Getting Started with Big Data

Mike Gualtieri, Principal Analyst with Forrester Research joined us for a webinar titled Productionizing Hadoop: Seven Architectural Best Practices. Following the webinar, Mike answered a number of questions from participants including one about how to get started with Big Data.

Q: Where do you recommend we start with Big Data?

MG: Companies generate more data on a daily basis than ever before, and there's a lot of untapped business value in that big data. In order to gain a competitive edge, you need to figure out how to analyze this influx of "big data" to glean useful insights. With the right tools to gather and analyze your mountain of data, you can identify actionable business opportunities.

But how do you get started? And how can you capture and store data in way that won't break the bank? Ask yourself the following questions:

  1. What kind of data am I currently generating?
  2. What kind of advantages would I gain from analyzing my data in real time?
  3. How can I best use this data and incorporate it into our business practices?

Using a tool like Apache Hadoop enables organizations to cost-effectively store all their unstructured data. Do you have new types of unstructured or semi-structured data that isn't being captured and analyzed? That's a powerful use case for using Hadoop.

Another key starting point for using Hadoop is the need to consolidate your data and break down your silos. With Hadoop, you can gather all of your information from multiple sources into one spot, giving you the ability to do some powerful analysis that wasn't possible before.
Click here to watch the webinar "Productionizing Hadoop: Seven Architectural Best Practices."

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