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.
Team Ascend
Ascend.io earns placements on Built In's Best Places to Work in San Francisco and Best Remote Places to Work.
Newsroom>Ascend in the News
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.
Data Engineering 101
Dive into ETL for Snowflake: Discover if you need it, when it's essential, and tips on picking the perfect ETL tool for your data strategy.
Snowflake
Uncover data orchestration's impact on workflow efficiency and reevaluate the necessity of an orchestration layer in your data strategy
Explore practical AI use cases for enterprises, including real-world examples and strategies for successful AI integration.
Generative AI
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.
Explore data pipeline orchestration, its strategic role in data management, and how it differs from general data orchestration.
Explore the essentials of ELT: uncover its core principles, trace its evolution, and understand its role in today's dynamic data landscape.
Explore the crucial role of the Chief AI Officer (CAIO) in guiding businesses through AI's transformative impact and avoiding Conway's law pitfalls.
Data pipeline automation is an intelligent control layer in a data pipeline platform designed to autonomously orchestrate and manage changes within data pipelines.
Data Automation
Explore 2023 DataAware Pulse findings: Key insights to refine your data team's strategies and boost competitiveness.
Explore the transformative power of automated ETL pipelines in modern data engineering. Dive into benefits, features, and their strategic edge.
Master Snowflake cost optimization: understand your spending and how to harness data pipelines for cost control to amplify value for every dollar.
Explore the intricacies of automating data: from practical steps and common challenges to real-world success stories in diverse industries.
Explore Snowpark's process from setup to advanced deployment. Discover how Ascend simplifies this detailed journey for data engineers.
European data teams can now automate data pipelines with the ease of a managed SaaS offering while meeting data sovereignty requirements.
Newsroom>Company Announcements
Learn why Python for data engineering is the first choice for experts, its benefits, and how it's used in real-world applications.
Discover why Zero ETL might not live up to the hype. Exploring its rise, benefits, and deeper implications in the data landscape.
Explore Snowflake Snowpark: what it is, its breakthrough features, impact on developers, and optimization tips.
Explore the evolution from ETL and ELT to the dynamic EtLT approach, highlighting the shift towards continuous data refinement in modern data operations.
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.
Discover the traits of successful data teams and learn how to navigate common challenges to become a data-driven powerhouse.