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Big Data Sponsored

Building the highway for big data

Image Credit: Shutterstock June 3, 2014 4:00 AM

This sponsored post is produced by Ron Kasabian, Intel Corporation, and Charles Zedlewski, Cloudera.

Your data is trying to go places, and when it does, it will uncover operating efficiencies and new revenue streams that will reinvent business models. But right now, it’s stuck in a data traffic jam that’s keeping it from reaching its final destination.

Whether it’s buried somewhere in an enterprise data warehouse silo or a prototype Hadoop deployment, data offers the chance to provide exciting new insight. But it can’t do that until the analytics infrastructure is better equipped to bridge the gap between data and compute. The problem with today’s analytics platforms is that they rely heavily on technology that either puts data in silos or struggles to bring all the data to the computational platforms.

The market abounds with piecemeal platforms, and each product only solves certain problems. It used to be a simple equation: A faster processor will crunch the data in less time, or an open-source software solution will provide more options for customization.

But now, the equation doesn’t add up without both. Apache Hadoop software alone does not harness the power of the hardware platform required for deep analysis, while hardware alone cannot determine patterns and trends gleaned from disparate data. It’s time to bring together Hadoop software with advanced hardware to create a unified platform — an effort that Intel and Cloudera are spearheading through our recently announced partnership.

In essence, we’re revamping the two-lane road that big data and analytics currently travel along into a full-blown, eight-lane freeway, one that allows more traffic to travel faster, generating more meaningful connections between the places data resides. The next step in the evolution of data analytics is to build a system that has major thoroughfares connected to a central data hub. Those main arteries will also have smaller, “rural” routes with spokes from the hub to the edges. While there is some centralization in this model, there is also a distributed network to ensure that all roads are open and data is moving freely.

What’s the benefit of all of this restructuring? Deeper and more far-reaching insight delivered on-demand.

As an example, let’s look at the huge task of creating truly personalized health care. The health of an individual depends on three kinds of data: genetic makeup; individual behaviors such as exercise and diet; and relationships, e.g. transmission of disease through proximity. To build a personalized health care solution, you would need to converge these data sets and then join them with clinical trial data to identify effective methods of treatment. This is an enormous amount of data to analyze, but it offers the promise of better diagnosis, treatment, and cure.

But in order to analyze all of this data, you need both powerful processors capable of analyzing genomic data and fine-tuned software capable of finding correlations between a patient’s individual health markers and more general data aggregated from the populace at large. In this example, reaching the destination of a personalized solution is only possible through the infrastructure of joint hardware and software solutions — the equivalent of choosing the new eight-lane freeway that was built to get you where you’re going faster rather than the old two-lane road that has been around for decades.

The collaboration between Intel and Cloudera will create the necessary infrastructure for this new data freeway. Like highways that connect cities, towns, and villages, the Cloudera Enterprise Data Hub optimized on Intel architecture connects the enterprise to the far-flung spokes of its data. This is how we intend to empower the intelligent enterprise.
Ron Kasabian Headshot

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