📂Data Lakes

Connect to your files and data from your data lakes

But first, what is a Data Lake?

A data lake is a centralized repository that stores large amounts of raw, unprocessed data in its native format. It is designed to hold vast volumes of structured, semi-structured, and unstructured data, without requiring a predefined schema or data model.

Unlike traditional data warehouses or relational databases that require data to be organized and structured before storage, a data lake allows data to be ingested and stored in its original form. This flexibility makes data lakes suitable for handling diverse data types, such as text documents, images, videos, log files, social media feeds, sensor data, and more.

Data lakes are typically built using scalable and distributed storage systems, such as Hadoop Distributed File System (HDFS), cloud storage services like Amazon S3 or Azure Data Lake Storage, or a combination of both. These storage systems provide the ability to store vast amounts of data in a cost-effective and scalable manner.

Data lakes and Grut

Store and manage large amounts of unstructured data files such as images, videos, and audio files in a secure and scalable environment. Our platform supports popular data lakes such as Amazon S3, Google Cloud Storage, and Microsoft Azure Data Lake Storage.

Connecting your first data lake