sponsored by IBM
Posted:  22 Feb 2012
Published:  22 Feb 2012
Format:  PDF
Length:  166  Page(s)
Type:  eBook
Language:  English

This comprehensive white paper delves into the world of big data technologies, such as Hadoop, and how to extend it into an enterprise-ready big data platform.

The white paper is divided into two parts: Part 1 focuses on the who, what, when, where and why of everything big data, and is split up into three chapters. One chapter outlines the three defining characteristics of big data, the second details some of the common problems and deployment patterns seen in big data technologies, while the third talks about IBM's big data platform and what it can offer you.

The second part of this insightful resource dives into big data from a technology perspective, starting out by offering up the basics of big data open-source technologies. The next chapter then discusses the two key areas that IBM splits big data into: big data in motion and big data at rest. The final chapter touches on big data analytics, serving up real-world examples and how they are using streams to achieve better business outcomes, make more accurate predictions and gain a competitive advantage.

Data Analytics | Data Integration | Data Management | Data Mining | Data Quality | Information Management | Open Source | Open Source BI | Predictive Analytics

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