Zero ETL: What’s Behind the Hype?
Discover why Zero ETL might not live up to the hype. Exploring its rise, benefits, and deeper implications in the data landscape.
Moving Past ETL and ELT: Understanding the EtLT Approach
![Cloud computing concept representing EtLT.](https://www.ascend.io/wp-content/uploads/2023/08/etlt-blog-cover-1024x576.jpg)
Explore the evolution from ETL and ELT to the dynamic EtLT approach, highlighting the shift towards continuous data refinement in modern data operations.
End-to-End Data Pipelines: Hitting Home Runs in Data Strategy
Learn what end-to-end data pipelines are and why they’re crucial for data teams aiming for efficiency and success.
Why You Shouldn’t Use Notebooks for Production Data Pipelines
Explore why Notebooks, while powerful for prototyping, may not be ideal for production data pipelines and discover robust alternatives.
Rapid Start to Data Team Success
Discover the traits of successful data teams and learn how to navigate common challenges to become a data-driven powerhouse.
Data Pipeline Architecture: Understanding What Works Best for You
Delve into data pipeline architecture types and get actionable guidance on choosing the best fit for your business.
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.
From Patchwork to Platform: The Rise of the Post-Modern Data Stack
Discover the post-modern data stack: reduce time to value, easily navigate skills shortages, and boost your data team’s productivity.
The Hidden Challenges of the Modern Data Stack
Explore the challenges of the modern data stack and uncover the path toward the next revolution in data engineering: end-to-end automation.
How to Ensure Data Integrity at Scale By Harnessing Data Pipelines
We developed a framework with a sequence of stages to implement data integrity quickly and measurably via data pipelines.
Gartner Report: 5 Ways to Enhance Your Data Engineering Practices
How to build a data strategy focus on the best-of-breed outcome? Discover the five differentiating traits among successful data engineering teams.
Reverse ETL to Fuel Future Actions with Data
Discover how reverse ETL empowers teams across the business to operationalize their data, rather than keeping all data in a centralized silo.