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Happy holidays from all of your friends at Nexla. It’s been quite a busy 2021 for us and we’re excited for what 2022 has to bring. This will be the last Nexla Newsletter from us this year, so let’s dig in!
A lot happened for Nexla in 2021! Make sure to catch up on our Gartner Cool Vendor, Series A, and SOC2 Type II Compliance announcements in case you missed it.
We will be joining the Firebolt team for an upcoming webinar on January 11th to discuss and demonstrate how companies are embracing data mesh and sub-second analytics approaches. Register for the webinar today.
This month we added several new connectors, check them out in Nexla: Databricks, Delta Lake, Teradata, and File Upload connector that let’s you upload and integrate files from your computer directly into your Nexla data flows.
Working with Parquet files in Nexla just got an upgrade, with new Snappy compression available as an option for reading or writing files.
We’re proud to announce a new Oracle NetSuite connector. Now it’s easier than ever to bring NetSuite Analytics and Finances to be the preferred way to integrate data to and from Oracle services.
Why Data Economy is subsuming the API Economy
Register for Nexla’s Next Biweekly Live Demo
Our webinar is now every other week! Join us to learn how we make it easy for data teams to work with data.
In the demo, you will get a close view of the Nexla platform as we set up a complete data flow.
UPCOMING DATES
Wed, Jan 12: 8:30-9am PST
Wed, Jan 26: 8:30-9am PST
Suggestion or Feedback?
We are here to make working with data easier for you. Please contact us anytime
if you have suggestions or feedback for us.
Best,
The Nexla Team
In episode five of DatAInnovators & Builders, GrowthX founder Marcel Santilli explains the delegation test for AI and why poor context, not weak models, is the real reason AI initiatives fail to scale.
In episode four of DatAInnovators & Builders, BigID’s Stephen Gatchell explains the data governance gap blocking AI production, why unstructured data breaks legacy models, and how data product frameworks enable scale.
In the News: betanews.com: In this Q&A, Saket Saurabh explains why context engineering is key to reliable, compliant, and intelligent enterprise AI workflows.
