At the height of the Hadoop era there were countless storage and analytics startups based on the Hadoop Distributed File System (HDFS), several of which were backed by venture capital firm Andreessen Horowitz, which was committed to the Hadoop and open source-driven big data startup cause when that was all the rage in 2010 until around 2014 or so. …
One of the most common misconceptions about machine learning is that success is solely due to its dynamic algorithms. …
Today’s episode of “The Interview” with The Next Platform is focused on the evolution of stream processing—from the early days to more recent times with vast volumes of social, financial, and other data challenging data analysts and systems designers alike. …
The enormous amount of data being generated will do companies little good if they can’t more easily gather it from multiple sources, store it, analyze it and gain important insights into it that will help them drive better business decisions. …
Organizations are turning to artificial intelligence and deep learning in hopes of being able to more quickly make the right business decisions, to remake their business models and become more efficient, and to improve the experience of their customers. …
Data analytics is a rapidly evolving field, and IBM and other vendors over the past several years have built numerous tools to address segments of it. …
It would be surprising to find a Hadoop shop that builds a cluster based on the high-end 68+ core Intel Knights Landing processors—not just because of the sheer horsepower (read as “expense”) for workloads that are more data-intensive versus compute-heavy, but also because of a mismatch between software and file system elements. …
Just five years ago, the infrastructure space was awash in stories about the capabilities cooked into the Hadoop platform—something that was, even then, only a few pieces of code cobbled onto the core HDFS distributed storage with MapReduce serving as the processing engine for analytics at scale. …
Five years ago, many bleeding edge IT shops had either implemented a Hadoop cluster for production use or at least had a cluster set aside to explore the mysteries of MapReduce and the HDFS storage system. …
Containers continue to gain momentum as organizations look for greater efficiencies and lower costs to run distributed applications in their increasingly virtualized datacenters as well as for improving their application development environments. …
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