Leveraging AI & Automation in Data Engineering: 4 Essential Frameworks
Data engineering is evolving rapidly, driven by advancements in AI and automation. As teams face increasing demands, the need for efficient and effective solutions has never been greater. This article […]
Snowflake Summit 2024 Reflections: An Exciting Road Ahead for Data Engineering
Snowflake Summit 2024 has set the stage for exciting changes in the data landscape. As a data enthusiast and a leader in data engineering, I’m eager to share my reflections on these innovations and their implications for Ascend.
Introducing Project Inception: The Next Evolution in Data Automation
At Ascend, we believe it’s time to rethink data engineering from the ground up.
As the world of data continues to evolve at a breakneck pace, we are thrilled to announce the next revolutionary step in our journey – Project Inception.
Beyond Technology: Organizational Changes Needed for Data Mesh Adoption
Explore the pivotal organizational changes necessary for successful implementation of the data mesh model in your business.
The Transformative Impact of AI on Data Engineering and Beyond
Discover the impact of AI on data engineering and how it is redefining roles, improving efficiency, and driving innovation.
The Post-Modern Data Stack: Boosting Productivity and Value
The ‘post-modern data stack’ aims to remedy the complexity and inefficiencies of the ‘modern data stack,’ enabling engineering teams to focus on creating value and improving productivity.
6 Top Data Engineering Predictions for 2023
Sean Knapp predicts six data engineering trends for this year based on customer discussions and conversations with other leaders.
Evolution of the Cloud Data Platform: From Google to Ascend
Sean Knapp explores the evolution of the cloud data platform from his time at Google to Ascend to understand what’s happening in the data world today.
Investing in Automation
What Our Series B Signals, and Why 2022 is the Year of Automation
Three Mistakes Data Engineering Managers Make That Slow Down Development (And How to Speed It Back Up)
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.
Data Automation: What It Is and Why It Matters
Dive into data automation: its pivotal role in modern data engineering, benefits, and the journey from imperative to declarative approaches.
2021 Look Back (5X User Growth!) and 2022 Look Forward (The Year of Data Automation)
By the numbers, this year was nothing short of remarkable. Developers on Ascend grew 5x in 2021. This was driven not only by new customers, but also by consistent growth in adoption across existing teams, with the number of developers per team expanding by more than 2.4x.
