The definitive guide to Azure data engineering : modern ELT, DevOps, and analytics on the Azure Cloud Platform
Record details
- ISBN: 1484271815
- ISBN: 9781484271810
- ISBN: 1484271823
- ISBN: 9781484271827
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Physical Description:
1 online resource : illustrations
remote - Publisher: [Berkeley] : Apress, [2021]
- Copyright: ©2021
Content descriptions
Formatted Contents Note: | Introduction -- Part I. Getting Started -- 1. The Tools and Pre-Requisites -- 2. Data Factory vs SSIS vs Databricks -- 3. Design a Data Lake Storage Gen2 Account -- Part II. Azure Data Factory for ELT -- 4. Dynamically Load SQL Database to Data Lake Storage Gen 2 -- 5. Use COPY INTO to Load Synapse Analytics Dedicated SQL Pool -- 6. Load Data Lake Storage Gen2 Files into Synapse Analytics Dedicated SQL Pool -- 7. Create and Load Synapse Analytics Dedicated SQL Pool Tables Dynamically -- 8. Build Custom Logs in SQL Database for Pipeline Activity Metrics -- 9. Capture Pipeline Error Logs in SQL Database.-10. Dynamically Load Snowflake Data Warehouse.-11. Mapping Data Flows for Data Warehouse ETL -- 12. Aggregate and Transform Big Data Using Mapping Data Flows -- 13. Incrementally Upsert Data.-14. Loading Excel Sheets into Azure SQL Database Tables.-15. Delta Lake -- Part III. Real-Time Analytics in Azure -- 16. Stream Analytics Anomaly Detection -- 17. Real-time IoT Analytics Using Apache Spark -- 18. Azure Synapse Link for Cosmos DB -- Part IV. DevOps for Continuous Integration and Deployment -- 19. Deploy Data Factory Changes -- 20. Deploy SQL Database -- Part V. Advanced Analytics -- 21. Graph Analytics Using Apache Spark's GraphFrame API -- 22. Synapse Analytics Workspaces -- 23. Machine Learning in Databricks -- Part VI. Data Governance -- 24. Purview for Data Governance. |
Source of Description Note: | Online resource; title from PDF title page (SpringerLink, viewed August 24, 2021). |
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Genre: | Electronic books. Electronic books. |