Asked by: Leonardo Paeper
technology and computing data storage and warehousing

Is Hdfs a data lake?

Last Updated: 18th May, 2020

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A data lake is an architecture, while Hadoop is a component of that architecture. For example, in addition to Hadoop, your data lake can include cloud object stores like Amazon S3 or Microsoft Azure Data Lake Store (ADLS) for economical storage of large files.

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Hereof, is Elasticsearch a data lake?

A data lake is simply a place to park your data until you need it, and it could encompass HDFS (most common), object storage, NAS boxes, or anything else. Fundamentally, Elasticsearch is a tool for indexing data, not for the storage of data itself.

Secondly, is Hdfs a data warehouse? Hadoop is not an IDW. Hadoop is not a database. A data warehouse is usually implemented in a single RDBMS which acts as a centre store, whereas Hadoop and HDFS span across multiple machines to handle large volumes of data that does not fit into the memory.

Also, why is it called a data lake?

Etymology. Pentaho CTO James Dixon is credited with coining the term "data lake". As he described it in his blog entry, "If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state.

What is the difference between a data warehouse and a data lake?

Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose.

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