This is a collaborative post between Databricks and WiseWithData. We thank Founder and President Ian J. Ghent, Head of Pre-Sales Solutions R &D Bryan Chuinkam, and Head of Migration Solutions R&D Ban (Mike) Sun of WiseWithData for their contributions.
Technology has come a long way since the days of SAS®-driven data and analytics workloads. The lakehouse architecture is enabling data teams to process all types of data (structured, semi-structured and unstructured) for different use cases (data science, machine learning, real-time analytics, or classic business intelligence and data warehousing) all from a single copy of data….
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