To Succeed In 2025, Data Engineers Need to Become More Lazy!

When asked how he addresses difficult and complex challenges, Microsoft founder Bill Gates replied, “I will always choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it.”

Gates’ advice seems counterintuitive regarding the difficult and complex challenges data engineers will face in 2025. That is until you consider recent advancements in AI-enabled data engineering tools.

Data Engineering Success = Business Success 

Data volumes, diversity, distribution, user demand, and more are among the overwhelming challenges facing data engineers in 2025.

Expectations are high to streamline data flows, optimize performance, reduce costs, and implement next-gen technologies.

Given data’s strategic value, especially in today’s increasingly AI-driven business environment, failure is not an option.

AI-enabled Data Engineering Tools to the Rescue

AI-enabled data engineering tool capabilities have improved dramatically over the past several years. These include advanced tooling for these #dataengineering domains:

●      Observability

●      Pipeline Development

●      Data Quality

●      Resource Allocation

●      Workload Management 

●      Query Performance 

●      Cost Management

●      And More

Following Gates’ maxim, “lazy” data engineers make their jobs “easy” by smartly offloading increasing portions of their workloads onto these automated tools.

Not only does this help them complete Gates’ “hard job” sooner and more efficiently, but it also frees up time to take on additional complex data engineering jobs essential to business success.

The Art of the Possible in AI-enabled Data Engineering 2025

As a data engineering leader, building your 2025 plans requires understanding the wealth of AI-enabled data engineering capabilities available today and how best to take advantage of them.

The lazy way to learn this essential information is to attend our Insight Jam Session: To Succeed In 2025, Data Engineers Need to Become More Lazy! on Friday, December 6 at Noon EST.

There, you will learn about tangible 2025 opportunities from three leading authorities on AI-enabled data engineering:

·      Barzan Mozafari, CEO and Co-Founder at Keebo

·      Kyle Kirwan, CEO and Founder of BigEye

·      Vinayak Mitty, Director of Data Science and Engineering at PPLSI

In that session, our panelists will address these critical questions:

●      What is driving the rise of AI-enabled data engineering tools today?

○      Business needs?

○      Technology breakthroughs?

○      New thinking about old problems?

○      All of the above?

●      What were some of the most significant AI-enabled data engineering tooling advancements in 2024?

●      What’s coming in 2025?

●      How are data engineering teams and their internal customers benefitting?

●      What starting points will yield the quickest return?

Sign up now.  See you then and there.