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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