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Documents related to » huge data warehouse bi


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

huge data warehouse bi  when almost everything generates huge swathes of data that are hard to understand. If a picture is worth a thousand words, an infographic is worth an awful lot of data points. Visualisation is a relatively new discipline. The time series, the most common form of chart, did not start to appear in scientific writings until the late 18th century, notes Edward Tufte in his classic The Visual Display of Quantitative Information , the bible of the business. Today''s infographics experts are pioneering a new 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

huge data warehouse bi  implement BI. Frankly, even huge enterprises would use prepackaged BI solutions if they had the option—they''d save a fortune and a lot of time. This is an advantage that midsize companies can capitalize on: The ability to use a prepackaged BI solution brings you big-company power without the big-company price or time commitment. We''ve covered a lot of ground in a short space. In the first chapter, I explained what business intelligence really is, and why you might want it in your company. In the Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

huge data warehouse bi  science that can provide huge returns to an organization. It can assist companies in analyzing the impact of changes to database tables, tracking owners of individual data elements ( data stewards ), and much more. It is also required to build the warehouse, since the ETL tool needs to know the metadata attributes of the sources and targets in order to map the data properly. The BI tools need the metadata for similar reasons. Summary: Data Warehousing is a complex field, with many vendors vying for Read More...
About Big Data
There may not be a consensus with respect to just how big

huge data warehouse bi  disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement between repositories can have a big impact on the organization. Big data management is more than just working with an enormous data set; it has to do with the complexity of analyzing it and getting the most value from it— competitive advantage, performance Read More...
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

huge data warehouse bi  the ability to use huge amounts of scalable processing power. WX 2 is truly massively parallel. This means that every core on every processor in every server works simultaneously on every query. So, if you increase the number of servers, WX 2 will automatically reconfigure itself in order to utilize and maximize the usage of every new core. It is through this intelligent use of RAM and CPU power that WX 2 offers unprecedented speeds to access and query complex data sets. So, as the data explosion 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

huge data warehouse 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...
Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs
To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse

huge data warehouse bi  behind the claims of huge staff reductions , quick and easy implementation , and the fast and big return on investment, you need to know what type of features and functionality you should look for in a warehouse management system. The bells and whistles of a system might look enticing, but what you ultimately need to do is determine your own needs. Using the Pareto Principle, where a minority of inputs yields the majority results, evaluating processes and personnel, and testing can help you assess Read More...
BI: On Demand, On Premise, Open Source, or Outsourced?
On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to

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BI Maturity and Software Selection Perspectives
While new technology trends are invading the business intelligence (BI) space, technology shifts and hype do not necessarily equate to the ability to exploit

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Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

huge data warehouse bi  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you''ll learn how to save money by using less electricitywhether your data cente...

huge data warehouse bi  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you''ll learn how to save money by using less electricity—whether your data centers are still in the design Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

huge data warehouse bi  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

huge data warehouse bi  Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

huge data warehouse bi  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More...

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