Components of a data lake
The concept of a data lake can vary in meaning to different individuals. As previously mentioned, a data lake can consist of various components, including both structured and unstructured data, raw and transformed data, and a mix of different data types and sources. As a result, there is no one-size-fits-all approach to creating a data lake. The process of constructing a clean and secure data lake can be time-consuming and may take several months to complete, as there are numerous steps involved in the process. Let’s take a look at the components that need to be used when building a data lake:
- Data ingestion: The process of collecting and importing data into the data lake from various sources such as databases, logs, APIs, and IoT devices. For example, a data lake may ingest data from a relational database, log files from web servers, and real-time data from IoT devices.
- Data storage: The component that stores the raw data in its original...