. Once you absorb this (or any other) linked server configured, you can query that data source via SQL Server using the OPENQUERY function, which passes the query through to the host server. I will demonstrate this capability shortly.

    MSOLAP supports a subset of the SQL query language, but you will Run into its functional limits very quickly. You are better off using the MSOLAP engine's built-in query language, Multi-Dimensional Expressions (MDX). It is similar to SQL, in the sense that it has SELECT, FROM, and WHERE clauses, but the query format is very different.

    To collect started using MDX, you can utilize the provided MDX sample application shown in design 4. In this query they asked for the store states as rows, and the product family as columns. They are asking for a multidimensional recordset, in which rows are not numbered 1-n, but actually absorb data attached to them. Notice that the WHERE clause doesn't filter the recordset the pass SQL does; it is used to specify which measure they want to behold at, in this case, store sales.

    Listing 1 shows the code to Run the selfsame query Run through CFMX, and design 5 shows the result. They don't absorb the option of getting a multidimensional result returned through a benchmark query, so it gets flattened by SQL Server into a compatible recordset.

    In design 5, notice that the "rows" data are flattened into columns. In fact, the entire hierarchy of the dimension requested as rows is returned as sunder columns, and the text "member_caption" is appended to every bit of the column labels. Additionally, the columns are returned with long, minute names that are hard to toil with. One solution to this problem is to alias the column names in your outer SQL SJ33 erver query SELECT statement so they're more useable. But if you don't know the column names in advance, you won't subsist able to finish this, so you would absorb to add logic to your ColdFusion template to parse the dynamic column names into usable text.

    As you can see, additional toil must rend into setting up the OLAP engine and query capabilities through ColdFusion. For a simple query of store sales by region and product family, the OLAP solution is overkill. But OLAP offers powerful statistical or analytic functions for industry intelligence - such as time-series analysis - that are not readily available in SQL.

    The next sample highlights some more advanced features of MSOLAP (see design 6). This query returns the store sales, three-quarter touching average, and incompatibility from the previous quarter, grouped by product category for 1997 sales data. This would subsist a much more difficult query to develop in benchmark SQL, don't you think?

    Wrap-UpAt the time of this writing, Microsoft has released its next major SQL Server version (2005) to beta. Reporting and industry intelligence are more of a priority for this package, so they will remark better ETL tools, tighter integration with SQL Server, and more powerful cube and MDX features. choose a behold at www.microsoft.com/sql for further information.

    I hope this has been a useful overview of MS Analysis Services and query options over the Web. For more information about getting started, I recommend the book, SQL Server 2000 Analysis Services, Step by Step, by Reed Jacobson, published by Microsoft press. You can also find honorable information in the books online documentation provided with the SQL Server package. You'll remark that creating an OLAP cube can subsist quick and easy, and can provide you with more data analysis options for your applications.


    IBM to Pay $5B for Cognos | killexams.com existent questions and Pass4sure dumps

    No result found, try fresh keyword!IBM said Monday it has agreed to acquire Canadian industry intelligence software developer Cognos for $58/share, or about $4.9 billion, a 9.5% premium to its Friday nearby of $52.98. "Customers are dem...


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