Microsoft big data solutions
Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, a...
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| Format: | Book |
| Language: | English |
| Published: |
Indianapolis, IN
Wiley
2014
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| 245 | 0 | 0 | |a Microsoft big data solutions |c Adam Jorgensen ... [et al.] |
| 260 | |a Indianapolis, IN |b Wiley |c 2014 | ||
| 300 | |a xix, 388 p. |b ill. |c 24 cm. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction -- Part I What Is Big Data? -- Chapter 1 Industry Needs and Solutions -- Chapter 2 Microsoft's Approach to Big Data -- Part II Setting Up for Big Data with Microsoft -- Chapter 3 Configuring Your First Big Data Environment -- Part III Storing and Managing Big Data -- Chapter 4 HDFS, Hive, HBase, and HCatalog -- Chapter 5 Storing and Managing Data in HDFS -- Chapter 6 Adding Structure with Hive -- Chapter 7 Expanding Your Capability with HBase and HCatalog -- Part IV Working with Your Big Data -- Chapter 8 Effective Big Data ETL with SSIS, Pig, and Sqoop -- Chapter 9 Data Research and Advanced Data Cleansing with Pig and Hive -- Part V Big Data and SQL Server Together -- Chapter 10 Data Warehouses and Hadoop Integration -- Chapter 11 Visualizing Big Data with Microsoft BI -- Chapter 12 Big Data Analytics -- Chapter 13 Big Data and the Cloud -- Chapter 14 Big Data in the Real World -- Part VI Moving Your Big Data Forward -- Chapter 15 Building and Executing Your Big Data Plan -- Chapter 16 Operational Big Data Management -- Index. | |
| 520 | |a Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. | ||
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| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Data warehousing. | |
| 650 | 0 | |a Data mining. | |
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