A data lake is a centralized repository for both structured and unstructured data. The data lake is becoming a popular way to store and analyze large volumes of data in a centralized repository. It stores data as is, using open source file formats to enable direct analytics. As data can be stored as is in its current format, you don't need to convert data into a predefined schema, which increases the speed of data ingestion. As illustrated in the following diagram, the data lake is a single source of truth for all data in your organization:
Object store for data lake
The following are the benefits of a data lake:
- Data ingestion from various sources: Data lakes let you store and analyze data from various sources such as relational and non-relational databases, and streams in one centralized location for a single source of truth. This answers questions such as why is the data distributed in many locations? and where is the single source of truth?
- Collecting and efficiently...
