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22nd September 2020, Tuesday
 
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Comparison Apache Flink Dremio
 Drawbacks -- Such Data Lakes have become data swamps due to lack of any naming conventions for files / folders. duplicate data spread everywhere
 Advantages -- Data Scientists need not spend time on ETL. ETL effort made zero
 Website -- https://www.dremio.com
 Brief description -- No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers.
 Operating System Supported -- Linux, Windows not supported
 Key Differentiator -- One of the Most popular Data Science Platform in the market
 Database Model -- Columnar data model. The power of the CPU cache is utilized on similar column data types