Learn hadoop and big data technologies
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Hadoop is an open source framework that stores and processes large data sets across clusters of computers using simple programming models. It is written in Java and allows for the distributed processing of large data sets across clusters of computers using simple programming models. This document provides information on learning Hadoop and big data technologies from Eduonix, including an overview of Hadoop, popular job roles, salaries, course topics covered, requirements, and how to access the self-paced online video tutorials and materials. The course aims to help professionals master MapReduce and Hadoop fundamentals to address the growing need for big data skills.
Learn hadoop and big data technologies
- 1. Learn Hadoop and Big Data Technologies
- 2. Hadoop An Open source framework that stores and processes Big Data in distributed manner on a large groups of hardware Developer – Apache Software Foundation Written in – Java and C programming languages
- 6. 143000 143000 115000 112000 104000 116000 123000 0 20000 40000 60000 80000 100000 120000 140000 160000 java hadoop technical architect senior hadoop engineer Hadoop Application Developer Java Hadoop Developer Big Data Analyst Hadoop software engineer Hadoop Administrator Annual Salaries for Hadoop Developers in $$
- 7. Where can I learn Hadoop
- 8. Learn Hadoop and Big Data Technologies from Eduonix o Eduonix Learning Solutions is a renowned name in providing online education globally o It has educated to over 3 million students all over the world and seeks to provide education to the learning needs of various students, professionals and enthusiasts o Eduonix offers online courses on various topics related to Business, Technology, Designing and Management o There is too much data and not enough professionals to manage and analyse it. This course from Eduonix aims to close the gap by covering MapReduce and its most popular implementation: Apache Hadoop o You will learn Hadoop ecosystems and the practical concepts involved in handling very large data sets through their online video tutorials created by highly professionals of Hadoop and Big Data
- 9. Topics covered in this course 1. Introduction To Big Data 2. Hadoop Architecture 3. Distributed File Systems 4. Mapreduce With Hive ( Data Warehousing ) 5. Mapreduce With Pig (Parallel Processing) 6. The Hadoop Ecosystem 7. Mapreduce Version 2 8. Putting It All Together
- 10. What will you get from this course • Over 74 lectures and 15.5 hours of content! • Become literate in Big Data terminology and Hadoop • Understand the Distributed File Systems architecture and any implementation such as Hadoop Distributed File System or Google File System • Use the HDFS shell • Use the Cloudera, Hortonworks and Apache Bigtop virtual machines for Hadoop code development and testing • Configure, execute and monitor a Hadoop Job
- 11. Target Audience • Big Data professionals who want to Master MapReduce and Hadoop • IT professionals and managers who want to understand and learn this hot new technology Requirements • Basic knowledge of Java Programming • A familiarity of Linux • Have Oracle Virtualbox or VMware installed and functioning
- 12. What's more?.. Learn at your own pace You can access the course through the Course Dashboard which allows you to view the video tutorials, ask questions, download reading materials, source code and presentations. If you don't like the course then get your money back with in one month. No questions will be asked. Don’t believe me then check out ‘Learn Hadoop and Big Data Technologies’ course at Eduonix and Master yourself in Hadoop Technology
- 13. Find Eduonix @ Website - http://www.eduonix.com/ Email – [email protected] Tel - +91 22-60504040