Big Data Bootcamp by David Feinleib

Author:David Feinleib
Language: eng
Format: epub
Publisher: Apress, Berkeley, CA

One or more sources of data

The right technologies, for storage, computing, and visualization

A compelling way to present insights to your users

An engineering team that can work with large-scale data

Defining the Business Need

In my work with clients, I often find that companies start with Big Data technology rather than first identifying their business needs. As a result they spend months or even years building technology for technology’s sake rather than solving a specific business problem.

One way to address this common pitfall is to get business users and technologists together very early in the process. Quite often these individuals are in silos; by breaking down those silos and getting them together sooner than later, you are far more likely to solve a well-defined business need.

For entrepreneurs—those working independently and those working in larger organizations—Big Data presents some amazing new opportunities. You can focus on a specific vertical such as healthcare, education, transportation, or finance, or you can build a general-purpose analytics application that makes Big Data more accessible. Uber is one example of a company that is using Big Data and mobile to disrupt the transportation and logistics markets. Meanwhile, Platfora is a new cloud-based visualization application. With ever-increasing interest in Big Data, the timing could not be better for building your own compelling application.

Tip

Now is the time to build your own Big Data Application. For one thing, you’ll learn a lot. For another, you can bet that your top competitors are hard at work building applications of their own.

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