PuppyGraph aims to address this with its zero-ETL engine by enabling businesses to work with their existing SQL infrastructure while accessing the advanced capabilities of graph analytics. It does ...

Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes.

Previously, customers had to use ETL tools such as Dataflow or self-developed Python tools to copy data from Bigtable into BigQuery; however, now, they can query data directly with BigQuery SQL.

I’ll explore the implications of the in-memory and extended graph query features at a later date. For now, it is clear that the new mapping to SQL will make certain types of graph ETL much easier.

Business happens in real time but many business systems don’t. It’s time to move past client-server databases, data warehouses, and batch processes.