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Azure Data Lake Storage Integration Guides and Tutorials
A list of guides and tutorials for connecting to and working with live Azure Data Lake Storage data.
CData Software's connectivity tools enable users to connect directly to live Azure Data Lake Storage data data from widely-used BI, analytics, ETL, and custom applications, ensuring that our customers can access their data wherever they desire. Below, you'll find a collection of guides and tutorials on integrating with live Azure Data Lake Storage data.
Integration Use-Cases
Click below to jump to articles related to specific integration use-case.
- Business Intelligence & Analytics - charting, reports, and more (Tableau, Power BI, Amazon QuickSight, etc.)
- ETL & Replication - moving and replicating data (CData Sync, AWS Glue, Oracle Data Integrator, etc.)
- Data Virtualization - retrieving and manipulating data (DbVisualizer, SQL Server PolyBase, etc.)
- Software Development - developing custom applications (.NET, AngularJS, Ruby, Python, etc.)
- Data Management - managing data (DBArtisan, RazorSQL, SQuirreL, etc.)
- Workflow Automation - building automated workflows (SSIS, Power Automate, etc.)
Business Intelligence & Analytics
ETL & Replication
Data Virtualization
Software Development
Data Management
Workflow Automation
| Product | Technology | Article Title |
|---|---|---|
| MuleSoft Anypoint | JDBC | Access Azure Data Lake Storage in Anypoint Using SQL |
| Nintex Workflow Cloud | Connect Cloud | Build Azure Data Lake Storage-Connected Workflows in Nintex |
| Power Automate | Connect Cloud | Integrate Azure Data Lake Storage Data into Power Automate Automated Tasks |
| SSIS Import | SSIS | Import Azure Data Lake Storage Data into SQL Server using SSIS |
