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Data Lake

A Data Lake is a central repository from various data sources where the emphasis is put on storing data rapidly and for a low cost, at the expense of a well defined structure.

A wide variety of data can be stored in data lakes such as structured data (like columns and rows in classical RDBMS), semi-structured data (CSV, XML and JSON files), and unstructured data (images, videos, emails, web pages…).

In a Data Lake, the data is stored in a raw format, untouched, making it flexible for later usage. Data Lakes are, in general, a solid basis for data preparation, reports, visualization, in-depth analysis, data science and "machine learning".

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Architecture of object-based storage and S3 standard specifications

Architecture of object-based storage and S3 standard specifications

Categories: Big Data, Data Governance | Tags: Database, API, Amazon S3, Big Data, Data Lake, Storage

Object storage has been growing in popularity among data storage architectures. Compared to file systems and block storage, object storage faces no limitations when handling petabytes of data. By…



Jun 20, 2022

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We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Science…

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.