Real-Time Big Data Analytics: Emerging Architecture

Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get

the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.

Table of Contents

1. Introduction
2. How Fast Is Fast?
3. How Real Is Real Time?
4. The RTBDA Stack
5. The Five Phases of Real Time
6. How Big Is Big?
7. Part of a Larger Trend