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BI0-122 Cognos 8 BI Administrator v2

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BI0-122 exam Dumps Source : Cognos 8 BI Administrator v2

Test Code : BI0-122
Test appellation : Cognos 8 BI Administrator v2
Vendor appellation : Cognos
: 45 existent Questions

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Cognos Cognos 8 BI Administrator

Cognos Launches Cognos eight BI v3 | killexams.com existent Questions and Pass4sure dumps

Cognos a issuer in enterprise intelligence and performance management options, these days launched Cognos 8 BI v3 which contains novel and more desirable BI user capabilities and advances in its SOA-based mostly business-type platform. These novel developments are designed to successfully supply groups with greater centered efficiency information throughout a broader and extra discrete scope of decision-makers, with extended modeling and administration capabilities to simplify deployment and protection for administrators. Cognos eight BI v3 is the third fundamental release of Cognos’ company intelligence flagship that turned into delivered in 2005. It addresses the needs of tremendous organizations and mid-market organizations alike as they capitalize on their ERP investments and gyrate statistics into actionable, distinguished performance counsel for greater determination-making across industries. novel highly centered tips birth and better evaluation capabilities let expertise laborers, starting from entrance-line managers to executives, acquire strategic industry assistance where, when and how they requisite it to obtain greater selections. novel deployment and administration advances additionally obtain it easier for IT directors to set up and manage their efficiency management ambiance, while growing to live their person communities.

“Cognos eight BI v3 is a loaded product offering with robust benefits for enterprise clients who can now hoist competencies of observation-style reporting, improved navigation, richer visualization and enterprise-friendly materiel for pile OLAP cubes,” referred to Chad Erman, enterprise Intelligence Lead, Southwestern power business. “facets enjoy briefing books, elastic assistance corporation and greater dashboard filtering aid refine the fashion and exceptional of faultfinding BI counsel it's delivered to key people, departments and company companions. With this product, both midsize corporations and big organizations should live in a position to expand the cost and relevance of their BI information throughout perfect stages and services of the company.”

This BeyeNETWORK information merchandise consists of counsel from a fresh press release via the enterprise mentioned.


KSA grocery store shops for Cognos | killexams.com existent Questions and Pass4sure dumps

Al Raya grocery store chain in Saudi Arabia is deploying the Cognos 8 enterprise Intelligence (BI) solution to carefully computer screen and analyse its enterprise practices.

The chain signed a condense with Cognos' regional accomplice cutting edge technology features (Lets) remaining week, and the methods integrator will head up deployment of the dealer's flagship product.

Al Raya observed it selected Cognos to gain a much better figuring out of client require and logistics, as well as analyze lengthy-term client behaviour, in order to boost its market partake in the Kingdom.

The chain is likely one of the greatest supermarkets in the southern and western provinces of Saudi Arabia, with sixteen branches in cities reminiscent of Jeddah, Makkah, Madinah and Taif.

"with the aim to live up to their recognition for offering a 24/7 service, the Al Raya crew absorb gone with the most reliable device accessible. we're anticipating pile on their powerful client family members the employ of the newest recommendations and technologies," talked about Majid Al-Kammash, director of Al Raya.

Derek Morrison, regional regular supervisor at Cognos center East, eminent Cognos 8 BI would supply a constant, amend view of recommendation to enhanced control performance.

"it's a sturdy expertise foundation for BI standardisation and company performance administration. it is effortless to installation and administer, and is incredibly versatile," he added.


Cognos Launches Cognos eight industry Intelligence international | killexams.com existent Questions and Pass4sure dumps

Cognos showcases novel groundbreaking company intelligence solution in 12 cities --

ny, Sept. 14 -- Cognos (Nasdaq: COGN; TSX: CSN), the world leader in company intelligence and corporate efficiency management (CPM), nowadays introduced that Cognos eight enterprise Intelligence, the business's first internet-capabilities primarily based respond that provides the finished latitude of BI functionality in a sole product on a proven, sole structure, might live showcased in 12 cities international these days. Cognos eight BI may live unveiled globally at simultaneous events in novel york, San Francisco, Chicago, Toronto, Amsterdam, Buenos Aires, London, Munich, Paris, Stockholm, Vienna and Zurich.

on the worldwide launch undergo today in novel york at 12:00 p.m. ET, Cognos CEO Rob Ashe will focus on how Cognos 8 BI gives the mandatory basis for advantageous performance management, which is now becoming an crucial for organizations worldwide. he will define how the customer-focused revolution Cognos initiated in commercial enterprise reporting in 2003 is fulfilled and more desirable with Cognos 8 BI, so one can serve because the novel sole made from alternative for BI standardization.

Featured Gartner speakers Howard Dresner and invoice Hostmann will partake their insights on why organizations should standardize their BI, the deadly flaws of industry intelligence and the pass corporations can evade them.

