Analyst Perspectives

It’s clear that now we are living in the era of big data. The stores of data on which modern businesses rely are already vast and increasing at an unprecedented pace. Organizations are capturing data at deeper levels of detail and keeping more history than they ever have before. Managing all of the data is thus emerging as one of the key challenges of the new decade.

If you enjoyed my previous blog, “Hadoop Is the Elephant in the Room,” perhaps you’d be interested in what your organization might do with Hadoop. As I mentioned, the Hadoop World event this week showcased some of the biggest and most mature Hadoop implementations, such as those of eBay, Facebook, Twitter and Yahoo. Those of you who need 8,500 processors and 16 petabytes of storage like eBay likely already know about Hadoop. But is Hadoop relevant to organizations with less data that is still a...

Earlier this week I attended Hadoop World in New York City. Hosted by Cloudera, the one-day event was by almost all accounts a smashing success. Attendance was approximately double that of last year. There were five tracks filled mostly with user presentations. According to Mike Olson, CEO of Cloudera, the conference’s tweet stream (#hw2010) was one of the top 10 trending topics of that morning. Cloudera did an admirable job of organizing the event for the Hadoop community rather than co-opting...

Managing large volumes of enterprise data continues to challenge IT organizations as they deal with administration and storage of no longer just terabytes but now petabytes of data and costs increase accordingly. This massive size of data complicates the underlying issues of where and how to store it easily in low-cost hardware and manage the data efficiently. One attempt at a solution is Hadoop, an open source community-based project. It began as part of Yahoo and was led by Doug Cutting, who...

Managing large volumes of enterprise data continues to challenge IT organizations as they deal with administration and storage of no longer just terabytes but now petabytes of data and costs increase accordingly. This massive size of data complicates the underlying issues of where and how to store it easily in low-cost hardware and manage the data efficiently. One attempt at a solution is Hadoop, an open source community-based project. It began as part of Yahoo and was led by Doug Cutting, who...