Discover the latest DataOps insights and trends

Find quick tips and topical thoughts on our blog. See how other organizations are making waves in our case studies. Discover research and thought leadership from our white papers and eBooks. Stay up to date on current strategies with upcoming and on-demand webinars and events. Whatever your focus, we’ll keep you informed about the latest DataOps insights.


Whitepapers & eBooks

Explore the #TrueDataOps philosophy and why Apache Airflow, the forerunner, and originator of automated workflow monitoring and management tools, never was an ideal solution for data pipeline orchestration workflows.

Adopt the DataOps philosophy to improve the governance and agility of your data products. Create a shared understanding of the goals and methods of DataOps and #TrueDataOps and create a starting point for collaboration.

This report from the Eckerson Group examines four leading DataOps platforms: DataKitchen,, Zaloni, and Unravel. It describes each product, highlights its key differentiators, and identifies target customers for each.

Case Studies

Wejo is a dynamic, fast-growing company based in the northwest of England. Learn how is helping Wejo clients with secure, dedicated access to a massive store of connected car data, each with distinct resources to perform their own analytics.

OneWeb is a global communications company on a mission to connect everyone, everywhere. See how OneWeb is using and Snowflake to govern every item of data, automate every data pipeline and create a culture of self-service analytics.

This UK market-leading gas supply company’s delivery of healthcare oxygen has faced unprecedented demand. Find out how is helping BOC manage cylinder stock and logistics data to increase production efficiency and provide best-in-class customer service.


DataOps for Snowflake is a one stop platform for 100% of your DataOps lifecycle to enable agility and responsiveness, with no compromise on data security and governance - end to end orchestration, environment management, CICD, automated testing, and ELT in an elegant UI.

DataOps for IoT (Gallium) is a machine learning algorithm that massively reduces the amount of IoT/time series data needed to be transported, stored or processed to achieve results with guaranteed accuracy - over 99% accuracy with less than 1% of the raw IoT time series data.

Data Superheroes are expert users who go above and beyond in supporting other Snowflake Community members. Our very own Guy Adams has become the #1 Snowflake Data Superhero as part of the Data Superhero program and is interviewed here by Kent Graziano - the Data Warrior.

Webinars & Events

DataOps is a combination of tools and processes to improve the throughput and quality of what data teams produce, turning data development from an artisanal craft to a scalable, industrial process. But how does a data team get started? Watch our CTO, Guy Adams, discuss all things DataOps as a panelist on the Eckerson Group Shop Talk.

Watch this webinar, in partnership with Snowflake, to see why we’re excited about Snowpark and Java user-defined functions (UDFs) and how these features represent a major new foray into data programmability. Find out how to lifecycle Snowpark and Java UDFs through DataOps with CI/CD and automated regression testing.

Watch this webinar, in Partnership with Snowflake, to see how OneWeb is securely storing and governing every item of data and automating every data pipeline from source to destination. We explore how they’ve built a data hub to foster a culture of self-service analytics, leveraging data across their business and their own private data exchange.

How can you do CI/CD and DataOps for Snowflake so you can deliver business value faster?" Join Kent Graziano from Snowflake, Justin Mullen and Guy Adams from, for a technical masterclass on CI/CD for Snowflake and how helps enterprises accelerate onboarding DataOps principles for the Snowflake platform.

The data industry has not been ready, nor had the fundamental platform capabilities for a declarative approach to building data platforms, until now. This technical master class explores how Snowflake and combine to enable a fully declarative approach to building and rebuilding your data platform and associated data pipelines.

For decades, ETL and then ELT were the go-to means for feeding data warehouses and other analytical applications. That's now changing in dramatic fashion, as modern data pipelines take hold. What does this mean? Check out this episode of DM Radio with Eric Kavanagh, CEO, The Bloor Group and Justin Mullen, CEO


Through Snowpark, Snowflake and are now enabling data engineers, data scientists, and developers who prefer other languages to take advantage of Snowflake’s powerful platform capabilities and the benefits of Snowflake’s Data Cloud.

Learn more

Snowpark Accelerated