5 Skills Data Engineers Should Master to Keep Pace with GenAI
By Sara Gates
Learn the five skills that will help data engineers stay ahead of the GenAI curve and become downright indispensable.
Experts Share the 5 Pillars Transforming Data & AI in 2024
By Sara Gates
In 2024, data teams are at a tipping point: jump onto the AI train or risk being left behind. But what does success look like? We brought the experts together to find out.
How to Set Data Quality Standards for Your Company the Right Way
By Sara Gates
By enforcing data quality standards early on, teams can ensure that their data is reliable at each stage of the pipeline.
5 Examples of Bad Data Quality in Business — And How to Avoid Them
By Sara Gates
Millions of dollars, leadership positions, public trust, lives and livelihoods: these are just some of the ways that bad data quality can impact your business.
What is a Data Engineering Workflow? (And How to Set One Up)
By Sara Gates
Who said data engineering was hard? Workflows are your key to executing DataOps tasks with reliability and scale. This guide will walk you through it all.
5 Proven Best Practices for Measuring Data Team ROI
By Sara Gates
Struggling to quantify the impact of your data team? You’re not alone. Here are 5 strategies from the experts.
How to Build a Culture of Data Trust: A Conversation with Hilary Mason
By Sara Gates
We sat down with Hilary Mason, former GM of Machine Learning at Cloudera and co-founder of HackNY, to learn more about what it takes to build a culture of data trust across three key pillars of data strategy: people, process, and technology.