ISBN: 9798288986185 - pyspark prism: channeling data excellence with pyspark on databricks (9 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. PySpark Prism: Channeling Data Excellence with PySpark on Databricks is your definitive guide to mastering big data processing using PySpark Apache Spark's Python API on the powerful Databricks platform. Tailored for data engineers data scientists and analysts this book offers a hands-on journey through building scalable data pipelines real-time streaming analytics machine learning models and robust governance frameworks. From crafting Delta Lake-powered lakehouses to optimizing performance and integrating AI-driven insights it covers essential topics like DataFrame operations Structured Streaming MLlib security and emerging trends with practical examples real-world case studies and expert tips. Enhanced with four bonus chapters-50 multiple choice questions to test theoretical knowledge 25 coding exercises to build practical skills 10 advanced case study challenges to tackle industry-level problems and 15 performance tuning recipes to optimize pipelines-this comprehensive resource equips beginners and experts to transform raw data into actionable intelligence with confidence efficiency and scalability ensuring production-ready expertise. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. PySpark Prism: Channeling Data Excellence with PySpark on Databricks is your definitive guide to mastering big data processing using PySpark Apache Spark's Python API on the powerful Databricks platform. Tailored for data engineers data scientists and analysts this book offers a hands-on journey through building scalable data pipelines real-time streaming analytics machine learning models and robust governance frameworks. From crafting Delta Lake-powered lakehouses to optimizing performance and integrating AI-driven insights it covers essential topics like DataFrame operations Structured Streaming MLlib security and emerging trends with practical examples real-world case studies and expert tips. Enhanced with four bonus chapters-50 multiple choice questions to test theoretical knowledge 25 coding exercises to build practical skills 10 advanced case study challenges to tackle industry-level problems and 15 performance tuning recipes to optimize pipelines-this comprehensive resource equips beginners and experts to transform raw data into actionable intelligence with confidence efficiency and scalability ensuring production-ready expertise. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…