Hadoop Development training course gives awareness about the Hadoop framework which is the de facto platform for Big Data computation. Apache Hadoop is an open-source software framework that supports data-intensive distributed applications, licensed under the Apache v2 license. It supports the running of applications on large clusters of commodity hardware. The Hadoop framework transparently provides applications both reliability and data motion. Hadoop implements a computational paradigm named map/reduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. In addition, it provides a distributed file system that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster.
Hadoop is mainly used for processing data that cannot be processed on a single machine. Commercial applications of Hadoop includes:
Log and/or clickstream analysis of various kinds
Machine learning and/or sophisticated data mining
Processing of XML messages
Web crawling and/or text processing
General archiving, including of relational/tabular data, e.g. for compliance
Hadoop and MapReduce: An Overview
- Big Data and the questions
- Hadoop and the answers
- Hadoop Cluster Configuration
Hadoop Internals and MapReduce Design Patterns
- Hadoop framework Internals
- MapReduce Internals
- MapReduce Design Patterns and Use-Cases
Hadoop in Production
- Best practices for Hadoop cluster
- Best Practices for MapReduce
- Hadoop in the cloud
- Big Data and Social Media
Thanks to Xpertised and the tutor who walked me through all the topics with Practical exposure which is helping me in my current project.
Course was quite helpful in terms of understanding of concepts and practicality. Its really a very friendly environment to learn. The timing were mutually chosen, as we both are working professional.
I am quite satisfied with the course.