Datacoral July Update

Datacoral Newsletter

\At Datacoral, we have had a very interesting transition to an all-remote team during the craziness that has been the COVID Quarter Q2 2020. We even moved our weekly yoga sessions to Zoom! We did a 24 hour remote hackathon where folks in the engineering team worked on several cool ideas to improve our developer velocity as we continue to work remotely.

Latest news

Product update

We have made several updates to the Datacoral product!

New and updated connectors

Datacoral plus JDBC plus Oracle NetSuite plus Drift
  • Drift – Drift is a fast growing conversational marketing platform. Datacoral is one of the very few data integration providers to support it!
  • JDBC – Datacoral added a JDBC connector  to support several SQL dialects out of the box – OpenAccess, Oracle, PostgreSQL, MySQL, Microsoft SQL Server.
  • Netsuite – We now support syncing over 500 objects out-of-the-box from Netsuite using JDBC!
  • PostgresSQL and MySQL Change Data Capture connectors now have a standardized mechanism to handle all schema changes at the source.

Data quality checks

  • Datacoral now allows you to use SQL or Python to specify arbitrary data quality checks on your tables to ensure there are no badly formatted values, missing values, and even foreign key violations.
  • Data quality checks can be added as additional triggers for transformations to ensure all analyses are run only on good quality data.

Integrate Datacoral into your workflows

Python Batch Transform Functions

Python Batch Transform Functions
  • Use Python transformations using arbitrary libraries within your SQL-based data pipelines.
  • Our customer, Jyve, wrote a blog post how they have been able to use this feature to incorporate geospatial indexing easily into their pipelines.

Reach out to us or sign up for a free fully-featured trial!



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