This month, we focus on Really Big Data with a peek at a Hadoop-based project that matches connections in social media by leveraging the highly scalable lambda architecture, a discussion on how focusing on the details is the most important part of a successful Big Data project, an overview of Storm, and much more!
Table of Contents:
- Understanding What Big Data Can Deliver
By Aaron Kimball
It's easy to err by pushing data to fit a projected model. Insights come, however, from accepting the data's ability to depict what is going on, without imposing an a priori bias.
- Do All Roads Lead Back to SQL?
By Seth Proctor
After distancing themselves from SQL, NoSQL products are moving towards transactional models as "NewSQL" gains popularity. What happened?
- Applying the Big Data Lambda Architecture
By Michael Hausenblas
A look inside a Hadoop-based project that matches connections in social media by leveraging the highly scalable lambda architecture.
- From the Vault: Easy Real-Time Big Data Analysis Using Storm
By Shruthi Kumar and Siddharth Patankar
If you're looking to handle big data and don't want to traverse the Hadoop universe, you might well find that using Storm is a simple and elegant solution.
- News Briefs
By Adrian Bridgwater
Recent news on tools, platforms, frameworks, and the state of the software development world.
- Open-Source Dashboard
A compilation of trending open-source projects.
This PDF is best viewed with Adobe Acrobat version 5.0 or later.
This digital issue is sponsored by: