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Learn the Strategies for Change Data Capture

May 4, 2018

In an effort to modernize data architecture, many people are moving data from various sources into big data technologies like a Hadoop cluster. However, shortly after the data is moved, it’s not uncommon for more transactions to be captured in the source database. This means the data on the Hadoop cluster quickly becomes out-of-date.

Check out the eBook, Strategies for Change Data Capture, to learn:

  • How to keep Hadoop data in sync with changes made on the mainframe
  • The advantages and disadvantages of different CDC methods
  • Which strategies work best for your organization

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