Data Engineering with Azure Databricks
portes grátis
Data Engineering with Azure Databricks
Design, build, and optimize scalable data pipelines and analytics solutions with Azure Databricks
Chernyshova, Tonya; Ireton, Xenia; Anoshin, Dmitry; Foshin, Dmitry
Packt Publishing Limited
05/2026
Mole
Inglês
9781806106370
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
The role of Azure Databricks in modern data engineering
Setting up an end-to-end Azure Databricks environment
Data ingestion strategies for Azure Databricks
Deep dive into Apache Spark on Azure Databricks
Streaming architectures with structured streaming
Working with Delta Lake: ACID transactions & schema evolution
Automating data pipelines with Delta Live Tables (DLT)
Orchestrating data workflows: from notebooks to production
CI/CD and DevOps for Azure Databricks
Optimizing query performance and cost management
Security, compliance, and data governance
Machine learning, AutoML, and generative AI in Databricks
The role of Azure Databricks in modern data engineering
Setting up an end-to-end Azure Databricks environment
Data ingestion strategies for Azure Databricks
Deep dive into Apache Spark on Azure Databricks
Streaming architectures with structured streaming
Working with Delta Lake: ACID transactions & schema evolution
Automating data pipelines with Delta Live Tables (DLT)
Orchestrating data workflows: from notebooks to production
CI/CD and DevOps for Azure Databricks
Optimizing query performance and cost management
Security, compliance, and data governance
Machine learning, AutoML, and generative AI in Databricks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
The role of Azure Databricks in modern data engineering
Setting up an end-to-end Azure Databricks environment
Data ingestion strategies for Azure Databricks
Deep dive into Apache Spark on Azure Databricks
Streaming architectures with structured streaming
Working with Delta Lake: ACID transactions & schema evolution
Automating data pipelines with Delta Live Tables (DLT)
Orchestrating data workflows: from notebooks to production
CI/CD and DevOps for Azure Databricks
Optimizing query performance and cost management
Security, compliance, and data governance
Machine learning, AutoML, and generative AI in Databricks
The role of Azure Databricks in modern data engineering
Setting up an end-to-end Azure Databricks environment
Data ingestion strategies for Azure Databricks
Deep dive into Apache Spark on Azure Databricks
Streaming architectures with structured streaming
Working with Delta Lake: ACID transactions & schema evolution
Automating data pipelines with Delta Live Tables (DLT)
Orchestrating data workflows: from notebooks to production
CI/CD and DevOps for Azure Databricks
Optimizing query performance and cost management
Security, compliance, and data governance
Machine learning, AutoML, and generative AI in Databricks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
