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Building Big Data Applications

by Krishnan Krish
Save 35% Save 35%
Current price ₹3,557.00
Original price ₹5,471.00
Original price ₹5,471.00
Original price ₹5,471.00
(-35%)
₹3,557.00
Current price ₹3,557.00

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Book cover type: Paperback
  • ISBN13: 9780128157466
  • Binding: Paperback
  • Subject: Computer Science and Information Technology
  • Publisher: Elsevier
  • Publisher Imprint: Acad Pr
  • Publication Date:
  • Pages: 300
  • Original Price: USD 59.95
  • Language: English
  • Edition: N/A
  • Item Weight: 566 grams
  • BISAC Subject(s): General

About the Book Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.).

Krishnan, Krish: - Krish Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions and unstructured Data. A sought after visionary data warehouse thought leader and practitioner, he is ranked as one of the top strategy and architecture consultants in the world in this subject. Krish is also an independent analyst, and a speaker at various conferences around the world on Big Data and teaches at TDWI on this subject. Krish along with other experts is helping drive the industry maturity on the next generation of data warehousing, focusing on Big Data, Semantic Technologies, Crowdsourcing, Analytics, and Platform Engineering.

Krish is the founder president of Sixth Sense Advisors Inc., a Chicago based company providing Independent Analyst services in Big Data, Analytics, Data Warehouse and Business Intelligence.

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