Data Lakes

Why a Data Lakehouse alone is not the answer to modern analytics

Can the Lakehouse meet all your analytics needs or do you need a Data Lake and a Data Warehouse working in parallel? Join us on this live stream to learn when one works better than the other, or, do you really need the combination to win? Our speakers David, Justin, and Chris will debate the different use cases and architectures to determine what is necessary for a data-driven business.

Data lake vs. data mesh: Which one is right for you?

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization?

The Data Chief Live: Beyond the Buzz in Data Mesh, Lakehouse, Data Warehouse

Join The Data Chief Live on October 7 to go beyond the buzz on all things data mesh, lakehouse, and data warehouse. Gain clarity on what is hype, what is real, and how others are delivering business value faster with modern data platforms and processes. You'll hear live from Darren Pedroza, VP Enterprise Data and Analytics, First Command Financial Services, Inc., Zhamak Dehghani, Director of Emerging Technologies at Thoughtworks & author of The Data Mesh, Chris D'Agostino, Global Field CTO Databricks & me.

Data Lakes Are Gaining Maturity, According to 2021 Gartner Hype Cycle for Data Management

IT leaders’ experiences with data lakes have been a roller coaster ride since their inception in 2010. To some, that roller coaster ride might resemble the canonical Hype Cycle graphic, trademarked by Gartner to show the maturity curve of technologies in a given category over time. This year’s Hype Cycle for Data Management report was just released, revealing that modern data lakes are poised to exit the Trough of Disillusionment and enter the Slope of Enlightenment in 2022.

Think you need a data lakehouse?

In our Data Lake vs Data Warehouse blog, we explored the differences between two of the leading data management solutions for enterprises over the last decade. We highlighted the key capabilities of data lakes and data warehouses with real examples of enterprises using both solutions to support data analytics use cases in their daily operations.