Showing 11 – 20 of 24 posts found
Published • 1 min read
There is increasingly a need among users to develop and debug their Extract Transform/Load (ETL) and Extract Load/Transform (ELT) workflows iteratively. Now, Azure Data Factory (ADF) visual tools allow you to do iterative development and debugging.
Published • 2 min read
Azure Data Factory (ADF) visual tools public preview was announced on January 16, 2018. With visual tools, you can iteratively build, debug, deploy, operationalize and monitor your big data pipelines.
AI + Machine Learning, Analytics, Azure Data Factory, Azure Databricks
Published • 1 min read
Azure Databricks general availability was announced on March 22, 2018. Now Azure Databricks is fully integrated with Azure Data Factory (ADF).
Published • 4 min read
2017 年 9 月 25 日の Microsoft Ignite で、ADF v2 のパブリック プレビューが発表されました。
Published • 2 min read
We are glad to announce the addition of Visual Monitoring capabilities for ADF v2 to our customers. With this release, you can easily monitor the data factory v2 pipelines without writing a single…
Analytics, Azure Data Factory, Databases, How to
Published • 2 min read
We are glad to announce the public release of new Azure Data Factory (ADF) Monitoring & Management App.
Analytics, Azure Data Factory, Azure Data Lake Storage, How to, Storage
Published • 10 min read
This week, Microsoft announced the public preview of a new and expanded Azure Data Lake making big data processing and analytics simpler and more accessible.
Azure HDInsight, Uncategorized, data-factory
Published • 2 min read
Microsoft announced a new and expanded Azure Data Lake making big data processing and analytics simpler and more accessible.
Published • 1 min read
Azure Data Factory is now live in the North Europe region. Visit the Azure portal to create your data factory in North Europe and West US.
Batch, Uncategorized, data-factory, stream-analytics
Published • 2 min read
Microsoft launched the How-old.net demo as part of the keynote presentation at Build2015. We started the demo as a test for 50 users but it went viral with more than 33 million users and 236 million images in less than a week of activity. Very soon, this turned out to be a big data question, and we decided to augment real time with historic data analytics.