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"research; best practices; report; russom; Hadoop for the enterprise; DW architectures; big data; drivers; benefits; barriers; multi-platform; distributed; single-platform; Hadoop; HDFS; RDBMS; reporting; analytics; components; vendor platforms; priorities; data management; agile"; null; research; best practices; report; russom; Hadoop for the enterprise; DW architectures; big data; drivers; benefits; barriers; multi-platform; distributed; single-platform; Hadoop; HDFS; RDBMS; reporting; analytics; components; vendor platforms; priorities; data management; agile
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<p>This TDWI report accelerates users’ understanding of new products, technologies and best practices that have emerged around Hadoop. It will also help readers connect available options to use cases, with a focus on mainstream enterprise uses, while respecting proven IT practices and delivering maximum business value.</p>
A TDWI Best Practices Report
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<p>This TDWI report accelerates users’ understanding of new products, technologies and best practices that have emerged around Hadoop. It will also help readers connect available options to use cases, with a focus on mainstream enterprise uses, while respecting proven IT practices and delivering maximum business value. </p>
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Philip Russom,TDWI
© 2015 by TDWI (The Data Warehousing Institute[TM]), a division of 1105 Media, Inc. All rights reserved. Reproductions in whole or in part are prohibited except by written permission. E-mail requests or feedback to info@tdwi.org.Product and company names mentioned herein may be trademarks and/or registered trademarks of their respective companies.
null
research
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report
russom
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DW architectures
big data
drivers
benefits
barriers
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Hadoop
HDFS
RDBMS
reporting
analytics
components
vendor platforms
priorities
data management
agile
research; best practices; report; russom; Hadoop for the enterprise; DW architectures; big data; drivers; benefits; barriers; multi-platform; distributed; single-platform; Hadoop; HDFS; RDBMS; reporting; analytics; components; vendor platforms; priorities; data management; agile
Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective
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