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C2090-625 - IBM Cognos 10 BI Data Warehouse Developer - Dump Information

Vendor : IBM
Exam Code : C2090-625
Exam Name : IBM Cognos 10 BI Data Warehouse Developer
Questions and Answers : 84 Q & A
Updated On : October 22, 2018
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C2090-625 Questions and Answers

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C2090-625 IBM Cognos 10 BI Data Warehouse Developer

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C2090-625 exam Dumps Source : IBM Cognos 10 BI Data Warehouse Developer

Test Code : C2090-625
Test Name : IBM Cognos 10 BI Data Warehouse Developer
Vendor Name : IBM
Q&A : 84 Real Questions

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IBM IBM Cognos 10 BI

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

IBM has introduced a bunch of AI-powered equipment to its BI platform, Cognos Analytics, to enable greater advanced analytics, while on the equal time making the platform less demanding for buyers to make use of, the enterprise spoke of.

the brand new Cognos Analytics 11.1 platform elements consist of an AI assistant, sample detection, visualization strategies, superior storytelling tools, and extra superior analytics and predictive analytics capabilities.

The replace, revealed in a Sept. 27 IBM weblog post, represents a "large funding," mentioned Greg Adams, vice chairman of IBM company Analytics, in an interview. the new equipment, beyond including greater superior capabilities, additionally make the platform less complicated to use for nondata-oriented personnel and citizen facts scientists -- a category of clients that has been transforming into abruptly.

Following a vogue

the new aspects in Cognos Analytics eleven.1 make "the platform tons more straightforward to use to generate insights, exceptionally the natural language search, which allows for users to have true conversations with the statistics," referred to Wayne Eckerson, founder and foremost advisor at Eckerson community.

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

"It automates information coaching and records modeling initiatives, so analysts can focal point more on insights. It additionally auto-generates insights according to a box of interest selected with the aid of a person, the usage of algorithms to tease out key drivers of a metric, for example," he continued.

nonetheless, Eckerson noted, these are features that "all the BI providers are racing to comprise."

"Some are a bit bit ahead of others, but most will grow to be in the identical area in 18 months. IBM is [in the] middle of the pack, which is a tad stunning, given their Watson heritage," he stated.

previous this 12 months, BI utility seller Alteryx Inc. released Alteryx 2018.three, which added more desirable visualization capabilities and set the stage for future updates which are noted to raise the platform's augmented intelligence and sensible capabilities.

Tableau additionally made a flow to add more automation to its systems this yr with the acquisition of MIT startup Empirical techniques. The startup labored on a platform to instantly mannequin data for analysis, and it offers predictive insights into that facts -- facets that Tableau cited it's going to work to add into its own structures.

Cognos Analytics 11.1 Cognos Analytics eleven.1 enables quick comparisons of two visualizations in a new exploration device. less difficult to use

based on Adams, at IBM, "we understand to truly support people locate insights, to in reality be self-carrier potential individuals need to be instantly given insights, automatically have issues brought to their consideration, and we ought to have things be definitely approachable."

That method is mirrored within the new AI Assistant. Taking expertise of recent natural language processing (NLP) capabilities, the assistant in Cognos Analytics eleven.1 makes it possible for users to class in questions and instructions, equivalent to a command to be part of facts sets.

"the key with the dialog technology, it be no longer something that we wanted to bolt onto the side," Adams stated. "We basically tried to inject it, so it's part of your usual circulate."

advanced analytics

the new AI applied sciences in Cognos Analytics eleven.1 work neatly with the newly brought superior analytics equipment, Adams said.

The platform now has pattern detection, which may instantly find and latest relationships in statistics it truly is being explored.

looking at a undeniable visualization, as an example, the platform will automatically find linked visualizations that may be used, Adams pointed out. When determining records, the system will also supply techniques for visualizations.

With a brand new exploration tool in Cognos Analytics eleven.1, users can drag and drop two visualizations for a "brief side-via-facet assessment" in an effort to immediately look for relationships, Adams talked about.

The update also includes more suitable predictive analytics capabilities; extra information storytelling alternatives, with the potential to create interactive narratives with sequenced visualizations and media; and simpler-to-use reporting equipment.

environment apart and looking out forward

whereas Adams stated other BI platforms have lately included identical features, he claimed IBM's attention to facts governance units Cognos Analytics 11.1 apart.

