Characteristics of Data Lake
A data lake is a storage repository that holds a vast amount of raw data in its native format until it is related and refined elsewhere. Data lake shares a data environment that comprises multiple repositories and capitalizes on big data technologies. It provides data to an organization for a variety of analytics processes.
A data lake is a storage repository that holds an enormous amount of raw or redefined data in native format until it is accessed. The term data lake is usually associated with Hadoop-oriented object storage in which an organization’s data is loaded into the Hadoop platform. Then business analytics and data-mining tools are applied to the data where it resides on the Hadoop cluster.
Characteristics of Data Lake:
1. All data is loaded from source systems, and no data is turned away.
2. Data is stored at the leaf level in an untransformed or nearly untransformed state.
3. Data is transformed and a scheme is applied to fulfill the needs of analysis.