Data Accelerator for Apache Spark v1.2

What's new

• Added Azure Databricks support (#63)
• Added Batch processing for Azure Blobs inputs (#73)
• Added Azure SQL outputs, including Azure SQL, Azure DW and Azure DB (#86)
• Added Save Flow button to save without deploying
• Migrated processing to use Spark 2.4 (#79)
• Migrated services to .Net Core 2.2.6 (#111)
• Enabled AppId authentication through Services
• Extracted Query package to enable rehosting Query tab
• Issues fixed: Failure to deploy sample if using the Master branch for ARM deployment (#81)
• Developers: Added Scenario testing to validation suite, more unit tests and enabled code coverage collection
• Security improvements

To install, download the source below and follow instructions here https://github.com/Microsoft/data-accelerator/wiki/Cloud-deployment.

Data Accelerator for Apache Spark v1.1

Second release of Data Accelerator for Apache Spark available on 6/10/2019

What's new?

• Support for Kafka inputs including Kafka Event hub and native Kafka clusters.
• Issues fixed: Azure Functions configuration (#60)
• Bug fixes: Event Hub output and ensuring job retries
• Security improvements
• Developers : Enabled use of multiple credentials with AAD application

To install, download the source below and follow instructions here https://github.com/Microsoft/data-accelerator/wiki/Cloud-deployment.

Data Accelerator for Apache Spark v1.0

First release of Data Accelerator available on 4/16/2019.

To install, follow install instructions here: https://github.com/Microsoft/data-accelerator/wiki/