"some of the exceptional things about Cognos is its commercial enterprise-grade, relied on environment," he pointed out, including that IBM has also added a gadget to immediately detect AI bias.

besides the update, IBM has released a new subscription pricing model for the platform. The mannequin sets the platform into three tiers: lite, top rate and business. The Cognos Analytics 11.1 update is accessible for the highest tier as of Sept. 28, and it will be purchasable on the other tiers by using the conclusion of the yr, according to IBM.


IBM integrates enterprise intelligence and data science with new important replace to Cognos Analytics | killexams.com Real Questions and Pass4sure dumps

greater organisations are on a quest to use synthetic intelligence as a aggressive talents. IBM is on a mission to make this simpler and greater purchasable for any company by way of the cloud. The enterprise has announced a new version of its Cognos Analytics answer, which integrates enterprise intelligence and records science applied sciences into a collection of tools available on IBM Cloud.

the key new elements of this unencumber are a new AI Assistant and pattern detection potential. The AI Assistant makes it possible for users to make queries and then receive results in herbal language. in keeping with IBM, this makes it less difficult to no longer handiest look for answers, but have in mind the place they are available in.

pattern detection identifies and presents important relationships inside data, pointing out patterns that may additionally no longer were considered previously. by detecting patterns, the device can get rid of blind spots or guesswork in evaluation, the business explained.

“When combined with the foundational governance and have faith capabilities built into Cognos Analytics, which supply records policy, relevancy, integrity and security, AI Assistant and pattern detection will give clients no longer best quickly access to insights, but brought self assurance within the outcomes,” Greg Adams, vice chairman of building for enterprise analytics at IBM, wrote in a put up.

This edition additionally provides storytelling, which allows for clients to create interactive narratives by means of assembling visualizations into a series and then bettering it with media, internet pages, images, shapes, and verify.

wise exploration will support users be able to more advantageous take note what’s at the back of their effects by means of examining it with desktop getting to know and pattern detection. The device will also suggest probably the most beneficial visualization of consequences through a multi-stage suggestion system.

The equipment assembles new content material directly by means of re-using principal add-ons from latest dashboards.

at last, it has advanced analytics that encompass predictive analytics, the skill to identify records patterns and variables using a definite outcomes, wise annotation, and natural language generated insights of statistics.

“Analytics, facts science and company intelligence, have become table stakes within the business world,” wrote Adams. “They’re a part of the simple building blocks, or rungs within the Ladder to AI, as we discuss. And we’ve worked difficult to make these refined, advanced applied sciences effortless to entry, convenient to use, and easy to grasp for virtually any – all by means of the IBM Cloud. We suppose groups across the world will see true cost in it and begin making even superior, extra strategic choices to propel their companies into the future.”


IBM's Cognos intros new BI aspects for dissimilar cell instruments | killexams.com Real Questions and Pass4sure dumps

Apple's iPhone is rarely the most effective machine to get new guide from an IBM division this week. business clients of windows cellular, RIM, and Symbian devices can now get greater businss intelligence capabilities from IBM's Cognos division.

Two days after IBM's Lotus division rolled out new utility for getting access to Notes mail from Apple iPhones, IBM's Cognos division has delivered more performance for the usage of its company intelligence (BI) application on other instruments, including home windows cell, RIM Blackberry, and Symbian handhelds.

introduced Thursday, IBM's Cognos 8 v4 unlock provides new Flash-primarily based, self-carrier dashboard capabilities and interfaces designed for getting access to and interacting with enterprise search engines like google and desktop productivity apps from either pcs or cellular gadgets.

Cognos additionally unveiled new performance for Cognos eight Go! cell geared toward using GPS to carry BI capabilities to mobile instruments according to the consumer's vicinity.companies can now instantly modify database experiences, for instance, counting on where the cell consumer is centered.

considering that acquiring Cognos well-nigh a 12 months ago, IBM has been working on an "counsel on Demand" (IoD) architecture by which Cognos BI equipment on the front conclusion work along with a backside layer that may consist of any of a large variety of returned end databases and content material administration systems.

reckoning on the particular database or content material managment system, the advice might consist of relational database tables, POS records, or "flat file" information such as e-mails and Microsoft Excel spreadsheets, for example.

in the center of this architecture is a software layer it is essentially used for extracting counsel from the quite a few databases and content material management techniques and "reworking" or changing it to formats that can be conveniently presented to conclusion clients through quite a few GUIs, stated Marc Andrews, Marc Andrews, IBM's supervisor director for IoD and Cognos advertising, in an past interview with BetaNews.

