5 Big Data Best Practices - And How To Optimize Your Architecture For Them

5 Big Data Best Practices - And How To Optimize Your Architecture For Them


Available On Demand
Duration 60min
Joe Masters Emison
Chief Technology Officer
Joe Masters Emison
Joe began his career by winning the 1996 Weird Software Contest with the Mutant Chicken Races and creating the first Windows-based iPod application. Over the past ten years, Joe transitioned from development to systems design and data analysis, creating the first BuildFax engines in 2003, the original architecture in 2007, and designing the Pragmatic Extract-Transform-and-Load (PETL) architecture that has made the current national footprint possible. In addition to running technology and product at BuildFax, Joe also regularly contributes articles to InformationWeek on the cloud and startups. Joe graduated with degrees in English and Mathematics from Williams College and has a law degree from Yale Law School.

The very traits that made conventional relational databases indispensable to enterprises now hinder scalability. At some point in the big data journey, most organizations will need to migrate to a distributed model. But spreading a database across multiple nodes is no easy feat.

In this InformationWeek webcast, we’ll give top signs that it’s time to bite the bullet and move to a distributed architecture. We’ll also arm you with tips and tricks to make the shift as painless and inexpensive as possible.

Join this webinar to:

  • Uncover the four major reasons why large organizations have chosen distributed databases over traditional relational databases;
  • Hear use cases in which you can distribute a relational database;
  • Understand Hadoop and where it fits—and where it doesn’t—in a distributed database strategy
  • Learn how to cut through much of the marketing hype around distributed databases.

Take your organization from relational databases to a distributed architecture with this webinar.

Bonus InformationWeek Report: All attendees will receive a complimentary InformationWeek report on Data Scatter.

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