Data Ingestion
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What is Data Ingestion?
Data ingestion is the third step in the data engineering lifecycle. It entails the process of collecting and importing data files from various sources into a database for storage, processing and analysis. The goal of data ingestion is to clean and store data in an accessible and consistent central repository to prepare it for use within the organization.
Free resources to learn Data Ingestion
- ArticleWhat is Data Ingestion?
- ArticleData Ingestion
More in stage 5: Data Engineering Lifecycle
Data Ingestion: common questions
Can I learn Data Ingestion in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Data Ingestion in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Data Ingestion tutorial for beginners?
It is lesson 17 of 186 in the free Data Engineer roadmap, in stage 5, Data Engineering Lifecycle. If you are new to Data Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.