Big Data For Dummies/ by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman
Material type:
TextSeries: For dummiesPublication details: Hoboken, N.J.: Wiley, 2013Description: xxii, 312p.: ill.; 24cmISBN: 9781118504222Subject(s): Big data -- Social aspects | Internet -- Social aspects | Electronic information resources -- Social aspects | Technological innovations -- Social aspects | Social changeDDC classification: 005.75 HUR 2013 | Item type | Current library | Call number | Status | Date due | Barcode |
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Pusat Sumber Pendidikan IABI | 005.75 HUR 2013 (Browse shelf (Opens below)) | Available | 0000009495 | |
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Pusat Sumber Pendidikan IABI | 005.75 HUR 2013 (Browse shelf (Opens below)) | Available | 0000009496 | |
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Pusat Sumber Pendidikan IABI | 005.75 HUR 2013 (Browse shelf (Opens below)) | Available | 0000009497 |
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| 005.741 BHA 2014 Fundamentals of database indexing and searching / | 005.75 HUR 2013 Big Data For Dummies/ | 005.75 HUR 2013 Big Data For Dummies/ | 005.75 HUR 2013 Big Data For Dummies/ | 005.756 KEY 2015 The CIO's Guide to Oracle Products and Solutions/ | 005.756 KEY 2015 The CIO's Guide to Oracle Products and Solutions/ | 005.756 KEY 2015 The CIO's Guide to Oracle Products and Solutions/ |
Includes index.
Grasping the fundamentals of big data -- Examining big data types -- Old meets new: distributed computing -- Digging into the big data technology components -- Virtualization and how it supports distributed computing -- Examining the cloud and big data -- Operational databases -- MapReduce fundamentals -- Exploring the world of Hadoop -- The Hadoop foundation and ecosystem -- Appliances and big data warehouses -- Defining big data analytics -- Understanding text analytics and big data -- Customized approaches for analysis of big data -- Integrating data sources -- Dealing with real-time data streams and complex event processing -- Operationalizing big data -- Applying big data within your organization -- Security and governance for big data environments -- The importance of big data to business -- Analyzing data in motion: a real-world view -- Improving business processes with big data analytics: a real-world view -- Ten big data best practices -- Ten great big data resources -- Ten big data do's and don'ts.
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