Data Governance comprises of metadata management and lineage tracking, Data Security and privacy, and Information Lifecycle Management components. These are common components that cut across the Data Intake, management, and consumption tiers of the Data Lake. In the following sections, let us explore these components in detail.
Big Data often relies on extracting value from huge volumes of unstructured data. The first thing we do after this data enters the Data Lake is classify it and "understand" it by extracting its metadata. Metadata is the fundamental building block, on which the success of any Data Governance endeavor depends.
Metadata captures vital information about the data as it enters the Data Lake and indexes this information while it is stored so that users can search for metadata before they access the data and perform any manipulation on it. Metadata capture is fundamental to make data more accessible and extract...