An architect's guide: How to use big data

Last updated:August 2014

Editor's note

Employees in organizations of all sizes can be faced with the daunting task of figuring out how to use big data and how to best manage it. Some IT professionals are tasked to use technology such as graph databases to crunch large volumes of data. Other developers need to be able to use tools like Hadoop to build systems capable of handling varying flows of data.

This guide brings together a range of stories that highlight examples of how to use big data, management techniques, trends with the technology, and key terms developers need to know.

1Popular tools for working with big data

It's difficult to discuss how to use big data and managing large volumes of data without discussing Hadoop, a Java-based framework. Megacorporations like Google and IBM have capitalized on the technology, but that doesn't mean smaller companies don't stand to benefit from it as well.

Read on for technical advice about working with Hadoop.

2Benefit from harnessing big data

Long gone are the days of marketers scratching their heads to determine ways to use big data to their advantage. Organizations of all sizes are learning the benefits of being able to analyze big data and turn that information into a powerful resource to reach consumers. With this movement comes the need for IT professionals to know how to build systems able to wrangle large volumes of data.

The following is a collection of articles that highlight the basics of using big data in marketing.

3Make visual representations with big data

Implementing graph databases is one example of the ways organizations have learned to make meaningful use of big data. While the technology has its roots in social media, there are practical uses for graph databases that extend beyond Facebook. From dating sites to online retailers, the use cases are extensive.

Read on to learn more about big data and graph databases.

4Common big data terms

This glossary provides common terms related to big data.