Data integration is a set of procedures for retrieving and combining data from many sources to create useful information. A comprehensive data integration solution provides reliable data from various sources. The ETL (extract, transform, and load) procedure was used to ingest and clean data before loading it into a data warehouse in traditional data integration methodologies. Any Big Data project must include a stage called Big Data Integration. However, there are a few things to consider. In comparison to a standard relational database, the components of the big data platform manage data in novel ways. Because both organized and unstructured data require scalability and excellent performance.