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Five Pitfalls That Can Derail Your Big Data Project

  • Five Pitfalls That Can Derail Your Big Data Project-

    Sandboxes are fine for proof of concepts, but when Big Data projects go live, they need to be an integral part of the overall IT infrastructure and information architecture. You need to connect Big Data applications to other systems, upstream and downstream. Big Data must also become part of your IT and information governance policy.

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Five Pitfalls That Can Derail Your Big Data Project

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • Five Pitfalls That Can Derail Your Big Data Project-6

    Sandboxes are fine for proof of concepts, but when Big Data projects go live, they need to be an integral part of the overall IT infrastructure and information architecture. You need to connect Big Data applications to other systems, upstream and downstream. Big Data must also become part of your IT and information governance policy.

Most organizations are still in the early stages of Big Data adoption, and few have thought beyond the technology angle of how Big Data will profoundly impact their processes and their information architecture. Whether Big Data projects are past the pilot stage and being deployed in production, or still on the horizon, they require strategic thinking and adequate planning to avoid some now-typical pitfalls that tend to get in the way of success for big data projects.

Talend recently identified five key areas companies should monitor to avoid pitfalls that can derail big data projects, and ensure those projects generate value as they move past the early pilot stages.