Tutorials

Learn how to use Data Accelerator step by step and get started setting up your big data pipeline in minutes. Data Accelerator provides all the tools necessary to to go from simple to complex requirements, all within easy-to-use portal. Data Accelerator provides a local mode, which allows you to run the pipeline locally without any cloud dependencies. This is great for quick understanding of the tool, though features are limited. Next, you can deploy this to Azure, and unleash the full power of Data Accelerator.

Tutorials will walk you through both, the local mode as well as the cloud mode, step by step.

Local mode:

1. Create a pipeline locally with no cloud dependencies in 5 minutes!
2. Add an Alert
3. Aggregated Alerts
4. Output to disk
5. SQL
6. Debugging using logs
7. Tags
8. Aggregated Tags
9. Reference Data
10. Prenormalization
11. Time Windowing
12. Accumulator
13. UDF and UDAF
14. Customize the schema
15. Scaling docker host

Cloud mode:

1. Create a pipeline in 5 minutes!
2. Set up simple alert without writing any code
3. Set up aggregate alert without writing any code
4. Set up new outputs without writing any code
5. Tagging - Simple Rules
6. Tagging - Aggregate Rules
7. Tagged data flowing to CosmosDB
8. Live Query - Save hours by validating query in seconds!
9. Create new Metric chart
10. Windowing functions
11. Using Reference data
12. UDF, UDAF, Azure Functions
13. Accumulator
14. Scale
15. Inviting others and Roles based access
16. Data Normalization
17. Cloud Deployment parameters
18. Debugging
19. Telemetry
20. Simulator