Enterprises are increasingly turning to Hadoop to get business value from their data. Over the years, we’ve seen the use of Hadoop evolve from a simple data repository and into an engine that fuels smart, data-driven decision-making.

While more and more organizations are becoming increasingly sophisticated as their use of Hadoop matures, it’s hard to ignore that implementing and scaling Hadoop is enormously complicated. Unforeseen challenges can quickly arise as Hadoop projects grow. Solving these challenges can help organizations derive even greater value from their data, possibly leading to new markets and customers.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access