This is one that slipped under my radar when it happened – back in August. Christian Prokopp, a Principal Consultant here at Big Data Partnership, was in Bangladesh on holiday, and he took the opportunity to hook up with some local Big Data activists. He quickly found a host of local enthusiasts: academics, entrepreneurs, data scientists and just…
Category Archive for: Hadoop Ecosystem
I spend most of my life – not just the working day – explaining, cajoling and describing how the new evolution of data management is in fact a revolution. It’s a revolution where everybody is going to be affected, in many areas of their working and home lives. Part of that time I spend on…
Here are the slides from a presentation delivered by Big Data Partnership (@BigDataExperts). This masterclass on Hadoop is an hour-long version of the one-day course run by Big Data Partnership (http://dunuah571ylv3.cloudfront.net/wp-content/uploads/2013/11/Hadoop-Masterclass.pdf). “This one-day course is designed to help both IT professionals and decision-makers understand the concepts and benefits of Apache Hadoop and how it can…
With the increasing popularity and the addiction of companies towards Hadoop, also Hadoop being an unanimous solution for Big data platforms makes the Hadoop development team to focus on the current architectural deficiencies and make Hadoop free from such underlying architectural issues. In that path a new Hadoop MapReduce version has taken birth MapReduce 2.0…
Joins:- ======= Joins is one of the interesting features available in MapReduce. Joins performed by Mapper are called as Map-side Joins. Joins performed by Reducer can be treated as Reduce-side joins. Frameworks like Pig, Hive, or Cascading has support for performing joins. Before diving into the implementation let us understand the problem throughly. If we…
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