The SQL Lakehouse: What It Is, Why You Might Need It, and How to Evaluate it
The SQL lakehouse seeks to combine the best of the data warehouse with the best of the data lake. By layering SQL structures onto cloud-native object storage, this emerging paradigm can optimize business intelligence workloads and easily scale their consumption of elastic infrastructure. Enterprises can improve performance, gain flexibility, and create new analytics insights.
That’s the vision. Is it achievable? Enterprises must carefully evaluate the SQL lakehouse against alternative data platforms such as cloud data lakes and cloud-native data warehouses. Can it meet their latency and throughput requirements? Will it reduce work for their overburdened data engineers? Does it support data portability with open APIs, data formats, and source code? Perhaps most importantly, can enterprise teams govern data consumption on the SQL lakehouse?
Join this webinar with Eckerson Group and Dremio to better understand your options for cloud analytics platforms.
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