The 10 Year Problem

10 years seems like an eternity ago when it comes to data management technology. 10 years ago (2009) Hadoop hadn’t even really gone mainstream yet, and AWS S3 had only been around for 3 years.

Just for a moment, imagine that you have to maintain a data integration environment for over 10 years. How would you deal with the changing landscape of data? How would you deal with the whims of tooling that both business and technical stakeholders try to deploy? Maintaining a data integration landscape for 10 days is enough, let alone 10 years.

One of the biggest problems in maintaining a data integration environment is the maintenance of logic. Having logic scattered ... subscribe to read more

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