Companies around the world today find it increasingly difficult to organize and manage large volumes of data. Hadoop has emerged as the most efficient data platform for companies working with big data, and is an integral part of storing, handling and retrieving enormous amounts of data in a variety of applications. Hadoop helps to run deep analytics which cannot be effectively handled by a database engine.
Big enterprises around the world have found Hadoop to be a game changer in their Big Data management, and as more companies embrace this powerful technology the demand for Hadoop Developers is also growing. By learning how to harness the power of Hadoop 2.0 to manipulate, analyse and perform computations on Big Data, you will be paving the way for an enriching and financially rewarding career as an expert Hadoop developer.
Our three day course in Hadoop 2.0 Developer training will teach you the technical aspects of Apache Hadoop, and you will obtain a deeper understanding of the power of Hadoop. Our experienced trainers will handhold you through the development of applications and analyses of Big Data, and you will be able to comprehend the key concepts required to create robust big data processing applications. Successful candidates will earn the credential of Hadoop Professional, and will be capable of handling and analysing Terabyte scale of data successfully using MapReduce.
What you get:
- Perform real-world data analysis using advanced Hadoop API topics.
- Implement industry best practices for Hadoop development, debugging techniques and implementation of workflows and common algorithms.
- Retrieve information in concise and cost effective manner.
- Navigate, set up and run Hadoop command and queries.
- Retrieve a gold mine of information from unstructured data.
- Process large data sets with the Hadoop ecosystem.
- Describe the path to ROI with Hadoop.
- Explain the Hadoop frameworks like ApachePig™, ApacheHive™, Sqoop, Flume, Oozie and other projects from the Apache Hadoop Ecosystem.
- Boost their career in the field of high-value analytics.
Course Content
Section 1: Course Overview
Section 2: Hadoop and Hadoop Ecosystem
Section 3: Pig and Hive
Section 4: Advanced Map Reduce
Section 5: Cluster Planning
Section 6: Hands On using Hadoop 2.0
