Data Accelerator Versions Save

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

#155

4 years ago

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.

1.1

4 years ago

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.

1.0

4 years ago

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

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