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2017 State of Technology Training

2017 State of Technology Training

Pluralsight recently completed an in-depth survey of 300 enterprises...

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

with Srivats Ramaswami, 42Q
In this interview, Srivats Ramaswami,...

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

with Sander Barens, Expereo
In this interview, Sander Barens...

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

with Shawn Moore, Solodev
In this interview, Shawn Moore,...

Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

Find out what’s really going on in your business...

What is Big Data Analytics and Hadoop and How ActiveMQ Plays an Important Role

November 2, 2012 No Comments

Speaker: Douglas Moore, Principal Consultant and Architect, Think Big Analytics

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Big data analytics is finding value in the massive quantities of structured and unstructured data being collected by enterprises today. Hadoop and NoSQL are technologies that are unlocking the value in the ocean of data being generated, collected and made available. A critical component of a successful Hadoop & NoSQL deployment is the integration into the existing corporate ecosystem. Tools like ActiveMQ become a vital link to flowing of terabytes to petabytes of data being processed by Hadoop based analytic models. In this session, we’ll talk about Big Data, Hadoop, MapReduce are and describe actual Hadoop and Active MQ use cases.

Douglas Moore is a Principal Consultant and Architect at Think Big Analytics. For the past 24 years he has designed, architected, built and delivered parallel processing applications. He has worked extensively with relational, dimensional, NoSQL and Hadoop based data processing systems.

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DATA and ANALYTICS , Featured Webinars, OPEN SOURCE

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