
Databricks unveiled Lake Transactional/Analytical Processing, a new architecture that unifies operational and analytical workloads on a single copy of data in a data lake. The approach eliminates change data capture pipelines, ETL processes, and replicated databases. A real-time analytics engine delivers millisecond response times without separate serving infrastructure.
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Summary by ByteBrief
Megaladata cuts analytics pipeline time from 20 to 4 minutes