Data ingestion

Knowledge Base

Data ingestion - Glossary

Imagine a buffet where guests can sample a variety of dishes—this is akin to data ingestion in the tech world. Data ingestion is the process of collecting importing and processing data from various sources to be stored in a data warehouse or database. Think about popular streaming services that gather data from viewer habits preferences and ratings. This data doesn’t just magically appear in one spot; it is collected from multiple devices and locations—TVs smartphones computers—and unified into a central system. In doing so businesses can effectively make sense of vast amounts of information allowing them to tailor recommendations and improve user experience. Just like the buffet where the chef selects the ingredients and presents them beautifully for diners to enjoy data ingestion involves selecting the right data and presenting it in a structured way for meaningful insights. The efficiency and comprehensiveness of this process become the backbone of informed decision-making in modern businesses.
What is data ingestion in simple terms?
Why is data ingestion important for businesses?
How does data ingestion benefit streaming services?
What are common challenges faced in data ingestion?