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Building Big Data Applications

(Autor)

Buch | Softcover
242 Seiten
2019
Academic Press Inc (Verlag)
978-0-12-815746-6 (ISBN)
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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.).

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.

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

Erscheinungsdatum
Verlagsort San Diego
Sprache englisch
Maße 191 x 235 mm
Gewicht 520 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Office Programme Outlook
Technik
ISBN-10 0-12-815746-1 / 0128157461
ISBN-13 978-0-12-815746-6 / 9780128157466
Zustand Neuware
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