9798197243744 - sql for data engineering: etl, warehousing, cloud platforms & ai workflows de mondal, masud (4 resultados)
Idioma: Inglés
Editorial: Independently Published Mai 2026, 2026
Serie: Data Engineering, Libro 8 de 2. Libro 8 de 2 - Data Engineering
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 33,10
Envío por EUR 62,52Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - SQL for Data Engineering - ETL, Warehousing, Cloud Platforms & AI WorkflowsMost SQL books teach you to write queries. This one teaches you to build systems.If you know basic SQL but struggle to apply it in production environments, or you are preparing for data engineering interviews and wan…t experience beyond simple SELECT statements, this book was written for you.SQL for Data Engineering bridges the gap between tutorial SQL and the skills that data engineering roles actually demand - ETL pipelines, warehouse design, query optimization, and the architectural thinking that separates engineers who build reliable data systems from those who only query them.What you will learn: - Advanced querying - joins, CTEs, subqueries, window functions, and analytical SQL patterns- Data transformation - cleaning, standardisation, safe casting, and deduplication techniques- ETL architecture - incremental loading, staging patterns, Slowly Changing Dimensions, and idempotent pipeline design- Warehouse design - star schemas, dimensional modelling, partitioning, indexing, and materialised views- Performance optimisation - EXPLAIN ANALYZE, execution plans, query tuning, and production-grade optimisation- Semi-structured data - JSON and JSONB processing, schema drift handling, and event pipeline patterns- Cloud platforms - Snowflake, BigQuery, Redshift, and Databricks with practical SQL for each- AI workflows - prompt engineering for SQL tasks, AI-assisted debugging, and the risks of generated codeFour industry projects you will build: - E-Commerce Analytics Warehouse- SaaS Subscription Metrics Platform- Banking Transaction Fraud Monitoring System- Food Delivery ETL and Operations PipelineEach project covers a realistic business problem, complete ETL pipeline, warehouse schema, KPI queries, and interview preparation - designed to go directly into your portfolio.You also get: - Integrated interview Q&A in every chapter drawn from real hiring panels- Resume bullet points after every chapter and project- A complete career roadmap for aspiring data engineers- Appendices covering SQL functions, data types, troubleshooting, glossary, and a tool landscape guide.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 23,41
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 26,25
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. SQL for Data Engineering - ETL, Warehousing, Cloud Platforms & AI WorkflowsMost SQL books teach you to write queries. This one teaches you to build systems.If you know basic SQL but struggle to apply it in production environments, or you are preparing for data engineering interviews and want… experience beyond simple SELECT statements, this book was written for you.SQL for Data Engineering bridges the gap between tutorial SQL and the skills that data engineering roles actually demand - ETL pipelines, warehouse design, query optimization, and the architectural thinking that separates engineers who build reliable data systems from those who only query them.What you will learn: Advanced querying - joins, CTEs, subqueries, window functions, and analytical SQL patternsData transformation - cleaning, standardisation, safe casting, and deduplication techniquesETL architecture - incremental loading, staging patterns, Slowly Changing Dimensions, and idempotent pipeline designWarehouse design - star schemas, dimensional modelling, partitioning, indexing, and materialised viewsPerformance optimisation - EXPLAIN ANALYZE, execution plans, query tuning, and production-grade optimisationSemi-structured data - JSON and JSONB processing, schema drift handling, and event pipeline patternsCloud platforms - Snowflake, BigQuery, Redshift, and Databricks with practical SQL for eachAI workflows - prompt engineering for SQL tasks, AI-assisted debugging, and the risks of generated codeFour industry projects you will build: E-Commerce Analytics WarehouseSaaS Subscription Metrics PlatformBanking Transaction Fraud Monitoring SystemFood Delivery ETL and Operations PipelineEach project covers a realistic business problem, complete ETL pipeline, warehouse schema, KPI queries, and interview preparation - designed to go directly into your portfolio.You also get: Integrated interview Q&A in every chapter drawn from real hiring panelsResume bullet points after every chapter and projectA complete career roadmap for aspiring data engineersAppendices covering SQL functions, data types, troubleshooting, glossary, and a tool landscape guide This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 27,03
Envío por EUR 43,19Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. SQL for Data Engineering - ETL, Warehousing, Cloud Platforms & AI WorkflowsMost SQL books teach you to write queries. This one teaches you to build systems.If you know basic SQL but struggle to apply it in production environments, or you are preparing for data engineering interviews and want… experience beyond simple SELECT statements, this book was written for you.SQL for Data Engineering bridges the gap between tutorial SQL and the skills that data engineering roles actually demand - ETL pipelines, warehouse design, query optimization, and the architectural thinking that separates engineers who build reliable data systems from those who only query them.What you will learn: Advanced querying - joins, CTEs, subqueries, window functions, and analytical SQL patternsData transformation - cleaning, standardisation, safe casting, and deduplication techniquesETL architecture - incremental loading, staging patterns, Slowly Changing Dimensions, and idempotent pipeline designWarehouse design - star schemas, dimensional modelling, partitioning, indexing, and materialised viewsPerformance optimisation - EXPLAIN ANALYZE, execution plans, query tuning, and production-grade optimisationSemi-structured data - JSON and JSONB processing, schema drift handling, and event pipeline patternsCloud platforms - Snowflake, BigQuery, Redshift, and Databricks with practical SQL for eachAI workflows - prompt engineering for SQL tasks, AI-assisted debugging, and the risks of generated codeFour industry projects you will build: E-Commerce Analytics WarehouseSaaS Subscription Metrics PlatformBanking Transaction Fraud Monitoring SystemFood Delivery ETL and Operations PipelineEach project covers a realistic business problem, complete ETL pipeline, warehouse schema, KPI queries, and interview preparation - designed to go directly into your portfolio.You also get: Integrated interview Q&A in every chapter drawn from real hiring panelsResume bullet points after every chapter and projectA complete career roadmap for aspiring data engineersAppendices covering SQL functions, data types, troubleshooting, glossary, and a tool landscape guide This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
