Summary: Ascend.io introduces Agentic Data Engineering, a new platform that shifts routine data pipeline tasks to embedded intelligent agents. This enables teams to build faster, reduce errors, and spend more time solving business-critical problems.
Newsroom>Company Announcements
Discover Agentic Data Engineering: The first AI-native data stack that deploys intelligent agents to build, manage, & optimize your data pipelines.
The Ascend Platform
Learn 5 essential data engineering best practices to improve pipeline reliability, scalability, and team efficiency with insights from Ascend.io experts.
Data Engineering 101
Discover CI/CD practices. Learn how automation, testing, and version control improve data pipeline reliability and efficiency.
Data Automation|Data Engineering 101|Data Mesh|Data Products|Generative AI
Explore the top data engineering trends shaping 2025. Learn how to future-proof your team with smarter workflows and automation.
Data Engineering 101|Impact Engineering
Discover essential strategies for modernizing your data management approach in the AI era from industry experts. Learn how to transform traditional systems into AI-ready infrastructures, overcome common implementation challenges, and leverage data governance best practices to maximize your AI investments while maintaining security and compliance.
We are thrilled to announce that Ascend.io has been recognized as one of Built In's Best Places to Work for 2025 in the San Francisco Bay Area!
Team Ascend
Learn how to build resilient, scalable data pipelines that adapt to evolving tech and business needs with automation and intelligence.
Data teams, here's your checklist to prep for the new year. Discover key strategies to enhance productivity and stay ahead with AI, Automation, DataOps, and more.
A Guide to Data Transformation Techniques: Discover essential methods for transforming data from basics to advanced to create more value from your data.
Explore how AI is reshaping data engineering roles, skills, and career paths. Learn how Ascend.io supports engineers in this evolving landscape.
Generative AI
Data flows are crucial for seamless integration and data management. Discover how to design your data flows in 6 key steps.
Leverage AI to enhance data quality and reliability. Discover AI-driven solutions for enhanced data integrity.
Data Engineering 101|Generative AI
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.
What is DataOps? Discover benefits, best practices, and implementation strategies to enhance your data workflows and drive business outcomes.
Metadata is the information that provides context and meaning to data, ensuring it's easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights.
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.
Snowflake
Strategic partnership between Wizeline and Ascend.io to deliver significant enhancements in efficiency, security, and modernization with advanced AI technology solutions & services.
Newsroom>Ascend in the News
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.
Explore the relationship between AI and data engineering: How do they impact each other, and what does the future of their collaboration look like?
Unlock AI's potential with the right data platform: Explore AI data platform requirements, cloud capabilities, and automation for innovation.
Explore the complexities of data replication strategies in a way that's easy to understand, including types and how to choose the right one.
Explore the framework to set up a robust AI ecosystem and the key considerations for an effective AI implementation strategy.
For the second consecutive year, we stand as one of BuiltIn's Best Places To Work in the Bay Area, and also Best Remote Place in 2024.
Ascend.io earns placements on Built In's Best Places to Work in San Francisco and Best Remote Places to Work.
Explore how data products can deliver better value from data to end users in more useful and approachable ways.
Data Mesh
Learn how to build a reliable data pipeline in six clear steps. We'll guides you through design, automation, and scaling for modern data workflows.