What Is AI Usage Data. How Enterprises Can Collect It.
Learn what AI usage data includes, how enterprises collect and track it, and why centralizing usage metrics is key to measuring AI adoption and ROI.
Aug 4, 2026
DataOps
DataOps applies the discipline of automation, monitoring, and continuous delivery to data pipelines, the way DevOps did for software, improving the reliability and speed of data operations at scale.
Nexla builds DataOps discipline into the platform itself — monitoring, alerting, and automated pipeline management, so teams catch data issues before they hit downstream dashboards or agents.
Reusable Data Products for GenAI Unifying Databases, PDFs, and Logs
Reusable data products unify databases, PDFs, and logs with metadata, validation, and lineage to enable join-aware RAG retrieval for reliable GenAI applications.
Feb 10, 2026
Governed Self-Service Data: A Metadata-First, No-Code Approach for Business Users
Governed self-service data embeds metadata controls, quality guardrails, and access policies. This enables business users to explore and transform data in no-code while preventing metric drift.
Feb 6, 2026
Turn Raw Feeds Into Reusable Data Products With Metadata-Intelligent Integration
Raw feeds without context create endless rework. This metadata-first blueprint shows how to turn changing source feeds into governed, reusable data products with automated validation, lineage, and GenAI-ready contracts.
Jan 17, 2026
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
By Neil Todkar
Your New Private Marketplace for Data Products
Data products are the foundation of data mesh and data fabric and are essential to…
Nexla Announces the Capability to Empower Enterprises to Build a Private Data Product Marketplace
Nexla (https://nexla.com), a visionary in automating data engineering with a data product-centric approach whose customers…
Democratizing Data Through Data-as-a-Product: Use Cases & Architecture
In today’s competitive world, organizations need to be able to pull data from everywhere in…
Partition and Transform Data with Unique Rules and Destinations
Background Gathering data in a central warehouse or database helps with maintaining a single source…
How to Work with Data When You Have a Target Schema
Background What is a target schema? When you move data to a destination, the destination…
By Angela Chen
What is a Data Product?
How treating data as a product is bringing speed, collaboration, and ultimately democratization to data use.
Nexla January Newsletter
Happy New Year! Heading into 2022, we have some exciting updates and news from Nexla….
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
