Building Big Data Applications

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.).

Explores various ways to leverage Big Data by effectively integrating it into the data warehouseIncludes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

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