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Automatic Error Reporting
You can follow along with this article through our Feature Spotlight video. Being able…
Saket Saurabh
Data Flows And Data Pipelines: The Evolution of a Process
While the terms ‘data pipeline’ and ‘data flow’ are often used interchangeably, they describe different versions of the same process.
How To Map Custom Field Names to Labels in JIRA
JIRA is a popular tool used by many software organizations to manage requirements, bugs, issues,…
How to Automate Partner Onboarding
The Challenge Onboarding partners can be one of the largest bottlenecks for large…
Nexla is AWS Redshift Service Ready!
We’re proud to announce that Nexla’s partnerships now extend to being AWS Redshift Service Ready….
How to Maintain Data Quality for Real-time Data Flows
Data quality is the basis of smooth operations and reliable outcomes of analytical algorithms, AI,…
How to Create and Share Static and Dynamic Lookups
Follow along with today’s post as a video. Today we’re covering how to use Nexla’s…
The Rising Hype for Automated Data Engineering
Get your complimentary copy of the Gartner 2022 Hype Cycle for Data Management here. With…
Cut Your Data Costs With A Unified Data Solution
Data may be costing you more than you know. Server costs, time costs of data…
Sharing Custom Data Transforms
Nexla makes it easy to create custom transforms with Python, Regex, JavaScript, or JSON and…
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…
Security vs Flexibility: Picking the Right Data and Analytics Governance Platform
Data and analytics governance is an up-and-coming aspect of data management that is causing difficulties…
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