Data integration vs. data ingestion: What are the differences?

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Data integration and data ingestion are two IT disciplines that are often confused with one another. Here’s how they differ and the challenges you may encounter. By Aminu Abdullahi.

Data integration combines data from different sources and transforms it into a unified view for easier access and analysis

Further in the article:

  • What is data integration?
  • ​​What is data ingestion?
  • Common challenges of data integration and ingestion
  • Data integration and ingestion tools

With the increasing amount of data being produced, businesses need better ways to handle and use the information they collect. Data integration and data ingestion are essential components of a successful data strategy and help organizations make the most of their data assets. Good read!

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Tags big-data cio data-science machine-learning