Data Lakes

Data Lakes are centralized repositories that allow storage of structured, semi-structured, and unstructured data at any scale. They are designed to store raw, unprocessed data in its native format until it is needed. Data Lakes are used to store data from various sources such as social media, IoT devices, and enterprise applications. They provide a cost-effective solution for storing large amounts of data and enable organizations to perform advanced analytics and machine learning on the data. Data Lakes are built on distributed systems such as Hadoop and are scalable, fault-tolerant, and highly available. They also support various data processing frameworks such as Spark, Hive, and Pig.
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