Modern DataOps: A Necessity for Data-Driven Enterprises
Data operations (Dataops) originated from the word ‘DevOps’, while both DataOps and DevOps are built…
Guide
Browse Nexla’s collection of in-depth guides — conceptual explainers, frameworks, and definitional content on data integration, AI agents, MCP, and modern data infrastructure.
Data is Eating the World.
It’s Time for Unified Data Operations.
In August of 2011, Marc Andreessen wrote the famous article, Why Software Is Eating The…
Data Mesh: Design, Benefits, Hype, and Reality
Every few years, in the data ecosystem we get excited about a new buzz word…
Five Data Management Predictions (Observations) from the Trenches
Welcome 2021! Mankind wasn’t prepared for 2020! Not from a healthcare perspective, education perspective, or…
Make Data Easy for Analytics & BI in 2021
In 2020, enterprises turned to data & analytics1 in response to the business challenges presented…
Building a Data-Driven Future: Part 2
Six ELT Challenges Nobody Tells You This post is part of a five-blog series focused…
Building a Data-Driven Future: Part 1
Five Approaches to Data Processing This post is part of a five-blog series focused on…
Why Data Ops Doesn’t Work and What Needs to Change
This is a guest post by Dave Wells, Practice Director Data Management at Eckerson Group….
By Dave Wells
Fighting COVID-19 with Data
Humanity’s fight against Coronavirus depends on the speed and precision with which we can take…
What is Stream Processing?
What is Stream Processing? Stream processing is the processing of event data in real-time or…
The DataOps Trend is Real: 73% of Companies Plan to Invest in DataOps to Manage Data Teams
In order to grow successfully, companies need to leverage DataOps to better manage data teams….
New whitepaper: Understanding Avro, Parquet, and ORC
An Introduction to Big Data Formats Innovative, data-centric companies are increasingly relying on big data…
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
