Azure Data Factory

Official Documentation

Getting Started

  1. 10/7/2015, Video, 0:59:31
    The data landscape is more varied than ever with unstructured and structured data originating from many cloud and on-premises sources. Data Factory enables you to process...
  2. 2/25/2016, Mva
    Exploring data orchestration concepts? Check out this course on the basic capabilities of Azure Data Factory (ADF). Get an overview of advanced analytics, and see how Azure...
  3. 10/7/2015, Video, 0:31:34
    This video takes a deeper dive into the features and functions of the Azure Data Factory orchestration engineLearn more: http://aka.ms/g7hlpt
  4. 10/7/2015, Video, 1:11:26
    This video takes a deeper dive into how Azure Data Factory can be used to build hybrid big data analytics pipelines through the lens of an automated risk processing use case...



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Azure Documentation

1. Data Factory Documentation
2. Switch to version 1 documentation
3. Overview
     3.1. Introduction to Data Factory
     3.2. Compare current version to version 1
4. Quickstarts
     4.1. Create data factory - User interface (UI)
     4.2. Create data factory - Copy Data tool
     4.3. Create data factory - Azure PowerShell
     4.4. Create data factory - .NET
     4.5. Create data factory - Python
     4.6. Create data factory - REST
     4.7. Create data factory - Resource Manager template
5. Tutorials
     5.1. 1 - Provision Azure-SSIS integration runtime
          5.1.1. User interface (UI)
          5.1.2. Azure PowerShell
     5.2. 2 - Copy data in cloud
          5.2.1. Copy Data tool
          5.2.2. User interface (UI)
          5.2.3. .NET
     5.3. 3 - Copy on-premises data to cloud
          5.3.1. Copy Data tool
          5.3.2. User interface (UI)
          5.3.3. Azure PowerShell
     5.4. 4 - Copy data in bulk
          5.4.1. User interface (UI)
          5.4.2. Azure PowerShell
     5.5. 5 - Copy data incrementally
          5.5.1. 5.1 - Copy from one table
               5.5.1.1. User interface (UI)
               5.5.1.2. Azure PowerShell
          5.5.2. 5.2 - Copy from multiple tables
               5.5.2.1. User interface (UI)
               5.5.2.2. Azure PowerShell
          5.5.3. 5.3 - Use change tracking feature
               5.5.3.1. User interface (UI)
               5.5.3.2. Azure PowerShell
     5.6. 6 - Transform data in cloud
          5.6.1. HDInsight Spark
               5.6.1.1. User interface (UI)
               5.6.1.2. Azure PowerShell
          5.6.2. Databricks Notebook
               5.6.2.1. User interface (UI)
     5.7. 7 - Transform data in virtual network
          5.7.1. User interface (UI)
          5.7.2. Azure PowerShell
     5.8. 8 - Control flow
          5.8.1. User interface (UI)
          5.8.2. .NET
6. Samples
     6.1. Code samples
     6.2. Azure PowerShell
7. Concepts
     7.1. Pipelines and activities
     7.2. Datasets and linked services
     7.3. Pipeline execution and triggers
     7.4. Integration runtime
8. How-to guides
     8.1. Author
          8.1.1. Visually author data factories
          8.1.2. Continuous integration and deployment
          8.1.3. Iterative development and debugging
     8.2. Connectors
          8.2.1. Amazon Marketplace Web Service
          8.2.2. Amazon Redshift
          8.2.3. Amazon S3
          8.2.4. Azure Blob Storage
          8.2.5. Azure Cosmos DB
          8.2.6. Azure Data Lake Storage Gen1
          8.2.7. Azure Data Lake Storage Gen2
          8.2.8. Azure Database for MySQL
          8.2.9. Azure Database for PostgreSQL
          8.2.10. Azure File Storage
          8.2.11. Azure Search
          8.2.12. Azure SQL Database
          8.2.13. Azure SQL Data Warehouse
          8.2.14. Azure Table Storage
          8.2.15. Cassandra
          8.2.16. Common Data Service for Apps
          8.2.17. Concur
          8.2.18. Couchbase
          8.2.19. DB2
          8.2.20. Drill
          8.2.21. Dynamics 365
          8.2.22. Dynamics CRM
          8.2.23. File System
          8.2.24. FTP
          8.2.25. GE Historian
          8.2.26. Google BigQuery
          8.2.27. Greenplum
          8.2.28. HBase
          8.2.29. HDFS
          8.2.30. Hive
          8.2.31. HTTP
          8.2.32. HubSpot
          8.2.33. Impala
          8.2.34. Informix
          8.2.35. Jira
          8.2.36. Magento
          8.2.37. MariaDB
          8.2.38. Marketo
          8.2.39. Microsoft Access
          8.2.40. MongoDB
          8.2.41. MySQL
          8.2.42. Netezza
          8.2.43. OData
          8.2.44. ODBC
          8.2.45. Oracle
          8.2.46. Oracle Eloqua
          8.2.47. Oracle Responsys
          8.2.48. Paypal
          8.2.49. Phoenix
          8.2.50. PostgreSQL
          8.2.51. Presto
          8.2.52. QuickBooks
          8.2.53. Salesforce
          8.2.54. Salesforce Service Cloud
          8.2.55. Salesforce Marketing Cloud
          8.2.56. SAP Business Warehouse
