What is Data Lake?
A data lake is a central data repository that contains large volumes of native organized, semi-structured, and unstructured data. In organizations, this data is utilized for further processing such as visualization, sophisticated analytics, and machine learning. In a data lake, data is often ingested extremely quickly and processed later as needed by consumers.
The focus of a data lake is on flexible format storage for future use, with no constraints on file formats or set storage. The data lake architecture is flat and incorporates metadata tags and IDs for quicker data retrieval in a data lake.
By processing massive amounts of data, data lakes improve company scalability.
What are the business benefits of Data Lake?
Data lake enhances scalability in business by handling an enormous amount of data.
Data lakes improve the decision-making capability of structured and unstructured data.
Data lakes maximize rapid data ingestion by utilizing enormous amounts of unstructured data.