prepare a report file on big data
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1. Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations BY WAYNE ECKERSON Director of Research, Business Applications and Architecture Group, TechTarget, September 2011 BIG DATA ANALYTICS: PROFILING THE USE OF ANALYTICAL PLATFORMS IN USER ORGANIZATIONS 1
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3. EXECUTIVE SUMMARY Executive Summary EXECUTIVE SUMMARY RESEARCH BACKGROUND WHY BIG DATA? BIG DATA ANALYTICS: DERIVING VALUE FROM BIG DATA ARCHITECTURE FOR BIG DATA ANALYTICS PLATFORMS FOR RUNNING BIG DATA ANALYTICS PROFILING THE USE OF ANALYTICAL PLATFORMS RECOMMENDATIONS the rise of “big data” and the use of analytics to mine that data. Companies have been storing and analyzing large volumes of data since the advent of the data warehousing movement in the early 1990s. 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 Analytical platforms. To keep pace with the desire to store and analyze ever larger volumes of structured data, relational database vendors have delivered specialized analytical platforms that provide dramatically higher levels of price-performance compared with general-purpose relational database management systems Companies have been (RDBMSs).
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