DataOps
DevOps for Big Data and Analytics
DataOps launched on October 29, 2019 with 2 votes. The site was still online in September 2026, 6 years on.
What it does
DataOps is a Data Operation, and it is the latest Agile operations method from the collective of IT and Big Data professional.
A Complete Guide for DataOps tools, Best practices and principles for consistent, automated, and secured data analytics and management.
Our XenonStack Team will shortly reach out to you. We are looking forward to showcase how XenonStack can transform your business. Organisations increasingly rely on seamless data workflows to make informed decisions in today's data-driven world. The ability to manage, process, and monitor vast amounts of data efficiently and accurately has become a critical success factor. This is where DataOps (Data Operations) comes into play—an evolving practice that combines data engineering, quality monitoring, and governance to streamline the entire data lifecycle. DataOps enables organisations to automate and optimise key aspects of their data infrastructure, ensuring data is always accessible,…from xenonstack.com
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SQLMesh – The Future of DataOps2023 · github.com · ▲29Hey Show HN! I’m Toby and over the last few months, I’ve been working with a team of engineers from Airbnb, Apple, Google, and Netflix, to simplify developing data pipelines with SQLMesh (https://github.com/TobikoData/sqlmesh). We’re tired of fragile pipelines, untested SQL queries, and expensive staging environments for data. Software engineers have reaped the benefits of DevOps through unit tests, continuous integration, and continuous deployment for years. We felt like it was time for data teams to have the same confidence and efficiency in development as their peers.…
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