Cognos 8 BI has been rigorously established via more than 100 companies international. Sherry Neubert, construction supervisor, industry records Warehouse, The Goodyear jade & Rubber enterprise, will live fraction of the launch adventure to talk about insights into the novel and wonderful enhancements and standardization alternatives the product provides to international enterprises.

Webcast and satellite tv for pc Broadcast Coordinates:

A live net forged of the adventure will commence nowadays at midday ET. A replay of the web solid should live archived for 6 months following the presentation on the Cognos internet web page. To register, discuss with cognos.com/cognos8-launch/index.html?lid=congos8-launch-hpstory and scroll to the core-left side of the web page.

NA Broadcast outlets may additionally connect to the are animate satellite broadcast as follows:

reside Broadcast: 1200 - 1330 long island (EDT) / 1600 - 1730 GMTSatellite: Galaxy 11Transponder: K06 Slot CBandwidth: 9 MHzDownlink freq: 11824.5 MHz (V)FEC: 3/4Symbol rate: 6.1113Encoding: NDS MPEG-2 four:2:0 in the clearAudio: Mono, channel 1 & 2

ABOUT COGNOS:

Cognos, the region chief in commercial enterprise enterprise intelligence and company performance management, provides software and functions that assist businesses force, video panoply and understand company efficiency.

Cognos offers the next even of competitive expertise -- corporate performance management (CPM) -- carried out through the strategic utility of BI on an industry scale. Their built-in CPM solution helps consumers compel performance through planning; computer screen performance through scorecarding; and hoist into account efficiency through company intelligence.

Cognos serves greater than 23,000 purchasers in over 135 nations. Cognos enterprise company intelligence and performance administration solutions and capabilities are moreover obtainable from more than 3,000 international companions and resellers. For extra suggestions, quest recommendation from the Cognos net website at http://www.cognos.com/.

Cognos and the Cognos logo are trademarks or registered logos of Cognos incorporated in the u.s. and/or other international locations. perfect different names are logos or registered trademarks of their respective groups.

connected Thomas industry update Thomas For Industry

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Cognos 8 BI Administrator v2

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Mega-vendors dominate Gartner's 2010 BI, data warehouse Magic Quadrants | killexams.com existent questions and Pass4sure dumps

Mega-vendors soundless dominate the industry intelligence (BI) software market, but their stranglehold may live loosening as disgruntled customers commence to perceive for lower-priced, more elastic options from BI pure-plays.

SAP and IBM BI customers, in particular, report lower levels of satisfaction as the mega-vendors continue to iron out their BI product roadmaps and adjust uphold and maintenance fees, according to Gartner's BI Magic Quadrant report, released final week.

With a decrepit economy, customers are increasingly looking for cheaper, quicker-to-deploy options enjoy BI embedded within packaged analytic applications and, to a lesser extent, SaaS BI to meet their reporting and analytic needs, said Rita Sallam, an analyst with the Stamford, Conn.-based research solid and co-author of the report.

"Many [BI] pure-plays are leveraging industry user impatience with enterprise BI systems and are delivering alternative easy-to-use-and-deploy architectures, alternative industry models, and a stout customer focus -- so much so that in many cases industry users continued to buy non-stack solutions even when a stack touchstone is in place," Sallam said in an email interview.

The related data warehouse market is experiencing a similar phenomenon. According to Gartner's Data Warehouse Magic Quadrant, moreover released final week, smaller data marts and virtual data warehouses that employ federation technology are enjoying renewed popularity as companies perceive to expand flexibility while keeping costs down.

Higher performance requirements from customers are moreover pushing data warehouse vendors to better the power of their products through the addition of in-database analytics and column architectures, according to Gartner's Donald Feinberg, who co-authored the report on data warehouses.

Data warehouse appliances -- server and storage hardware bundled with analytic databases -- moreover continue to gain in popularity thanks to their ease of implementation and support, he said.

"The bottom line is [customers] want to muster one person for support" when there is a problem with performance, Feinberg said.

Still, in both markets, neither customer unrest nor the covet for quicker, cheaper deployments made much of a dent in the mega-vendors' preeminent market partake positions, Gartner said. Mega-vendors are themselves responding with more BI and DW deployment options, either developed internally or through acquisition.

"I deem there are a few reasons why customers continue to buy into the stack despite an expand in dissatisfaction," Sallam said. "Stack-centric buying is largely IT driven, and stack vendors vow a one-stop shop. They often present abysmal discounts or bundle BI platform capabilities with other parts of the mega-vendor stack (e.g., applications or information infrastructure) and present the vow of integration and optimization with their respective applications and information management stacks."

