Data Engineering with AWS : A practical guide to building scalable and secure enterprise data platforms
Description: Data engineering and AWS form the backbone of modern enterprise data architecture, enabling organizations to harness the exponential growth of data for competitive advantage. As businesses generate petabytes of information daily, the ability to build scalable, secure, and cost-effective...
שמור ב:
| מחבר ראשי: | |
|---|---|
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| גישה מקוונת: | Accès Université d'Orléans et IFPM |
| הערה: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365890969.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data Engineering with AWS, A practical guide to building scalable and secure enterprise data platforms, Sanjiv Kumar Jha, New Delhi, BPB Publications, 2025, 1 vol. (659 p.), 978-93-6589-096-9 |
תוכן הענינים:
- 1. Modern Data Engineering Landscape
- 2. Building Data Lake Foundations
- 3. Data Formats and Storage Optimization
- 4. Real-time Data Ingestion and Streaming
- 5. Batch Data Processing
- 6. Data Transformation and Quality
- 7. Data Warehouse Engineering with Redshift
- 8. Modern Data Architecture Patterns
- 9. Data Governance and Security
- 10. Cross-boundary Data Sharing and Collaborations
- 11. Analytics and Visualization
- 12. Machine Learning Integration
- 13. DataOps and Automation
- 14. GenAI Revolution in Data Engineering
- 15. Future-Proofing Data Platforms
- Appendix: Performance Tuning Guide