Big Data Hadoop
The Big Data Hadoop training in Grid R&D is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Sp In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab.
Big data is a collection of large datasets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, technqiues and frameworks. Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important.It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
Hadoop is an open source, Java based framework used for storing and processing big data. Its distributed file system enables concurrent processing and fault tolerance. Hadoop uses the MapReduce programming model for faster storage and retrieval of data from its nodes. The framework is managed by Apache Software Foundation and is licensed under the Apache License 2.0. For years, while the processing power of application servers has been increasing manifold, databases have lagged behind due to their limited capacity and speed. However, today, as many applications are generating big data to be processed, Hadoop plays a significant role in providing a much-needed makeover to the database world.