For example, some algorithms need multiple iterations, intermediate results, or communication between nodes, which are not supported by the basic MapReduce model.

In this short course offered by Udacity, I learnt the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world! Every assignment folder has a 'testfile' that ...

Students will learn the fundamentals of MapReduce, Spark framework, NoSQL databases, PySpark, and Amazon Athena. The class will focus on the storage, processing, and analysis aspects of big data.

The codes provided here are written in Python, so if you are new to Python, I suggest you to look up the syntax. MapReduce can be written with Java, but for the purpose of simplicity and readability, ...

The MapReduce and MPP worlds have been pretty separate, but are now starting to collide. And that’s a good thing. To many, Big Data goes hand-in-hand with Hadoop + MapReduce.

Unfortunately, a cloud's scale comes at a price. For example, Amazon cloud not only relies on horizontal scaling, but it also adopts a weaker consistency model called eventual consistency. We describe ...

Unfortunately, a cloud's scale comes at a price. For example, Amazon cloud not only relies on horizontal scaling, but it also adopts a weaker consistency model called eventual consistency. We describe ...