Whether it’s for capability or speed, your legacy systems will need to be replaced at some point. But how you handle that transition will determine your overall success. If you’re not careful, you might end up dealing with two separate systems.

As big data continues to grow exponentially, enterprises are discovering that legacy data environments (e.g. data warehouse or data mart) were never designed to efficiently process and extract insights from the vast volumes of data they generate today. In turn, enterprises are shifting investments away from legacy data environments and searching for future-proof alternatives (e.g., data lakes, data lakehouse, data fabric, or data mesh) to support data-driven, new-generation initiatives.

As public cloud and multi-cloud adoption skyrockets, many organizations are looking to implement compatible services. These services increase the utility of cloud infrastructure by tapping into the underlying building blocks (otherwise known as primitives) of the cloud. That’s where the idea of a “supercloud” comes into play.

How do you cultivate a focused team, motivated to build something that people will derive value from? A data leader is able to gauge team engagement, knows how to evaluate tech, and recognizes the influence of consumer analytics on innovation. Recently on Data Legends, we spoke with Raheem Daya, Sr.

As an engaged member of the AWS community, we’re always on the lookout for new technologies and software tools that can help our customers succeed in their AWS data lake initiatives. During the most recent AWS Re:Invent conference in Las Vegas, we had the opportunity to engage directly with AWS partners, customers, and other technology companies operating in the AWS ecosystem.

What are the top three mega-trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub-disciplines of observability, and real-time machine learning. During our conversation with Kevin Petrie, Vice President of Research at Eckerson Group, we’ll tackle: Ready to learn more about managing the modern-day mountains of data at our fingertips? Let’s dive in.