Webinar 
New whitepaper: Understanding Avro, Parquet, and ORC
An Introduction to Big Data Formats Innovative, data-centric companies are increasingly relying on big data…
Saket Saurabh
Introducing the 2018 DataOps Assessment
It’s time for the DataOps Assessment—learn how your company’s DataOps compares to others along the…
Introducing Flex API: No-Code Data API Integration Technology
Today we’re excited to announce the launch of Nexla’s Flex API technology for API data…
Let’s Talk DataOps: Adam Leary, VP Applied Machine Learning Group at CBSi
Welcome back to Let’s Talk DataOps! In this series, we interview the leading thinkers in…
Case study: How Instacart uses Nexla to Accelerate Partner Integration
We’re excited to tell the story of how Nexla helped accelerate Instacart’s partner integration. Instacart…
Nexla Year in Review: Data is Eating the World
2017 was the year when AI came into the mainstream of computing and has now…
Three Predictions for DataOps in 2018
It has been a whirlwind of a year for DataOps! Companies like MapR, StreamSets and…
Nexla announces Parquet support to Lower Query Costs and Improve Performance of Amazon Athena and Redshift Spectrum
Nexla is happy to announce support for Apache Parquet, a free and open-source column-oriented data…
The 3 Biggest Cloud Challenges: Athena, Redshift, and Multi-Cloud
We’re looking forward to this year’s AWS re:Invent from November 27 to December 1 in…
Announcing Snowflake and Redshift Integration with Nexla
Nexla is happy to announce that Amazon Redshift integration and Snowflake integration are now available. With a…
Let’s Talk DataOps: Apoorv Saxena, Cloud AI & Research Product Management at Google
Welcome to the latest installment of our interview series, “Let’s Talk DataOps.” In this series…
Three Simple Rules to Gain Control of Retail Data
Every retailer today is digital. Whether you’re a direct-to-consumer digital brand or a 100-year old merchant with an impressive real estate footprint, data is becoming more and more important to your growth. However, harnessing data to drive business value is no easy feat. It can lead to a jumble of messy integrations that break and cause distraction. “Data Operations” is term to describe all the grunt work that has to happen before data can turn into real business value. Streamlining these Data Operations has become a requirement—not just for the retailer’s sanity, but for her bottom line.
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