04544cam a2200565Mi 4500001001300000003000600013005001700019006001900036007001500055008004100070040006900111020003600180020003300216020001800249020001500267029002200282029002300304029002100327035002100348050002100369082002900390049000900419100002300428245005900451260002900510300003500539336002600574337002600600338003600626490003400662588002600696505059700722505060101319505058801920505036202508520060602870650002703476650001703503650002703520650001703547650001403564650005303578650004303631655002203674776013403696830003503830856008403865994001203949999001703961ocn880745590OCoLC20171224114637.0m     o  d        cr cnu---unuuu140330s2012    xx      o     000 0 eng    aAU@bengepncAU@dOCLCOdDG1dOCLCFdOCLCQdOCLCOdDEBBGdOCLCQ  a9781119205005q(electronic bk.)  a111920500Xq(electronic bk.)  z9781118225820  z11182258210 aAU@b0000528914561 aDEBBGbBV0433968111 aGBVCPb856571180  a(OCoLC)880745590 4aHD38.7 .O36 201304a658.4a658.4038a658.472  aMAIN1 aOhlhorst, Frank J.10aBig Data Analytics :bTurning Big Data into Big Money.  aHoboken :bWiley,c2012.  a1 online resource (176 pages).  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier1 aWiley and SAS Business Series0 aPrint version record.0 aBig Data Analytics: Turning Big Data into Big Money; Copyright; Contents; Preface; Acknowledgments; Chapter 1: What Is Big Data?; The Arrival of Analytics; Where Is the Value?; More to Big Data Than Meets the Eye; Dealing with the Nuances of Big Data; An Open Source Brings Forth Tools; Caution: Obstacles Ahead; Chapter 2: Why Big Data Matters; Big Data Reaches Deep; Obstacles Remain; Data Continue to Evolve; Data and Data Analysis Are Getting More Complex; The Future Is Now; Chapter 3: Big Data and the Business Case; Realizing Value; The Case for Big Data; The Rise of Big Data Options.8 aBeyond HadoopWith Choice Come Decisions; Chapter 4: Building the Big Data Team; The Data Scientist; The Team Challenge; Different Teams, Different Goals; Don't Forget the Data; Challenges Remain; Teams versus Culture; Gauging Success; Chapter 5: Big Data Sources; Hunting for Data; Setting the Goal; Big Data Sources Growing; Diving Deeper into Big Data Sources; A Wealth of Public Information; Getting Started with Big Data Acquisition; Ongoing Growth, No End in Sight; Chapter 6: The Nuts and Bolts of Big Data; The Storage Dilemma; Building a Platform; Bringing Structure to Unstructured Data.8 aProcessing PowerChoosing among In-house, Outsourced, or Hybrid Approaches; Chapter 7: Security, Compliance, Auditing, and Protection; Pragmatic Steps to Securing Big Data; Classifying Data; Protecting Big Data Analytics; Big Data and Compliance; The Intellectual Property Challenge; Chapter 8: The Evolution of Big Data; Big Data: The Modern Era; Today, Tomorrow, and the Next Day; Changing Algorithms; Chapter 9: Best Practices for Big Data Analytics; Start Small with Big Data; Thinking Big; Avoiding Worst Practices; Baby Steps; The Value of Anomalies; Expediency versus Accuracy.8 aIn-Memory ProcessingChapter 10: Bringing It All Together; The Path to Big Data; The Realities of Thinking Big Data; Hands-on Big Data; The Big Data Pipeline in Depth; Big Data Visualization; Big Data Privacy; Appendix: Supporting Data; ""The MapR Distribution for Apache Hadoop""; ""High Availability: No Single Points of Failure""; About the Author; Index.  aUnique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportuni. 0aBusiness intelligence. 0aData mining. 4aBusiness intelligence. 4aData mining. 4aInternet. 7aBusiness intelligence.2fast0(OCoLC)fst00842723 7aData mining.2fast0(OCoLC)fst00887946 4aElectronic books.08iPrint version:aOhlhorst, Frank J.tBig Data Analytics : Turning Big Data into Big Money.dHoboken : Wiley, ©2012z9781118147597 0aWiley and SAS business series.40uhttp://onlinelibrary.wiley.com/book/10.1002/9781119205005zWiley Online Library  a92bDG1  c13490d13490