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. 1. Big Data introduction - p. 1 2. 2. Infrastructure and technology - p. 17 3. 3. Building big data applications - p. 73 4. 4. Scientific research applications and usage - p. 85 5. 5. Pharmacy industry applications and usage - p. 99 6. 6. Visualization, storyboarding and applications - p. 113 7. 7. Banking industry applications and usage - p. 127 8. 8. Travel and tourism industry applications and usage - p. 145 9. 9. Governance - p. 157 10. 10. Building the big data application - p. 175 11. 11. Data discovery and connectivity - p. 199 12. Use cases from industry vendors - p. 213 13. Index - p. 219
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. 1. Big Data introduction - p. 1 2. 2. Infrastructure and technology - p. 17 3. 3. Building big data applications - p. 73 4. 4. Scientific research applications and usage - p. 85 5. 5. Pharmacy industry applications and usage - p. 99 6. 6. Visualization, storyboarding and applications - p. 113 7. 7. Banking industry applications and usage - p. 127 8. 8. Travel and tourism industry applications and usage - p. 145 9. 9. Governance - p. 157 10. 10. Building the big data application - p. 175 11. 11. Data discovery and connectivity - p. 199 12. Use cases from industry vendors - p. 213 13. Index - p. 219
