Deep Lake, a Lakehouse for Deep Learning: Abstract and Intro

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Deep Lake, a Lakehouse for Deep Learning: Abstract and Intro
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Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Authors: Sasun Hambardzumyan, Activeloop, Mountain View, CA, USA; Abhinav Tuli, Activeloop, Mountain View, CA, USA; Levon Ghukasyan, Activeloop, Mountain View, CA, USA; Fariz Rahman, Activeloop, Mountain View, CA, USA;.

Deep Lake, Deep Learning, Data Lake, Lakehouse, Cloud Computing, Distributed Systems 1. data lake is a central repository that allows organizations to store structured, unstructured, and semi-structured data in one place. Data lakes provide a better way to manage, govern, and analyze data. In addition, they provide a way to break data silos and gain insights previously hidden in disparate data sources. First-generation data lakes traditionally collected data into distributed storage systems such as HDFS or AWS S3 .

Deep Lake, Deep Learning, Data Lake, Lakehouse, Cloud Computing, Distributed Systems 1. data lake is a central repository that allows organizations to store structured, unstructured, and semi-structured data in one place. Data lakes provide a better way to manage, govern, and analyze data. In addition, they provide a way to break data silos and gain insights previously hidden in disparate data sources. First-generation data lakes traditionally collected data into distributed storage systems such as HDFS or AWS S3 .

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