Three mega-vendors top both BI and data warehouse markets

Appearing in the leaders' quadrants in both the BI and data warehouse Magic Quadrant reports were Oracle, IBM and Microsoft.

Oracle's BI platform has the widest scope of capabilities among the top vendors, including reporting, dashboarding and ad hoc query functionality. The vendor moreover offers three discrete data warehousing options, -- Oracle Database 11g, Oracle Reference Configurations, and Oracle Exadata v2 -- "giving customers a wide variety of choices," the report said.

IBM's core BI platform, IBM Cognos 8, was cited for its architectural consistency, "with IBM Cognos customers reporting that they requisite only three administration staff per thousand users on average," the BI Magic Quadrant report states. enjoy Oracle, IBM has a number of data warehouse products to meet varying needs.

Microsoft, meanwhile, continues to obtain inroads in both markets thanks to the ubiquity of its tools -- mainly Excel, SQL Server, and SharePoint Server, according to Gartner. Microsoft will probably expand its market partake in 2010 when it debuts PowerPivot, an outdo add-on for BI and analytics, and SQL Server 2008 R2 Relational Database, which is likely to hoist the profile of an appliance.

"The significance is that perfect three … absorb the full spectrum of information infrastructure technologies from the database [including hardware in the case of IBM and Oracle] through the middleware stack and -- in the case of Oracle, SAP and Microsoft -- the enterprise applications as well," Sallam said. "Stack vendors achieve absorb an odds in that they can optimize their BI platforms for their respective application and information management stacks."

While the top positions in the BI Magic Quadrant were bunched together -- Oracle and Microsoft earned virtually the identical ranking -- Teradata was the clear leader in data warehousing. Gartner cited the vendor's products' talent to handle mixed workloads without hindering performance, including near real-time data loading, tactical industry analytics and an increasing number of ad hoc queries.

"Teradata's solutions, which involve the data warehouse platform, data models and professional services dedicated to data warehousing, set it apart from the ease of the market," Feinberg wrote.

Also earning a position in the BI leaders' quadrant were SAS Institute, Microstrategy, SAP, and Information Builders. Netezza and Sybase rounded out the leaders' quadrant for the data warehouse market.

SaaS, open source BI deployments soundless miniature but increasing

While soundless a miniature percentage of overall deployments, SaaS BI, delivered both from internal and the public cloud, is slowly but steadily gaining traction, according to Gartner.

"This growth will live accelerated by organizations' increasing requisite to deploy intuitive BI tools and applications cost-effectively to more users, reduce time to value and time to scale, and lower capital expenditures," Sallam wrote.

SAP and SAS Institute absorb the largest number of SaaS BI deployments, but smaller up-and-coming vendors enjoy Birst, GoodData, Oco and PivotLink are moreover getting attention, the report states.

Cloud-based data warehousing, on the other hand, has yet to hoist off, for a number of reasons, according to Gartner. "The issues around the security, multi-tenancy and latency of employ of the Internet as a transport for data loading are among the reasons given for the reluctance to locate the data warehouse in the cloud," Feinberg wrote.

Gartner predicted that both the BI and data warehouse markets would continue to grow this year as companies perceive to the software to gyrate their corporate data into competitive differentiators.


MicroStrategy's (MSTR) CEO Michael Saylor on Q1 2018 Results - Earnings muster Transcript | killexams.com existent questions and Pass4sure dumps

No result found, try novel keyword!Sales and marketing expenses increased to $11.8 million at 30% year-over-year and decreased $0.6 ... And so as SAP and IBM, and Oracle shift their commitments away from their BI enterprise platforms t...

Deploying a Windows Data Science Virtual Machine to Azure with PowerShell easily | killexams.com existent questions and Pass4sure dumps

This weekend (10 December 2016), I went to Slovenia for a SQL Saturday. As always, it was an improbable event well organised by Mladen Prajdic, Dejan Sarka, and Matija Lah in a fabulous setting amongst fabulous scenery. I highly recommend it and, also, Ljubljana  is a wonderful position to live in December with perfect the lights and markets.

WP_20161209_19_21_06_Pro.jpg

Whilst I was there I was asked by someone if you could deploy data science virtual machines in Azure with PowerShell. I said I was sure that it could live done and agreed I would write a blog post, so here it is.

According to the Azure documentation

The Data Science Virtual Machine running on a Windows Server 2012 contains current tools for data exploration, modeling and evolution activities. The main tools involve Microsoft R Server Developer Edition (An enterprise ready scalable R framework) , Anaconda Python distribution, Jupyter notebooks for Python and R, Visual Studio Community Edition with Python, R and node.js tools, Power BI desktop, SQL Server 2016 Developer edition including uphold In-Database analytics using Microsoft R Server. It moreover includes open source abysmal learning tools enjoy Microsoft Cognitive Toolkit (CNTK 2.0) and mxnet; ML algorithms enjoy xgboost, Vowpal Wabbit. The Azure SDK and libraries on the VM allows you to build your applications using various services in the cloud that are fraction of the Cortana Analytics Suite which includes Azure Machine Learning, Azure data factory, Stream Analytics and SQL Datawarehouse, Hadoop, Data Lake, Spark and more.

