Modernizing Your Data Management Strategy for the AI Era
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 (based on the webinar below) explores how data engineering teams can leverage AI and automation to enhance productivity and tackle current challenges. We will explore […]
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

Data automation reduces manual work and enhances data management. Learn how automated data engineering empowers data teams to drive better outcomes.