Data Flows: A Modern Take on Data Pipelines
Significant volumes of data are generated from customers, partners, product engineering, and many more operational…
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.
Data Transformation: Pitfalls to Avoid and Steps to Follow
Before you analyze any data, it needs to be structured and accessible for the analytical…
Build Ready-to-Use Dataflows with Unique Metadata Filenames
Metadata brings tracking and managing data closer to your DataOps. Whether it’s the API, bucket,…
Nexla September Newsletter: Projects, New Connectors, SOC2 Compliance
We are back with news and updates from Nexla! Nexla is now SOC 2 Type…
Nexla Achieves SOC 2 Type II Certification
Nexla is trusted for mission-critical data by some of the largest US companies across banking,…
Modern DataOps: A Necessity for Data-Driven Enterprises
Data operations (Dataops) originated from the word ‘DevOps’, while both DataOps and DevOps are built…
Nexla July Newsletter: Azure, Oracle Connectors, Nexset documentation
We are back with the latest news and updates from Nexla! The big news, in…
Nexla Partners with Oracle to Deliver Universal Connectivity to ADW and DB
Now available in the Oracle Cloud Marketplace, Nexla is the preferred way to connect to…
Nexla Partners with Tableau to Simplify Data for Analytics
Nexla is joining forces with Tableau to simplify data for Analytics. Tableau users can now…
Nexla Feature Spotlight: Governing Sensitive Data with Hashing Transforms
Data Governance must be a central tenet of any organization’s data operations. That means carefully…
Data Mesh: Design, Benefits, Hype, and Reality
Every few years, in the data ecosystem we get excited about a new buzz word…
Make Data Easy for Analytics & BI in 2021
In 2020, enterprises turned to data & analytics1 in response to the business challenges presented…
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
