Gaining insights rapidly from data is critical to competitiveness in today’s business world. Azure SQL Data Warehouse (SQL DW), Microsoft’s fully managed analytics platform leverages Massively Parallel Processing (MPP) to run complex interactive SQL queries at every level of scale. Users today expect data within minutes, a departure from traditional analytics systems which used to operate on data latency of a single day or more. With the requirement for faster data, users need ways of moving data from source systems into their analytical stores in a simple, quick, and transparent fashion. In order to deliver on modern analytics strategies, it is necessary that users are acting on current information. This means that users must enable the continuous movement from enterprise data, from on-premise to cloud and everything in-between.
SQL Data Warehouse is happy to announce that Striim now fully supports SQL Data Warehouse as a target for Striim for Azure. Striim enables continuous non-intrusive performant ingestion of all your enterprise data from a variety of sources in real time. This means that users can use intelligent pipelines for change data capture from sources such as Oracle Exadata straight into SQL Data Warehouse. Striim can also be used to move fast moving data landing in your data lake into SQL Data Warehouse with advanced functionality such as on-the-fly transformation and model based scoring with Azure Databricks.
Read about it in the Azure blog.