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Building Big Data Applications
Comprehensive guide on the effective use of Big Data and Data Warehousing
Krish Krishnan (Author)
9780128157466, Elsevier Science
Paperback, published 15 November 2019
242 pages
23.4 x 19 x 1.6 cm, 0.52 kg
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.).
1. Big Data Introduction 2. Infrastructure and Technology 3. Building Big Data Applications 4. Scientific Research Applications and Usage 5. Pharmacy Industry Applications and Usage 6. Visualization, Storyboarding & Applications 7. Banking Industry Applications and Usage 8. Travel and Tourism Industry Applications and Usage 9. Governance of Building Big Data Applications 10. Delivery of Applications 11. Data Discovery with Machine Learning Appendix: Use Cases from Industry Vendors
Subject Areas: Enterprise software [UFL], Information technology: general issues [UB], Technology: general issues [TB]