IBM is no stranger to proposing assistance on cellular GUIs, anyway. Lotus has been notably active in producing application for getting access to and interacting with business suggestions on BlackBerries. And on Tuesday, Lotus introduced the iPhone edition of its Domino web entry. referred to as iNotes ultralite, or not it's designed to let cell company employees use Apple's Safari browser for having access to their Notes e-mail, contact information, and calendars on their iPhones.


C2090-625 IBM Cognos 10 BI Data Warehouse Developer

Study Guide Prepared by Killexams.com IBM Dumps Experts


Killexams.com C2090-625 Dumps and Real Questions

100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers



C2090-625 exam Dumps Source : IBM Cognos 10 BI Data Warehouse Developer

Test Code : C2090-625
Test Name : IBM Cognos 10 BI Data Warehouse Developer
Vendor Name : IBM
Q&A : 84 Real Questions

C2090-625 Questions and answers required to pass the certification examination on the start try.
I still remember the hard time I had whilst getting to know for the C2090-625 exam. I used to are trying to find assistance from pals, however I felt most of the material turned into indistinct and beaten. Later, I determined killexams.Com and its Q&A material. Through the valuable material I found out the entirety from pinnacle to backside of the provided cloth. It changed into so unique. In the given questions, I answered all questions with ideal choice. Thanks for brining all of the countless happiness in my career.


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IBM Cognos 10 BI Data Warehouse Developer

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GPU-accelerated Data Warehouse SQream DB Boosts Query Performance by Up to 150% for IBM POWER9 Users | killexams.com real questions and Pass4sure dumps

NEW YORK, October 3, 2018 /PRNewswire via COMTEX/ -- NEW YORK, October 3, 2018 /PRNewswire/ --

SQream, developer of SQream DB, the GPU-accelerated data warehouse for rapidly analyzing massive data stores at a fraction of the cost, announced today at the OpenPOWER Foundation Summit in Europe, that SQream DB now includes optimized support for the IBM POWER9 multi-core architecture.

The powerful trinity of SQream DB, IBM POWER9 and NVIDIA GPUs results in advanced performance, with SQL query performance improvements of up to 150% versus GPU-equipped x86 servers, with reduced cost and systems complexity.

Get hands - on with a free SQream DB trial here .

"GPU-accelerated analytics are an increasingly important part of our industry," said Sumit Gupta, VP of HPC and AI for IBM Cognitive Systems. "The announcement of SQream on the IBM POWER9 platform takes this concept to another level of performance, as the POWER9 CPU with embedded NVIDIA NVLink interface to NVIDIA's GPUs allows SQream to enable even faster processing of data on POWER9 servers."

The integration of SQream DB with IBM Power Systems is the latest in a series of collaborations between SQream and IBM, which started with SQream DB on IBM's Bluemix service. The latest offering on IBM POWER9 takes advantage of POWER9's industry-exclusive CPU-to-GPU high speed NVIDIA NVLink interface to offer increased throughput performance both for data loading and SQL query execution.

"Our customers are asking us for solutions that can handle massive data growth and real-time analytics to support data-driven decision making," said Charlie Cox, President of Datatrend, an IBM Platinum and Elite Power Partner. "GPU acceleration is quite possibly one of the most important advances in helping businesses make quicker and better decisions by analyzing more data faster. IBM's POWER9 architecture combined with SQream's solution yields price/performance at scales we have never seen before."

SQream DB on IBM POWER9, combined with IBM Flash Storage solutions and integrated into the technology stack, provides a reference architecture that allows organizations to perform SQL analytics for business intelligence and machine learning workloads at massive scale and speed.  

"SQream DB is designed for multi-core processors such as POWER9 with its strong and robust multi-core architecture," said Ami Gal, CEO of SQream. "As data stores increase exponentially, so does the need to process more data while reducing complexity and footprint. This joint effort with IBM provides users with a super-charged combination of IBM's powerful processor and SQream's DB data warehouse for unparalleled speed, performance and scale, while enabling significantly improved analytics."

Many large enterprises and Fortune 100 companies already use IBM Power Systems, including top retailers, insurance companies, telecoms and banks. By combining NVIDIA's market leading GPUs, together with IBM POWER9 and SQream DB, organizations can reach new levels of analytics performance while significantly reducing their environmental footprint, costs and complexity.

On October 4 [th] , SQream will present at the OpenPOWER Foundation Summit a session entitled, "Tackling the Challenges of Massive Data Analytics," which will highlight using POWER9 as the base computing platform for significantly reducing the time of complex SQL queries while greatly increasing the amount of data analyzed.

