The Ascend Blog

Get insights and advice on automating repetitive data engineering, optimizing data platform costs, and accelerating data initiatives at your company.

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Master Snowflake cost optimization: understand your spending and how to harness data pipelines for cost control to amplify value for every dollar.
Michael Leppitsch
October 20, 2023
Explore the intricacies of automating data: from practical steps and common challenges to real-world success stories in diverse industries.
Paul Lacey
October 12, 2023
Explore Snowpark's process from setup to advanced deployment. Discover how Ascend simplifies this detailed journey for data engineers.
Jon Osborn
October 4, 2023
Explore the transformative power of automated ETL pipelines in modern data engineering. Dive into benefits, features, and their strategic edge.
Paul Lacey
September 19, 2023
Learn why Python for data engineering is the first choice for experts, its benefits, and how it's used in real-world applications.
Jon Osborn
September 14, 2023
Discover why Zero ETL might not live up to the hype. Exploring its rise, benefits, and deeper implications in the data landscape.
Paul Lacey
September 12, 2023
Explore Snowflake Snowpark: what it is, its breakthrough features, impact on developers, and optimization tips.
Jon Osborn
September 5, 2023
Explore the evolution from ETL and ELT to the dynamic EtLT approach, highlighting the shift towards continuous data refinement in modern data operations.
Michael Leppitsch
August 31, 2023
Learn what end-to-end data pipelines are and why they're crucial for data teams aiming for efficiency and success.
Jon Osborn
August 29, 2023
Explore the role of a Data Automation Engineer: mastering automation to streamline data pipelines and drive high-impact business results.
Jon Osborn
August 24, 2023
Explore the significance of automated data pipelines in modern business. Learn their components, benefits, and how they transform data engineering by enhancing efficiency, precision, and adaptability.
Paul Lacey
August 22, 2023
Explore why Notebooks, while powerful for prototyping, may not be ideal for production data pipelines and discover robust alternatives.
Jon Osborn
August 18, 2023

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