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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...
About Big Data
There may not be a consensus with respect to just how big

data warehouse appliance bi  data hype. A corporate data warehouse can rapidly become expensive as the data volume increases. Scaling a data warehouse can be a burden when you’re dealing with such volumes. Meanwhile, some big data providers can produce solutions not only that are cheaper from the get go, but which can be escalated, adapted, and modified as required. Open source solutions—such as NoSQL—have also played an important role in the big data movement, forcing market prices to stay down. The Players As with any other 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...
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...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

data warehouse appliance bi  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

data warehouse appliance bi  perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most Read More...
BI on the Go: About Functionality and Level of Satisfaction
We thought it would be useful to take another look at what was revealed in our recent survey on mobile BI regarding what’s important for mobile BI users, and of

data warehouse appliance bi  hoc querying, alerting, collaboration, data analysis and discovery, and dashboarding (Figure 1), users were clear that both dashboarding and data analysis/discovery are an essential part of their day-to-day lives with a mobile BI application. It is clear reporting in mobile media is slowly decreasing and leaving space for more data discovery functions. On the other hand, two things were surprising for me; first, the level of importance that users gave to the alerting functionality above collaboration Read More...
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

data warehouse appliance bi  Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. Read More...
Best Practices for a BI and Analytics Strategy
A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a

data warehouse appliance bi  business intelligence best practices,business process improvements,bi and analytics solution,bi and analytics competency,bi and analytics strategy,bi and analytics strategy best practices,business intelligence and analytics strategy,business intelligence and anlaytics solution,bi and analytics technology,business intelligence tools list,business process mapping template,top business intelligence tools,compare bi tools,business intelligence software comparison,business intelligence tools comparison Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

data warehouse appliance bi  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More...
Warehouse Control Systems: Orchestrating Warehouse Efficiency
You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play

data warehouse appliance bi  Control Systems: Orchestrating Warehouse Efficiency You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play the role of a conductor by ensuring the individual pieces of material-handling equipment—such as conveyors and sorters—perform with harmony, precision, and efficiency. Find out how implementing a WCS execution system can complement your WMS’s planning abilities. Read More...
Five BI Success Factors for the Midsize Organization: Tactical Guidelines for Effective BI Deployment
Midsize businesses feel the most pressure to boost revenue and increase profits@and have smaller margins for error. Achieving your goals requires making smart

data warehouse appliance bi  are backed by solid data. With a business intelligence (BI) solution, you can make timely informed decisions and improve productivity, while maximizing value and return. Find out about the five success factors for implementing a BI solution. 0 Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

data warehouse appliance bi  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data warehouse appliance bi  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...

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