EE599-Lec26-Hwang-BigData2-Nov26-2013-Updated

7 prof kai hwang usc dec 2013 6 prof kai hwang usc

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Unformatted text preview: rof. Kai Hwang, USC, Dec. 2013 6 Prof. Kai Hwang, USC, Nov. 25, 2013 8 7 Prof. Kai Hwang, USC, Dec. 2013 8 Big Data Analytics (1) Workflow in Big-Data Operations Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in higher business intelligence or scientific discovery, such as more effective marketing, increased revenue, etc. The primary goal of big data analytics is to help companies make better business decisions by enabling data scientists and other users to analyze huge volumes of transaction data that may be left untapped by conventional business intelligence (BI) programs. 9 1 0 9 Facets of Big Data Analytics (2) A New Wave of Big Data Analytics (3) Big data sources may include Web server logs and Internet clickstream data, social media activity reports, mobile-phone call records and information captured by sensors or IoT devices. 10 Unstructured data sources used for big data analytics may not fit in traditional data warehouses. Traditional data warehouses may not be able to handle the processing demands posed by big data. Some people exclusively associate big data and big data analytics with unstructured data. The new technologies associated with big data analytics include NoSQL databases, Hadoop and MapReduce. These technologies form the core of an open-source software framework that supports the processing of large data sets across clustered systems or datacenter-converted clouds. Consulting firms like Gartner and Forrester Research consider transactions and other structured data to be valid forms of big data. Big data analytics can be done with the software tools commonly used as part of advanced analytics disciplines such as predictive analytics and data mining. 1 1 11 1 2 12 Hadoop for Big Data Analytics (4) Integration of Big Data in The Cloud (5) Big Data has revolutionized the way businesses function and has enabled organizations to make informed decisions and improve business operations. It helps to organize and mana...
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