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Avoiding the most common mistakes with Hadoop
It’s no secret that Hadoop comes with inherent challenges. Business needs, specialized skills, data integration, and budget are just a few things that factor into planning and implementation. With the goal of helping organizations achieve business value from Hadoop, Pentaho, has identified the most common mistakes made by executives and IT teams as they go through the planning and implementation process, and most importantly, how to avoid them.
Mistake #1: Migrate everything before devising a plan…
Let’s say that you’ve determined that your current architecture is not equipped to process big data effectively, management is open to adopting Hadoop, and you’re excited to get started. Don’t just dive in without a plan. Migrating everything without a clear strategy will only create long-term issues resulting in expensive ongoing maintenance.