Data Flows: Designing Strategies for Seamless Integration
How to Design a Data Flow in 6 Steps: 1. Engage Key Stakeholders2. Identify Data Sources3. Define Data Requirements4. Implement Data Flow Diagrams (DFDs)5. Build & Optimize Data Pipelines6. Incorporate […]
Built In Honors Ascend.io in Its Esteemed 2024 Best Places To Work Awards
Ascend.io earns placements on Built In’s Best Places to Work in 2024 on the lists of Best Places to Work in San Francisco and Best Remote Places to Work.
Gartner Report: 5 Ways to Enhance Your Data Engineering Practices
How to build a data strategy focus on the best-of-breed outcome? Discover the five differentiating traits among successful data engineering teams.
Ascend.io, the Leader in Data Pipeline Automation, Expands Global Footprint
We’re excited to introduce Robin Rostratter as Head of EMEA sales to better engage and support our existing and new business in Europe, Middle East, and Africa.
Ascend.io Launches Solution in Partnership with Snowflake, Enabling Cost Savings for Data Teams
Free Ingest on Snowflake is a new feature that reduces an enterprise’s data ingest cost and delivers data products up to 7x faster.
Reverse ETL to Fuel Future Actions with Data
Discover how reverse ETL empowers teams across the business to operationalize their data, rather than keeping all data in a centralized silo.
Data Migration: Types, Process, and Successful Strategies
Data migration is a common undertaking for data teams. Yet, many underestimate the process. Discover how to keep from making the same mistake.
Ascend.io Expands Data Automation for Snowflake Data Cloud with Free Developer Tier Offering
With Demands on Data Teams Surging and the Need for Data Automation Skyrocketing, Snowflake Users Now Have Exclusive Developer Tier Access to the Ascend Data Automation Cloud
Ascend.io Adds Support for Snowflake Snowpark for Python to Deliver Increased Flexibility for Data Teams
As Part of the Snowpark Accelerated Program, the Ascend.io Snowpark for Python Integration Extends End-to-end Automation for Multi-language Workloads With Access to the Rich Open Source Ecosystem on the Snowflake Data Cloud
Getting to the Heart of ETL with Data Transformation
In this episode, Sean and I chat with one of Ascend’s Field Data Engineers, Shayaan Saiyed, about one thing data engineers can’t function without—data transformations.
New Research Finds Data Automation Adoption to Climb from 3.5% to 88.5% Over the Next 12 Months
Adoption Rising as the Need for Data Products Grows Faster Than Team Size and a Staggering 95% of Data Teams Are Still at or Over Capacity
Ascend.io Secures $31 Million in Funding with Series B Led by Tiger Global to Advance Data Automation
Tiger Global, Shasta Ventures, and Accel Back Ascend.io’s Advanced Data Automation Cloud to Dramatically Increase Data Team Productivity