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Databricks in Action: A Practical Guide to Data Engineering: Build, Optimize, and Deploy Modern Data Pipelines with Apache Spark, PySpark, SQL, and Delta Lake - Couverture souple
Synopsis
Databricks in Action: A Practical Guide to Data Engineering
Modern data engineering is no longer just about moving data from one system to another. It is about building reliable, scalable, secure, and production-ready data platforms.
Databricks in Action: A Practical Guide to Data Engineering provides a practical journey through the technologies and concepts that power modern data engineering. From Apache Spark and PySpark to SQL, Delta Lake, streaming, data quality, optimization, governance, and production deployment, this book focuses on the skills needed to build real-world data pipelines.
Inside, readers will explore:
- Data engineering fundamentals and modern lakehouse architecture
- Apache Spark architecture and distributed processing
- PySpark programming and DataFrame operations
- Advanced SQL and data transformation techniques
- Data ingestion and incremental processing
- Bronze, Silver, and Gold data architectures
- Delta Lake, MERGE, time travel, optimization, and maintenance
- Batch and streaming data pipelines
- CDC and slowly changing dimensions
- Data quality, validation, and monitoring
- Spark performance optimization and troubleshooting
- Databricks CLI and REST API automation
- Security, governance, and production deployment
- End-to-end data engineering project practices
- Interview questions and practical preparation
The book also includes detailed appendices covering SQL, PySpark, Spark functions, Delta Lake commands, Databricks CLI and REST API, troubleshooting, interview questions, and a complete project checklist.
Whether you are learning data engineering, preparing for a Databricks-focused role, or looking for a practical reference while building modern data pipelines, this book is designed to help you develop the knowledge and confidence to work with Databricks in real-world environments.
Learn the concepts. Build the pipelines. Troubleshoot the failures. Optimize the system. Think like a production data engineer.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Databricks in Action: A Practical Guide to Data Engineering: Build, Optimize, and Deploy Modern Data Pipelines with Apache Spark, PySpark, SQL, and Delta Lake
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Databricks in Action
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Databricks in Action (Paperback)
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Paperback. Etat : new. Paperback. Databricks in Action: A Practical Guide to Data EngineeringModern data engineering is no longer just about moving data from one system to another. It is about building reliable, scalable, secure, and production-ready data platforms.Databricks in Action: A Practical Guide to Data Engineering provides a practical journey through the technologies and concepts that power modern data engineering. From Apache Spark and PySpark to SQL, Delta Lake, streaming, data quality, optimization, governance, and production deployment, this book focuses on the skills needed to build real-world data pipelines.Inside, readers will explore: Data engineering fundamentals and modern lakehouse architectureApache Spark architecture and distributed processingPySpark programming and DataFrame operationsAdvanced SQL and data transformation techniquesData ingestion and incremental processingBronze, Silver, and Gold data architecturesDelta Lake, MERGE, time travel, optimization, and maintenanceBatch and streaming data pipelinesCDC and slowly changing dimensionsData quality, validation, and monitoringSpark performance optimization and troubleshootingDatabricks CLI and REST API automationSecurity, governance, and production deploymentEnd-to-end data engineering project practicesInterview questions and practical preparationThe book also includes detailed appendices covering SQL, PySpark, Spark functions, Delta Lake commands, Databricks CLI and REST API, troubleshooting, interview questions, and a complete project checklist.Whether you are learning data engineering, preparing for a Databricks-focused role, or looking for a practical reference while building modern data pipelines, this book is designed to help you develop the knowledge and confidence to work with Databricks in real-world environments.Learn the concepts. Build the pipelines. Troubleshoot the failures. Optimize the system. Think like a production data engineer. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798191905716
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Databricks in Action (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
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Paperback. Etat : new. Paperback. Databricks in Action: A Practical Guide to Data EngineeringModern data engineering is no longer just about moving data from one system to another. It is about building reliable, scalable, secure, and production-ready data platforms.Databricks in Action: A Practical Guide to Data Engineering provides a practical journey through the technologies and concepts that power modern data engineering. From Apache Spark and PySpark to SQL, Delta Lake, streaming, data quality, optimization, governance, and production deployment, this book focuses on the skills needed to build real-world data pipelines.Inside, readers will explore: Data engineering fundamentals and modern lakehouse architectureApache Spark architecture and distributed processingPySpark programming and DataFrame operationsAdvanced SQL and data transformation techniquesData ingestion and incremental processingBronze, Silver, and Gold data architecturesDelta Lake, MERGE, time travel, optimization, and maintenanceBatch and streaming data pipelinesCDC and slowly changing dimensionsData quality, validation, and monitoringSpark performance optimization and troubleshootingDatabricks CLI and REST API automationSecurity, governance, and production deploymentEnd-to-end data engineering project practicesInterview questions and practical preparationThe book also includes detailed appendices covering SQL, PySpark, Spark functions, Delta Lake commands, Databricks CLI and REST API, troubleshooting, interview questions, and a complete project checklist.Whether you are learning data engineering, preparing for a Databricks-focused role, or looking for a practical reference while building modern data pipelines, this book is designed to help you develop the knowledge and confidence to work with Databricks in real-world environments.Learn the concepts. Build the pipelines. Troubleshoot the failures. Optimize the system. Think like a production data engineer. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798191905716
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Databricks in Action : A Practical Guide to Data Engineering: Build, Optimize, and Deploy Modern Data Pipelines with Apache Spark, PySpark, SQL, and Delta Lake
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware - Databricks in Action: A Practical Guide to Data EngineeringModern data engineering is no longer just about moving data from one system to another. It is about building reliable, scalable, secure, and production-ready data platforms.Databricks in Action: A Practical Guide to Data Engineering provides a practical journey through the technologies and concepts that power modern data engineering. From Apache Spark and PySpark to SQL, Delta Lake, streaming, data quality, optimization, governance, and production deployment, this book focuses on the skills needed to build real-world data pipelines.Inside, readers will explore: - Data engineering fundamentals and modern lakehouse architecture- Apache Spark architecture and distributed processing- PySpark programming and DataFrame operations- Advanced SQL and data transformation techniques- Data ingestion and incremental processing- Bronze, Silver, and Gold data architectures- Delta Lake, MERGE, time travel, optimization, and maintenance- Batch and streaming data pipelines- CDC and slowly changing dimensions- Data quality, validation, and monitoring- Spark performance optimization and troubleshooting- Databricks CLI and REST API automation- Security, governance, and production deployment- End-to-end data engineering project practices- Interview questions and practical preparationThe book also includes detailed appendices covering SQL, PySpark, Spark functions, Delta Lake commands, Databricks CLI and REST API, troubleshooting, interview questions, and a complete project checklist.Whether you are learning data engineering, preparing for a Databricks-focused role, or looking for a practical reference while building modern data pipelines, this book is designed to help you develop the knowledge and confidence to work with Databricks in real-world environments.Learn the concepts. Build the pipelines. Troubleshoot the failures. Optimize the system. Think like a production data engineer. N° de réf. du vendeur 9798191905716
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EUR 75,36
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Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
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