When it comes to leveraging existing Hadoop infrastructure to extend what is possible with large volumes of data and various applications, Yahoo is in a unique position–it has the data and just as important, it has the long history with Hadoop, MapReduce and other key tools in the open source big data stack close at hand and manned with seasoned experts. …
Time and again, commercial Hadoop distributor MapR Technologies has demonstrated the value of the MapR-FS file system that underpins its Hadoop stack and differentiates it, more than any other feature, from the other Hadoop platforms with which it competes. …
It’s funny how Hadoop continues to crop up as the prime example of an open source platform that finds an early niche as an experiment in enterprise IT shops then suddenly explodes into its own vibrant ecosystem. …
Every evolution in computing hardware brings with it big challenges for software developers. …
The Spark in-memory processing framework that came out of the AMPLab at the University of California at Berkeley is hotter than hot. …
It is probably a good thing that Doug Cutting, the creator of Hadoop, named the batch-mode data analytics product he created at Yahoo after his child’s stuffed animal rather than something specific like MapReduce Engine. …
This is not the first time that Big Blue has found itself the underdog in the datacenter, and it probably will not be the last time, either. …
Here’s an image for you. There is no such thing as a data lake. …
When, at some point in the distant future, we look back to the pioneering days of the golden age of data wrangling, a number of words that sound rather ridiculous without context, like Hadoop or Mesos, will filter into the conversation. …
Although Spark has garnered a reputation as being a real-time analytics engine that is married to Hadoop, its life before being glued to that framework offers a different story. …
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