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Posts Tagged:Hadoop

Big Data training is about bringing real-world experience into the classroom

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…

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Yarn

“Introducing YARN” – Hadoop No More a Baby Elephant

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…

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Map Side and Reduce Side Joins

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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Recommending from big data

As the research on core recommender systems progresses and matures, it becomes clear that a fundamental issue for these algorithms is to determine how to embed the core techniques in real operational systems and how to deal with massive and dynamic sets of data. Recommender system algorithms are very effective in identifying and predicting user preferences based on explicit or implicit indication of preference that…

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