Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world
Pickl AI
NOVEMBER 15, 2023
This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights. Data Types: IoT sensor data (temperature, pressure, etc.)
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