Learn More 

SQream DB

SQream Blog

Try SQream

About SQream Technologies 

SQream develops and markets SQream DB, a GPU data warehouse designed to enable unparalleled business intelligence from massive data stores. Global enterprises use SQream DB to analyze more data than ever before, while achieving improved performance, reduced footprint, significant cost savings and the ability to scale the amount of data they analyze to hundreds of terabytes and more. SQream DB is available both on premise and in the cloud.

To learn more, visit sqream.com or follow us on Twitter @sqreamtech.

Media Contact  Josh Turner Silicon Valley Communications +1-917-231-0550 +972-54-949-6526 turner@siliconvpr.com

David Leichner SQream +972-54-779-9888 david@sqream.com

SOURCE SQream Technologies

Copyright (C) 2018 PR Newswire. All rights reserved


SQream DB includes GPU-accelerated data warehouse optimized support for IBM POWER9 architecture | killexams.com real questions and Pass4sure dumps

SQream, developer of SQream DB, announced at the OpenPOWER Foundation Summit in Europe that SQream DB now includes optimized support for the IBM POWER9 multi-core architecture.

The combination of SQream DB, IBM POWER9 and NVIDIA GPUs results in advanced performance, with SQL query performance improvements of up to 150 percent compared to GPU-equipped x86 servers, with reduced cost and systems complexity.

By combining NVIDIA’s GPUs, together with IBM POWER9 and SQream DB, organizations can reach new levels of analytics performance while reducing their environmental footprint, costs and complexity.

The integration of SQream DB with IBM Power Systems is the latest in a series of collaborations between SQream and IBM, which started with SQream DB on IBM’s Bluemix service. The latest offering on IBM POWER9 takes advantage of POWER9’s CPU-to-GPU high speed NVIDIA NVLink interface to offer increased throughput performance both for data loading and SQL query execution.

SQream DB on IBM POWER9, combined with IBM Flash Storage solutions and integrated into the technology stack, provides a reference architecture that allows organizations to perform SQL analytics for business intelligence and machine learning workloads at massive scale and speed.

Last month, SQream announced general availability of SQream DB v3.0, which enables enterprises to load massive volumes of data in the range of terabytes to petabytes for analysis, while generating higher quality business intelligence faster than any other data store at these volumes.

“GPU-accelerated analytics are an increasingly important part of our industry,” said Sumit Gupta, VP of HPC and AI for IBM Cognitive Systems. “The announcement of SQream on the IBM POWER9 platform takes this concept to another level of performance, as the POWER9 CPU with embedded NVIDIA NVLink interface to NVIDIA’s GPUs allows SQream to enable even faster processing of data on POWER9 servers.”

“Our customers are asking us for solutions that can handle massive data growth and real-time analytics to support data-driven decision making,” said Charlie Cox, president of Datatrend, an IBM Platinum and Elite Power Partner. “GPU acceleration is quite possibly one of the most important advances in helping businesses make quicker and better decisions by analyzing more data faster. IBM’s POWER9 architecture combined with SQream’s solution yields price/performance at scales we have never seen before.”

“SQream DB is designed for multi-core processors such as POWER9 with its strong and robust multi-core architecture,” said Ami Gal, CEO of SQream. “As data stores increase exponentially, so does the need to process more data while reducing complexity and footprint. This joint effort with IBM provides users with a super-charged combination of IBM’s powerful processor and SQream’s DB data warehouse for unparalleled speed, performance and scale, while enabling significantly improved analytics.”


Startup Targets Tableau, IBM In $166B Business Intelligence Mart | killexams.com real questions and Pass4sure dumps

There are plenty of startups going after the business of business intelligence. What companies want is to find a needle of insight in a haystack of data -- both structured in a database form and unstructured (video clips, tweets, texts, etc.). The quicker a company can get the insight and the lower the cost of doing that, the better.

In days of yore, companies paid millions of dollars to purchase hardware and license database software, they'd spend another 30% of that cost to hire consultants and their own data scientists to pore through the data to try to get useful answers to business questions.

But with the growing value of unstructured data, the emergence of the cloud and the widespread adoption of open source software, the technology provided in those days of yore costs too much and delivers too little value in the bargain.

This creates openings for the likes of ThoughtSpot and Looker about which I have written over the last year.

Business Intelligence is a pretty big market. Indeed in August 2018, IDC said that "Worldwide revenue for big data and business analytics (BDA) solutions was $166 billion, up 11.7% over 2017 and [would] reach $260 billion in 2022, with a compound annual growth rate (CAGR) of 11.9%."

