Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow (English Edition)

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Hands-on practical approach for mastering Databricks, Delta Lake, and MLflow enables readers to apply knowledge immediately
Real-world case studies from FMCG and CPG sectors provide actionable insights for industry-specific challenges
Covers real-time data processing, ML integration, and CI/CD pipelines for scalable data engineering solutions
Focuses on workflow optimization, performance tuning, and data security to ensure efficient and reliable pipelines
Step-by-step guidance on setting up environments, data transformation, and deployment strategies empowers professionals to build and maintain robust data pipelines

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Book Cover Type: Paperback
Genre: Business, Technology
Language Version: English
Target Audience: Adults
Table of Contents: 1. Introducing Data Engineering with Databricks, 2. Setting Up a Databricks Environment, 3. Extracting and Loading Data, 4. Transforming Data, 5. Handling Streaming Data, 6. Creating Delta Live Tables, 7. Data Partitioning and Shuffling, 8. Performance Tuning, 9. Workflow Management, 10. Databricks SQL Warehouse, 11. Data Storage and Unity Catalog, 12. Monitoring Databricks Clusters and Jobs, 13. Production Deployment Strategies, 14. Maintaining Data Pipelines in Production, 15. Managing Data Security and Governance, 16. Real World Data Engineering Use Cases with Databricks, 17. AI and ML Essentials, 18. Integrating Databricks with External Tools, Index

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Hands-on practical approach for mastering Databricks, Delta Lake, and MLflow enables readers to apply knowledge immediately
Real-world case studies from FMCG and CPG sectors provide actionable insights for industry-specific challenges
Covers real-time data processing, ML integration, and CI/CD pipelines for scalable data engineering solutions
Focuses on workflow optimization, performance tuning, and data security to ensure efficient and reliable pipelines
Step-by-step guidance on setting up environments, data transformation, and deployment strategies empowers professionals to build and maintain robust data pipelines

Summarized by Shop

Book Cover Type: Paperback
Genre: Business, Technology
Language Version: English
Target Audience: Adults
Table of Contents: 1. Introducing Data Engineering with Databricks, 2. Setting Up a Databricks Environment, 3. Extracting and Loading Data, 4. Transforming Data, 5. Handling Streaming Data, 6. Creating Delta Live Tables, 7. Data Partitioning and Shuffling, 8. Performance Tuning, 9. Workflow Management, 10. Databricks SQL Warehouse, 11. Data Storage and Unity Catalog, 12. Monitoring Databricks Clusters and Jobs, 13. Production Deployment Strategies, 14. Maintaining Data Pipelines in Production, 15. Managing Data Security and Governance, 16. Real World Data Engineering Use Cases with Databricks, 17. AI and ML Essentials, 18. Integrating Databricks with External Tools, Index

Summarized by Shop

Visit Barnes & Noble for full shipping details

Shipping calculated at checkout

4.8 (33.9K)

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