The Definitive Guide to Azure Data Engineering, 1st ed. Modern ELT, DevOps, and Analytics on the Azure Cloud Platform
Auteur : L'Esteve Ron C.
- Build dynamic, parameterized ELT data ingestion orchestration pipelines in Azure Data Factory
- Create data ingestion pipelines that integrate control tables for self-service ELT
- Implement a reusable logging framework that can be applied to multiple pipelines
- Integrate Azure Data Factory pipelines with a variety of Azure data sources and tools
- Transform data with Mapping Data Flows in Azure Data Factory
- Apply Azure DevOps continuous integration and deployment practices to your Azure Data Factory pipelines and development SQL databases
- Design and implement real-time streaming and advanced analytics solutions using Databricks, Stream Analytics, and Synapse Analytics
- Get started with a variety of Azure data services through hands-on examples
Date de parution : 08-2021
Ouvrage de 612 p.
17.8x25.4 cm
Thème de The Definitive Guide to Azure Data Engineering :
Mots-clés :
Azure Data Engineering; Azure Data Architecture; Cloud Data Engineering; Azure Data Factory; ETL and ELT; Azure Data Platform; Azure Databricks; Azure Data Ingestion; Azure Data Pipelines; Snowflake; Azure Synapse; Data Lake Storage Gen2; Data Ingestion Pipelines; Mapping Data Flows; Continuous Integration; SQL Server Integration Services (SSIS); Azure SQL Data Warehouse; Real-time Analytics; Azure DevOps