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.
What is Data Pipeline Automation? Discover its fundamentals, how it works, and why we need it to produce business value from data programs.
Explore the intricacies of automating data: from practical steps and common challenges to real-world success stories in diverse industries.
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 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.
Learn how intelligent data pipelines produce business results at game-changing velocity via a unified tech stack and scaled automation.
Discover why Audacy selected Ascend to deliver new data products and station-specific insights 10x faster than with multiple toolsets.
I went for a hike the other day. As much as I enjoy nature, I’m a geek at heart so I naturally started thinking about the various levels of awareness that data tooling has.
I thought I’d share a couple of themes that kept coming up during conversations at Snowflake Summit with a range of people from data engineers to data analysts to executives and business people.
In this installment of the Ascend partner webinar series we talk with Cyrus Facciano and Jared Langguth, the principals of X is Y, about their secret sauce to helping major enterprises create business value with technology and automation.