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Documents related to » data warehouse appliance bi


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

data warehouse appliance bi  is a provider of data warehouse and business intelligence (BI) systems that incorporate in-memory , massively parallel processing (MPP), as well as an interesting virtual online analytical processing (OLAP) cube solution. We had the pleasure of interviewing Roger Gaskell, chief technical officer (CTO) of Kognitio, and got some of interesting insights on Kognitio’s 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 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

data warehouse appliance bi  Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical applications Read More
Are Data Warehouses as Dead as the Dodo? (Part 2: 1010data and Illuminate)
Although information analysis continues to be vital for insights into a company’s health and future, the traditional data warehouse structure may already be

data warehouse appliance bi  and future, the traditional data warehouse structure may already be past its best-before date, due to major and radical transformations in the market. It may just be a matter of “Evolve or Die”. . . Indeed, in my last blog post Are Data Warehouses as Dead as the Dodo? (LiveDashBoard and QlikView) , I talked about how some software providers are dramatically changing the traditional way we design and deploy a data warehouse solution. I specifically reviewed two interesting solutions available in the Read More
Massive Data Requires Massive Measures
One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money

data warehouse appliance bi  increased presence in the data warehouse and information management space is — likewise — by no means cheap. In the corporate world, the information explosion has made it difficult for big organizations to collect, clean, store, and analyze such volumes of information. This has to do not only with quantity, but also with the number of sources, quality requirements, and the speed at which data is generated. The amount of information that companies generate is still growing at a constant pace, and the 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

data warehouse appliance bi  In-memory Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Read More
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

data warehouse appliance bi  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. 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

data warehouse appliance bi  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
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

data warehouse appliance bi  Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More
Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies
Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity

data warehouse appliance bi  Data Management: Big Data Proves Catalyst to Updating Data Management Strategies Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain. 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

data warehouse appliance bi  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 use Read More
Oracle Warehouse Builder: Better Late than Never?
Close to a year behind schedule, Oracle released Warehouse Builder to the market. Oracle, in an interesting contradiction in terms, has stated that the product

data warehouse appliance bi  an extensible and easy-to-use data warehouse design and deployment framework. As part of Oracle''s Intelligent WebHouse Initiative, Oracle Warehouse Builder automates much of the work that goes into creating a powerful, single data store for e-business analysis, specifically with its ability to integrate historical data with the massive, daily influxes of online data from web sites. The product, already in production at nearly 20 beta sites worldwide, is available for purchase tomorrow. The Oracle Read More
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

data warehouse appliance bi  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More
Teradata Extreme Data Appliance
Teradata Extreme Data Appliance analyzes massive amounts of big data and leverages Teradata technology at the lower cost per unit of data that matches your

data warehouse appliance bi  Extreme Data Appliance Teradata Extreme Data Appliance analyzes massive amounts of big data and leverages Teradata technology at the lower cost per unit of data that matches your volume-based value needs. This purpose-built data appliance allows you to gain deep strategic insights from extremely large amounts of detailed big data and supports very high-volume, non-enterprise data/analysis requirements for a small number of power users in specific workgroups or projects that are outside of your 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

data warehouse appliance bi  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

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