I absorb created a office to wrap around the process to obtain it easier for null PowerShell  people to achieve this. There are a string of steps to supervene below and you should live able to create a machine in about 10 minutes once you absorb completed the pre-requisites.

Enable Programmatically Deployment

First, an annoyance. To live able to deploy Data Science virtual machines in Azure programmatically  you first absorb to login to the portal and click some buttons.

In the Portal click novel and then marketplace and then search for data science. select the Windows Data Science Machine and under the blue Create button you will see a link which says “Want to deploy programmatically? fetch started” Clicking this will lead to the following blade.

set-up-programmatically

Click Enable and then rescue and you then run to PowerShell ??

Azure PowerShell Cmdlets

Follow the instructions here to install the Azure PowerShell modules. In the examples you see here I am using Windows 10 and PowerShell version 5.1.14393.479 and I installed the Azure modules using the Install-Module method

Get the script

To install a data science VM, we’ll employ the New-WindowsDataScienceVM.ps1 script. In this script, I’m using version 1.2, but any version of this script published in PowerShell Gallery is fine.

To install the New-WindowsDataScienceVM script from the PowerShell gallery, type:

Install-Script New-WindowsDataScienceVM

For  more information about using the PowerShellGet cmdlets to install scripts and modules from PowerShell Gallery, read this page. The PowerShellGet modules is included in PowerShell 5.0 and later on Windows 10, but you can install PowerShellGet for PowerShell 3.0 and 4.0. If you cannot connect to the gallery or prefer not to install the module, you can moreover find the script on GitHub.

Login to Azure

You can login to Azure using the command

Login-AzureRMAccount

which will pop-up a prompt for you to log into Azure

login

Enable Simple Mode

The New-WindowsDataScienceVM office comes with a Simple switch parameter.

If you employ -Simple, the office prompts you only for the admin username and password for the virtual machine. It creates a randomly-named, standard_DS1_v2-sized machine in the ukwest data centre with standard, locally redundant storage in a randomly named Resource Group. perfect of the required objects absorb random names, too. If that is not what you want, there is more information at the finish of this post. I am considering offering a pop-up to select location in Simple Mode. Let me know here if that would live something you would like

To create a simple data science VM, run:

New-WindowsDataScienceVM -Simple Enter Local Admin Password

When you Run the function, it prompts for a local admin username and password to log into the virtual machine. The password must absorb 3 of the following 1 Upper case, 1 lower case, I special character and 1 number. Don’t lose it, you will requisite it.

Local Admin.PNG

Grab a cuppa, creating your VM and its resources will hoist 5 – 10 minutes. (In my testing it reliably took between 7 and 8 minutes)  The screen will perceive enjoy this

deploying.PNG

When the script has finished running you will absorb deployed a set of resources enjoy this

portal

Login to the Virtual Machine

Copy and paste the correct code from the output at the finish of the script to launch the RDP session and rescue the RDP file to your documents folder for later use.

Or you can find the Virtual machine appellation in the portal or by running

Get-AzureRmVM -ResourceGroupName <ResourceGroup> | Where-Object {$_.Name -like 'DSVM*'}

You can then employ the code below to download a RDP file and log into the virtual machine using this code

Get-AzureRmRemoteDesktopFile -ResourceGroupName <ResourceGroup> -Name <VMName> -LocalPath C:\WIP\DataScienceVM.rdp -Launch

rdp file.PNG

You will requisite to login with the local admin account you set up previously, which means that you will requisite to click on more choices and then the machinename\Username. In this case the machine appellation is DSVMZIAgd

You can copy the amend Virtual Machine appellation and Username from the output at the finish of the script.

login screen.PNG

If you absorb forgotten your password, you can reset it in the Portal.

Enjoy the Data Science Virtual Machine

You are then logged in and can carry on. Once the Azure PowerShell modules and script are installed you would live able to absorb a machine up and running within 10 minutes.

vm-desktop

Cleaning Up

To remove the resource group and perfect resources in the resource group, including the data science VM, run:

Remove-AzureRmResourceGroup -Name <ResourceGroup> -Force

This will remove perfect resources in that resource group, so live careful if you absorb deployed anything else.

Customising the Deployment

If you want to employ different settings for the deployment or want to script the creation of a number of machines, you can run

Get-Help New-WindowsDataScienceVM -Full

and see perfect the options and further examples. Any questions tickle feel free to comment



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