Building Big Data Applications
Published on 15. November 2019
Book
Paperback/Softback
242 pages
978-0-12-815746-6 (ISBN)
Description
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.).
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Data analysts, data managers, researchers, and engineers who need to deal with large and complex sets of data; masters level students in data analytics programs
Product notice
Paperback (trade)
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 13 mm
Weight
424 gr
ISBN-13
978-0-12-815746-6 (9780128157466)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Krish Krishnan
Building Big Data Applications
E-Book
11/2019
Academic Press
€52.95
Available for download
Person
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.
Content
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
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