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A data lake is a centralized repository that stores and processes large volumes of data in its original form. Learn how data lakes differ from data warehouses and data lakehouses, and how Azure can help you build a scalable data platform.
- Co to jest magazyn typu data lake? - azure.microsoft.com
Magazyn typu data lake to scentralizowane repozytorium,...
- Co to jest magazyn typu data lake? - azure.microsoft.com
A data lake is a system or repository of data stored in its natural/raw format, usually object blobs or files. It can include structured, semi-structured, unstructured, and binary data, and can be on premises or in the cloud. Learn about its background, benefits, challenges, and data lakehouses.
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 differ from data warehouses, what are the essential elements of a data lake and analytics solution, and how AWS can support your data lake requirements.
A data lake is a central location that holds raw data in its native format, enabling data analytics, business intelligence and machine learning. Learn how data lakes differ from data warehouses and data lakehouses, and how Delta Lake can solve the challenges of data lakes.
Magazyn typu data lake to scentralizowane repozytorium, które pozyskuje i przechowuje duże ilości danych w oryginalnej postaci. Dane mogą być następnie przetwarzane i używane jako podstawa dla różnych potrzeb analitycznych.
A data lake is a low-cost storage environment that can handle petabytes of raw data, both structured and unstructured, without a defined schema. Learn how data lakes differ from data warehouses and data lakehouses, and how they can support data discovery, machine learning, and data backup projects.
A data lake is a repository that stores data in its natural format, using object storage and metadata. Learn how data lakes differ from data warehouses, what they are used for, and what challenges they face.
