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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.

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.

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.

Data Lakehouses: Have You Built Yours?

In traditional data warehouses, specific types of data are stored using a predefined database structure. Due to this “schema on write” approach, prior to all data sources being consolidated into one warehouse, there needs to be a significant transformation effort. From there, data lakes emerge!

How Enterprise Data Lakes Help Expose Data's True Value

For all of the buzz surrounding both artificial intelligence and data-driven management, many companies have seen mixed results in their quest to harness the value of enterprise data. To avoid those pitfalls, we mixed best-of-breed and proprietary solutions to develop our enterprise data platform (EDP), focusing much of our attention on a combination of smart changes in technology, culture and process for data lakes.