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  1. Data lake - Wikipedia

    A data lake is a system or repository of data stored in its natural/raw format, [1] usually object blobs or files.

  2. What is a Data Lake? Data Lake vs. Warehouse | Microsoft Azure

    A data lake is a centralized repository that ingests, stores, and allows for processing of large volumes of data in its original form.

  3. What is a Data Lake? - Introduction to Data Lakes and Analytics - AWS

    A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale.

  4. Introduction to Data Lakes - Databricks

    What is a data lake? A data lake is a central location that holds a large amount of data in its native, raw format.

  5. What Is a Data Lake? Definition, Architecture, and Use Cases

    Apr 28, 2025 · Learn what a data lake is, how it works, its architecture, use cases, benefits, challenges, and top technologies to build scalable, flexible data platforms.

  6. What is a Data Lake? - Database.Guide

    1 day ago · A data lake is a centralized storage system that holds large amounts of raw data in its original format until it’s needed. Unlike a data warehouse (which stores data in a structured, …

  7. Data Lake - GeeksforGeeks

    Feb 20, 2026 · A Data Lake is a centralized storage system that stores structured, semi-structured, and unstructured data in its raw format for flexible analysis.

  8. What Is a Data Lake? | Definition, Types, Benefits, Comparisons | SAP

    Jan 26, 2026 · A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its native format for analytics, AI, and machine learning.

  9. What is a Data Lake? - Google Cloud

    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 native format and...

  10. What is a data lake? - IBM

    Nov 12, 2025 · What is a data lake? A data lake is a repository designed to store large volumes of raw data, typically using low-cost cloud object storage. This approach allows the ingestion and storage of …