Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predict
Construct a robust end-to-end solution for analyzing andvisualizing streaming data Real-time analytics is the hottest topic in data analyticstoday. In Real-Time Analytics: Techniques to Analyze andVisualize Streaming Data, expert Byron Ellis teaches dataanalysts technologies to build an effective real-time analyticsplatform. This platform can then be used to make sense of theconstantly changing data that is beginning to outpace traditionalbatch-based analysis platforms.The author is among a very
Paperback. Pub Date :2014-01-01 Pages: 408 Language: Chinese Publisher: China Machine Press Big Data Technology Series: Hadoop application development techniques explain. a total of 12 chapters. 1 to 2 chapter describes in detail the Hadoop ecosystem. key technologies. and installation and configuration; Chapter 3 is MapReduce Getting Started. allowing readers to understand the whole development process; 4 to 5 chapters explain in detail the HDFS distributed file system and Hadoop file IO; Chapt
Helping tech-savvy marketers and data analysts solve real-world business problems with ExcelUsing data-driven business analytics to understand customers and improve results is a great idea in theory, but in today’s busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool,
Posted by gildenshelton565 March - 16 - 20121 COMMENT
O’Reilly’s belief that facility in managing and analyzing large amounts of data distinguishes market leading companies, led to a recent report designed to help users understand the different large-scale data management techniques (see r2.oreilly.com (Issue 2.0.11, February, 2009) ). Ben Lorica recently sat down with his co-author, Roger Magoulas (Director of Research at O’Reilly), who agreed talk about the report and Big Data in general. Roger highlights what they found to be the key technology dimensions for evaluating data management solutions. The video ends with a glimpse into future technologies and general advice to organizations interested in improving their proficiency in handling data.
