Definition
Data ingestion and transformation is the process of moving raw data from various sources into a system and then refining it into a usable format for analysis or storage. This involves extracting data, cleaning it to remove errors or inconsistencies, and restructuring it to fit the requirements of the target environment. This capability is crucial for making sense of large datasets, enabling informed decision making and powering applications. For instance, a retail company might ingest sales data from point-of-sale systems and online stores, then transform it to aggregate daily totals by product category. This differs from simple data transfer, as it includes significant modification and preparation steps. Understanding this process is fundamental for roles involved in data management and analytics, appearing in domains like data warehousing and business intelligence on exams such as the AWS Certified Data Analytics Specialty.