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Business Intelligence (BI)
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Documents related to » bi data warehouse appliance


Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

bi data warehouse appliance  systems as well the BI and the data warehouse space in general. Roger Gaskell is responsible for all the product development that goes on at Kognitio. Prior to Kognitio, Mr. Gaskell worked as a test development manager at AB Electronics, primarily for the development and testing of the first mass production of IBM personal computers. 1.    Hello, Mr. Gaskell. Could you give us a brief introduction to Kognitio and the products the company offers? Certainly. Kognitio is a technology software vendor that Read More
Achieving Business Intelligence (BI) in Midsize Companies
Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding

bi data warehouse appliance  BI Solution , Delivering BI Data . At this point, you should be at least ready to consider a business intelligence (BI) solution for your midsize company—and you may even be outright convinced that it''s the right tool for your business. So how do you go about successfully adding a BI solution without disrupting your company? Without breaking the bank? Without having to add staff members with specialties you''ve never even heard of before? My goal in this chapter is to help answer exactly those Read More
About Big Data
There may not be a consensus with respect to just how big

bi data warehouse appliance  are changing the traditional BI data cycle. Data can be collected from its sources and analyzed in a matter of seconds, giving reliable results in a fraction of the time required by a traditional BI deployment, thus reducing data latency and speeding up the decision-making process. Some of the advantages of deploying a big data solution include: reducing the decision-making process by reading, analyzing, and giving results faster than traditional solutions collecting information, whether structured, Read More
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

bi data warehouse appliance  open, published protocols for interoperability and integrated end-to-end data warehousing services. It utilizes technologies provided in Microsoft Office 2000 and Microsoft SQL Server 7.0 products, and a partnership with Data Warehousing Alliance members for complementary tools and applications. The DWF enables data warehousing solutions where the data comes from virtually any source and where any type of information can be delivered to any compliant client interface or application. Market Impact Once Read More
Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

bi data warehouse appliance  columnar store schema, for BI purposes—thereby enhancing data processing performance. While analytics and BI make good use of in-memory database systems (IMDSs), IMDSs were not developed for this purpose. Database systems such as eX treme DB , VoltDB , solidDB by IBM , TimesTen by Oracle , and HANA by SAP are multipurpose in-memory databases created specifically to allow the running applications to achieve fast response times . As such, these systems have the potential to change the way organizations Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

bi data warehouse appliance  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

bi data warehouse appliance  data and the system''s ability to deliver the data on the business'' schedule. Data politics meaning, issues about who owns certain data may arise, causing unnecessary delays in obtaining the appropriate permission to access and cleanse certain data. And, of course, a good strategy should allow flexible interfaces to various data sources that can evolve over time. Move Data to a Continuously Changing Target Implementing an application is an iterative process, with business and IT staff making frequent Read More
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

bi data warehouse appliance  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

bi data warehouse appliance  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you''re going through the data center...

bi data warehouse appliance  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it''s also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you''re going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for Read More
Warehouse Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation
When searching for a warehouse management system (WMS), a number of myths surface.

bi data warehouse appliance  that is built without bias. Only then can you begin evaluating system. In other words, you have to know what your current needs are and what your future requirements will be before beginning your search, not just what bells and whistles are available. This is Part One of a two-part series. Part One will describe the popular myths encountered when looking for a warehouse management system. Part Two will describe how to assess your current warehouse processes to find the best system that meets your needs. Read More
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

bi data warehouse appliance  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

bi data warehouse appliance  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

bi data warehouse appliance  Center Projects: Advantages of Using a Reference Design It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and Read More
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

bi data warehouse appliance  Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with Read More

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