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008 140330s2012 xx o 000 0 eng
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020 _a9781119205005
_q(electronic bk.)
020 _a111920500X
_q(electronic bk.)
020 _z9781118225820
020 _z1118225821
029 0 _aAU@
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029 1 _aCHNEW
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035 _a(OCoLC)880745590
050 4 _aHD38.7 .O36 2013
082 0 4 _a658.4
_a658.4038
_a658.472
049 _aMAIN
100 1 _aOhlhorst, Frank J.
245 1 0 _aBig Data Analytics :
_bTurning Big Data into Big Money.
260 _aHoboken :
_bWiley,
_c2012.
300 _a1 online resource (176 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
588 0 _aPrint version record.
505 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.
505 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.
505 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.
505 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.
520 _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.
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aBusiness intelligence.
650 0 _aData mining.
650 2 _aData Mining
650 6 _aExploration de donn�ees (Informatique)
650 7 _aBusiness intelligence
_2fast
650 7 _aData mining
_2fast
758 _ihas work:
_aBig data analytics (Text)
_1https://id.oclc.org/worldcat/entity/E39PCFGhRDtxkcmCP3x9jyfkKq
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version:
_aOhlhorst, Frank J.
_tBig Data Analytics : Turning Big Data into Big Money.
_dHoboken : Wiley, �2012
_z9781118147597
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119205005
994 _a92
_bINLUM
999 _c12094
_d12094