Data migration is a common undertaking for data teams. Yet, many underestimate the process. Discover how to keep from making the same mistake. … Read More
Data Engineering
Data Pipeline Basics: From Raw Data to Insights
How can you combine the information from different sources and make it actionable? Here is where your data pipeline comes in. Read more! … Read More
ETL Process: What It Is & How It Works
Do we still need ETL? The answer is “yes”. Discover what a modern ETL process looks like and why it is still important. … Read More
How Ascend Ingestion Accelerates Data Product Delivery
Discover how Ascend ingestion is fully integrated within the entire Data Automation platform and produces time and cost savings at scale. … Read More
Why Startups Love Ascend
Discover why startups love Ascend to eliminate distractions, make more data-driven decisions, and stay focused. … Read More
Why Free Data Ingestion Accelerates Business Value
Discover how free data ingestion removes a barrier to focusing on meaningful transformations and faster delivery. … Read More
Automating Data Workloads for Success: Is Your Automation Architecture Data Aware?
I went for a hike the other day. As much as I enjoy nature, I’m a geek at heart so I naturally started thinking about the various levels of awareness that data tooling has. … Read More
Automating Data Workloads for Success: Reflecting on Snowflake Summit 2022
I thought I’d share a couple of themes that kept coming up during conversations at Snowflake Summit with a range of people from data engineers to data analysts to executives and business people. … Read More
Automating Data Workloads for Success: Why I Joined Ascend.io as Field CTO
Introducing lots of cloud native services, new advances in deep analytics and A.I., and other technology can slow down delivery, increase sprawl, yet solve real problems while creating others. … Read More
Certifying Data Fresh and Organic with Data Lineage
In this episode, Sean and I talk with Jon Saltzman about all things data lineage and its importance at every step of the data pipeline. … Read More