Explore the evolution from ETL and ELT to the dynamic EtLT approach, highlighting the shift towards continuous data refinement in modern data operations.
The Ascend Blog
Get insights and advice on automating repetitive data engineering, optimizing data platform costs, and accelerating data initiatives at your company.
Learn what end-to-end data pipelines are and why they’re crucial for data teams aiming for efficiency and success.
Explore the role of a Data Automation Engineer: mastering automation to streamline data pipelines and drive high-impact business results.
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.
Explore why Notebooks, while powerful for prototyping, may not be ideal for production data pipelines and discover robust alternatives.
Explore Fivetran alternatives by diving into a football-inspired approach. Go beyond basic ingestion to a holistic data management strategy.
Explore the critical choices startups face in managing data operations, from company and technical constraints to the build vs. buy dilemma.
Delve into data pipeline architecture types and get actionable guidance on choosing the best fit for your business.
Although every company has unique data challenges, there are several near-universal data pipeline best practices that can guide every data leader in building a solid foundation with their team.
Learn how intelligent data pipelines produce business results at game-changing velocity via a unified tech stack and scaled automation.
Data pipeline automation has the power to not only meet leadership demands but make order-of-magnitude gains in productivity and scalability.
Dive into data automation: its pivotal role in modern data engineering, benefits, and the journey from imperative to declarative approaches.