Tech Republic – Hadoop success requires avoidance of past data mistakes

To reach its full potential, Hadoop implementations should avoid the data warehouse infrastructure mistakes of the past.

Twenty-one years ago, a year before the first web browser appeared, Walmart’s Teradata data warehouse exceeded a terabyte of data and kicked off a revolution in supply-chain analytics. Today Hadoop is doing the same for demand-chain analytics. The question is, will we just add more zeros to our storage capacity this time or will we learn from our data warehouse infrastructure mistakes?These mistakes include:

  • data silos,
  • organizational silos, and
  • confusing velocity with response time

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