

Data Pipeline vs. ETL: Which Delivers More Value?
Discover key differences between data pipelines vs. ETL processes, and which delivers more value in today’s data-centric world. … Read More
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Discover key differences between data pipelines vs. ETL processes, and which delivers more value in today’s data-centric world. … Read More
Discover the post-modern data stack: reduce time to value, easily navigate skills shortages, and boost your data team’s productivity. … Read More
Explore the challenges of the modern data stack and uncover the path toward the next revolution in data engineering: end-to-end automation. … Read More
How to build a data strategy focus on the best-of-breed outcome? Discover the five differentiating traits among successful data engineering teams. … Read More
Discover how reverse ETL empowers teams across the business to operationalize their data, rather than keeping all data in a centralized silo. … Read More
Explore the differences between ETL vs ELT, why ETL is shifting towards ELT, and what can we expect in the future. … Read More
Data migration is a common undertaking for data teams. Yet, many underestimate the process. Discover how to keep from making the same mistake. … Read More
Unlock actionable insights and drive business growth with efficient, automated data pipelines. Explore the basics, challenges, and new approaches. … Read More
Do we still need ETL? The answer is “yes”. Discover what a modern ETL process looks like and why it is still important. … Read More
In this episode, Sean and I chat with one of Ascend’s Field Data Engineers, Shayaan Saiyed, about one thing data engineers can’t function without—data transformations. … Read More
How do you structure and make data accessible for stakeholders to drive insights? The answer is data transformation. Discover more! … 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
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