If you want to invest in this market, you could do worse than Tableau Software, which is growing fast and its stock has risen 59% to a $9.1 billion market capitalization as of September 21. For the five years ending 2017, its revenue increased at a 47% annual rate to $877 million while its free cash flow soared at an 87% annual rate to $165 million.

What's more, Tableau's second quarter results -- revenue up 32% to $282 million and a $12 million net loss -- "superseded guidance and expectations, as customers embraced Tableau's term and subscription cloud offerings at a faster pace than anticipated. Tableau boosted revenue per customer and expanded its customer base despite pricing pressure," according to Morningstar.

Another rival has entered this fray and says it is growing very rapidly. San Mateo-based Arcadia Data says it grew revenues 500% and on October 2 announced that it had raised another $15 million -- bringing total capital to $27 million. As CEO Sushil Thomas explained in a September 21 interview, "With five of the top seven financial services companies among our customers and more than 2,500 companies using Arcadia Instant, we've enjoyed in eight-fold growth over the past 24 months."

Its customers have a blue chip ring about them. Bell Canada, Citibank, Cisco, HPE, Neustar -- which became a customer in 2014 and according to datanami said Arcadia Data sped up six-fold the time to get insight, Kaiser Permanente, Komatsu, NHL, Nokia, Nordea Bank, Procter & Gamble, Turner Broadcasting, Twilio, Pizza Hut, and the USDA are all customers, according to the company.

Underlying this growth is a technology platform that uses open source software -- both Apache Hadoop and the cloud and Apache Kafka for "native visual analytics."

But what seems to be behind this growth is what I called in my book, Hungry Start-up Strategy. a Quantum Value Leap -- meaning more bang for the customer's buck than what rivals are offering. As Thomas said,

We compete for the biggest use cases with 40 petabytes of data and 1,500 business users a day. We win 90% of the proofs of concept against Tableau, Tibco Spotfire, IBM Cognos, and SAP BusinessObjects. The hardware required to run these systems can cost between $50 million and $100 million, then companies must spend $2 million to $3 million to buy an Oracle data warehouse and Tableau software and to hire a database administrator and data analysts for each project.  And after all that companies still can't get the kind of access to data we provide. It can take them five hours to produce a report we can do in 15 minutes via a Google-search-bar like user interface.

To be fair, Gartner found that Tableau (74) has a higher net promoter score than Arcadia (70). And while a positive review of Arcadia Data raved about its ability to "allow [users] to zoom in from a 10,000 feet view to a granular look into [their] data," a critical reviewer said the product was "very unstable." Arcadia Data says it "has announced two updates to Arcadia Enterprise since the critical review so the concerns highlighted in the review may no longer exist."

Arcadia Data is growing its staff -- but not as quickly as its revenues. "We started with four people in 2012, had 35 people in 2016 and 65 in 2018. 40% of our people are in sales, 40% in $&D, and 20% in marketing," he said.

Arcadia Data has a rigorous process for planning and evaluating its business. As Thomas explained, "We want to be a data driven company. For the last few years, at the beginning of every year we do an annual revenue and headcount plan. Over the next 12 months, we plan revenue and headcount in sales, marketing and engineering in our four channels: inbound, outbound, partners, and upselling to existing customers."

The plans are based on benchmarks from previous years. "We know the average deal-size and the number of deals we need to close to make our revenue forecast. From there, we can estimate the number of leads in the pipeline we need to close the number of customers we need. All the numbers go in a spreadsheet and become part of each department's objectives. We track all the data on dashboards, analyze it compared to our budget, and know if things are going according to plan," he said.

It is more difficult to give specific metrics to engineering. As Thomas said, "We are in a competitive market so engineering must build visionary, next-generation products. Our engineers talk to customers and customer success lets engineers know what changes customers need and what bugs to fix. We track our bug-fix rate, the customer churn rate, and the upsell rate. And we introduce a new version every six to eight weeks."

The incumbents in business intelligence are growing -- though not as quickly as upstarts Looker, ThoughtSpot, and Arcadia Data. And though Arcadia Data lags these two in the fund-raising game, it seems to be doing a fine job of winning in accounts with huge volumes of data and users.

In the longer term, it remains to be seen whether each of the upstarts will go public or be acquired. And for now, it looks like Tableau is doing just fine.



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IBM C2090-625 Exam (IBM Cognos 10 BI Data Warehouse Developer) Detailed Information



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