          8.2.57. SAP Cloud for Customer
          8.2.58. SAP ECC
          8.2.59. SAP HANA
          8.2.60. ServiceNow
          8.2.61. SFTP
          8.2.62. Shopify
          8.2.63. Spark
          8.2.64. SQL Server
          8.2.65. Square
          8.2.66. Sybase
          8.2.67. Teradata
          8.2.68. Vertica
          8.2.69. Web Table
          8.2.70. Xero
          8.2.71. Zoho
     8.3. Copy data
          8.3.1. Copy data using Copy Activity
          8.3.2. Copy Data tool
          8.3.3. Load Data Lake Storage Gen2
               8.3.3.1. Copy from Data Lake Storage Gen1
          8.3.4. Load SQL Data Warehouse
          8.3.5. Load Data Lake Storage Gen1
          8.3.6. Read or write partitioned data
          8.3.7. Format and compression support
          8.3.8. Schema and type mapping
          8.3.9. Fault tolerance
          8.3.10. Performance and tuning
     8.4. Transform data
          8.4.1. HdInsight Hive Activity
          8.4.2. HdInsight Pig Activity
          8.4.3. HdInsight MapReduce Activity
          8.4.4. HdInsight Streaming Activity
          8.4.5. HdInsight Spark Activity
          8.4.6. ML Batch Execution Activity
          8.4.7. ML Update Resource Activity
          8.4.8. Stored Procedure Activity
          8.4.9. Data Lake U-SQL Activity
          8.4.10. Databricks Notebook Activity
          8.4.11. Databricks Jar Activity
          8.4.12. Databricks Python Activity
          8.4.13. Custom activity
          8.4.14. Compute linked services
     8.5. Control flow
          8.5.1. Execute Pipeline Activity
          8.5.2. Filter Activity
          8.5.3. For Each Activity
          8.5.4. Get Metadata Activity
          8.5.5. If Condition Activity
          8.5.6. Lookup Activity
          8.5.7. Until Activity
          8.5.8. Wait Activity
          8.5.9. Web Activity
          8.5.10. Expression Language
          8.5.11. System variables
     8.6. Security
          8.6.1. Data movement security considerations
          8.6.2. Store credentials in Azure Key Vault
          8.6.3. Encrypt credentials for self-hosted integration runtime
          8.6.4. Data factory service identity
     8.7. Monitor and manage
          8.7.1. Monitor visually
          8.7.2. Monitor with Azure Monitor
          8.7.3. Monitor with OMS
          8.7.4. Monitor with SDKs
          8.7.5. Monitor integration runtime
          8.7.6. Monitor Azure-SSIS integration runtime
          8.7.7. Reconfigure Azure-SSIS integration runtime
     8.8. Create integration runtime
          8.8.1. Azure integration runtime
          8.8.2. Self hosted integration runtime
          8.8.3. Azure-SSIS integration runtime
     8.9. Run SSIS packages in Azure
          8.9.1. Join Azure-SSIS IR to a virtual network
          8.9.2. Enable Azure AD authentication for Azure-SSIS IR
          8.9.3. Configure high performance for Azure-SSIS IR
          8.9.4. Provision Enterprise Edition for Azure-SSIS IR
          8.9.5. Customize setup for Azure-SSIS IR
          8.9.6. Install licensed components for Azure-SSIS IR
          8.9.7. Run SSIS packages with Execute SSIS Package activity
          8.9.8. Run SSIS packages with Stored Procedure activity
          8.9.9. Schedule Azure-SSIS integration runtime
     8.10. Create triggers
          8.10.1. Create a schedule trigger
          8.10.2. Create a tumbling window trigger
          8.10.3. Create an event-based trigger
9. Reference
     9.1. .NET
     9.2. PowerShell
     9.3. REST API
     9.4. Python
10. Resources
     10.1. Ask a question - MSDN forum
     10.2. Ask a question - Stack Overflow
     10.3. Request a feature
     10.4. FAQ
     10.5. Roadmap
     10.6. Pricing
     10.7. Availability by region
     10.8. Support options

Online Training Content

Date Title
5/24/2017 Orchestrating Big Data with Azure Data Factory
7/4/2016 Design and Implement Big Data & Advanced Analytics Solutions
2/25/2016 Orchestrating Data and Services with Azure Data Factory

Tools

Tool Description

Videos

Date Title Length
5/12/2018
Iterative development and debugging with Azure Data Factory
0:07:38
5/7/2018
Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday
0:11:05
5/6/2018
ETL 2.0 - Data Engineering for developers
1:33:22
5/6/2018
Develop scalable analytical solutions with Azure Data Factory & Azure SQL Data Warehouse
1:33:22
5/6/2018
New capabilities for modern data integration in the cloud
1:33:22
4/17/2018
Continuous integration and deployment using Azure Data Factory | Azure Friday
0:09:11
1/25/2018
Cloud Tech 10 - 22nd January 2018 - Data Factory v2 Visual Tools, Accelerated Networking and more!
0:08:18
1/16/2018
Azure Friday | Visually build pipelines for Azure Data Factory V2
0:19:32
1/16/2018
Visually build pipelines for Azure Data Factory V2
0:19:31
11/17/2017
Lift and shift SSIS to the cloud by using Azure Data Factory | T138
0:09:01

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