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· 제목 : The Definitive Guide to Azure Data Engineering: Modern Elt, Devops, and Analytics on the Azure Cloud Platform (Paperback)
· 분류 : 외국도서 > 컴퓨터 > 프로그래밍 > 마이크로소프트 프로그래밍
· ISBN : 9781484271810
· 쪽수 : 612쪽
· 출판일 : 2021-08-07
· 분류 : 외국도서 > 컴퓨터 > 프로그래밍 > 마이크로소프트 프로그래밍
· ISBN : 9781484271810
· 쪽수 : 612쪽
· 출판일 : 2021-08-07
목차
Introduction
Part I. Getting Started
1. The Tools and Pre-Requisites
2. Data Factory vs SSIS vs Databricks
3. Designing an Azure Data Lake Storage Gen2 Account
Part II. Azure Data Factory for ELT
4. Dynamically Load SQL Database to Data Lake Storage Gen 2
5. Load Azure Synapse Analytics DW
6. Load Data Lake Storage Gen2 Files into Azure Synapse Analytics DW
7. Create and Load Azure SQL DW Tables Dynamically
8. Logging Pipeline Audit Data
9. Logging Error Details from Pipelines
10. Dynamically Load Snowflake Datawarehouse11. Mapping Data Flow for Datawarehouse ETL
12. Mapping Data Flows for Big Data Lake Aggregation and Transformation
13. Incrementally Upserting 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 Azure Data Factory Changes
20. Deploy SQL Database
Part V. Advanced Analytics
21. Graph Analytics Using Apache Spark’s GraphFrame API
22. Azure Synapse Analytics Workspaces
23. Machine Learning in Azure Databricks
Part VI. Data Governance
24. Azure Purview
