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Discover the impact of AI on data engineering and how it is redefining roles, improving efficiency, and driving innovation. … Read More
The ‘post-modern data stack’ aims to remedy the complexity and inefficiencies of the ‘modern data stack,’ enabling engineering teams to focus on creating value and improving productivity. … Read More
Sean Knapp predicts six data engineering trends for this year based on customer discussions and conversations with other leaders. … Read More
Sean Knapp explores the evolution of the cloud data platform from his time at Google to Ascend to understand what’s happening in the data world today. … Read More
What Our Series B Signals, and Why 2022 is the Year of Automation … Read More
Leading data teams is challenging. Few technological domains have undergone such rapid change over the past few years. Yet the vast majority of data teams, 96% to be exact, are at or over capacity. … Read More
Data automation is the process of using automated tools to manage data rather than using manual tools, which improves efficiency … Read More
By the numbers, this year was nothing short of remarkable. Developers on Ascend grew 5x in 2021. This was driven not only by new customers, but also by consistent growth in adoption across existing teams, with the number of developers per team expanding by more than 2.4x. … Read
Not only are we seeing tremendous growth in builders, but builders are investing more time than ever (95% more per builder in fact) in their Ascend powered solutions. … Read More
Credentials Vault is a centralized place to store and manage secrets used by your dataflows. The feature makes it even easier to collaborate with others to quickly ingest from, and write to external data systems. It also empowers site administrators with an interface to audit and control all credentials in
A recursive transform is a transform that uses the output of its previous run as an input into the next run. This pattern is often used to incrementally aggregate data. In cases where historical data is substantially larger than the aggregated data, this pattern can result in significant reduction in
As we all navigate these uncertain times, one thing has never been more certain — the need to reduce spend. Dollars saved directly equates to employees kept, strategic investments continued, and savings passed on to customers. Finding unnecessary spend and inefficiencies across the business is more important than ever before.
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