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  1. en.wikipedia.org › wiki › Data_lakeData lake - Wikipedia

    A data lake is usually a single store of data including raw copies of source system data, sensor data, social data etc., [2] and transformed data used for tasks such as reporting, visualization, advanced analytics, and machine learning.

  2. A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. Learn how data lakes can help you run different types of analytics, compare data lakes and data warehouses, and deploy data lakes in the cloud with AWS.

  3. A data lake is a centralized repository designed to store, process, and secure large amounts of structured, semistructured, and unstructured data. It can store data in its...

  4. What is a data lake? A data lake is a type of repository that stores data in its natural (or raw) format. Also called “data pools,” data lakes are a feature of object storage, a cloud-based storage system designed to handle large amounts of structured and unstructured data.

  5. 6 lip 2020 · Data lake to (centralne) repozytorium, które przechowuje ustrukturyzowane i nieustrukturyzowane dane w dowolnej skali. Bezpośrednio na tych danych uruchamiasz różne ro.

  6. What is a data lake? Originally coined by the former CTO of Pentaho, a data lake is a low-cost storage environment, which typically houses petabytes of raw data. Unlike a data warehouse, a data lake can store both structured and unstructured data, and it does not require a defined schema to store data, a characteristic known as “schema-on-read.”

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