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!
Nexla ? Firebolt: How-to?Data Mesh and Sub-Second Operational Analytics
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.
Product Updates
New Connectors: Databricks, Delta Lake, Teradata, and File Upload
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.
Snappy Compression for Parquet Files
Working with Parquet files in Nexla just got an upgrade, with new Snappy compression available as an option for reading or writing files.
Oracle NetSuite Connector and Partnership
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.
We’ve seen the API Economy, but now it’s time for the Data Economy because ultimately what matters is that data gets delivered securely, reliably, and in a timely way. Read the blog post.
Explore how Express.dev makes AI agents capable of generating rich, interactive UI for structured data workflows. From XML-driven forms to real-time validation and OAuth flows, generative UI turns chat into a truly collaborative experience.
Beyond Compliance: Why Privacy is the Foundation of Trustworthy AI
While it is true that AI offers enormous opportunities for innovation and success, its reliance on personal data raises urgent concerns about privacy, ethics, and governance
CurieTech’s Systematic Path to Production AI Agents
In this second episode of DatAInnovators & Builders, Ashish Thusoo breaks down how CurieTech AI uses benchmarks-first discipline and AI-driven build loops to achieve 70–80% productivity gains.