This video is just a snippet from our Big Data Hadoop training course explaining briefly the fundamentals of Hadoop. Access our free Hadoop tutorial (goo.gl/WHrSb3) to get a better understanding of Hadoop and its different components like HDFS, MapReduce, YARN, Multi-Node Cluster, Apache Pig & Hive, HBbase, Sqoop & Impala, Oozie & Flume, Zookeeper and Hue. Find Big Data Hadoop Training in Melbourne: goo.gl/EeM4jg If you’ve enjoyed this video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Got any questions about Hadoop? Ask us in the comment section below. Are looking for something more? Enroll in our Big Data Hadoop training course and become a certified Hadoop Architect (goo.gl/WHrSb3). It is a 30 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies ------------------------------ Intellipaat Edge 1. 24x7 Life time Access & Support 2. Flexible Class Schedule 3. Job Assistance 4. Mentors with +14 yrs industry experience 5. Industry Oriented Courseware 6. Life time free Course Upgrade ------------------------------ Why take this course? • Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research • Shortage of 1.4 -1.9 million Hadoop Data Analysts in US alone by 2018– Mckinsey • Hadoop Administrator in the US can get a salary of $123,000 – indeed.com Big Data is the one of the most booming technology domains of present times. Some of the top-notch companies are investing heavily for acquiring Big Data technologies. This huge demand has made the Big Data professionals some of the most coveted individuals across the globe. Therefore having a recognized Big Data certification mentioned on the resume will definitely take an aspirant to the peak of his career. ------------------------------ What you will learn in this course? This course will be covering following topics: 1. Core concepts of Hadoop framework 2. Hadoop components viz., HDS, MapReduce, Hive, Pig, Oozie, Flume, Zookeeper and HBase 3. Configuring Pseudo node and Multi-node cluster on Amazon EC2 platform 4. Master Spark and its components- RDD, MLlib, GraphX, etc. 5. Manage, monitor, administer and troubleshoot the Hadoop cluster 6. Testing Hadoop applications 7. Getting a good grasp of Avro Data Format 8. In-depth study of Big Data Analytics ------------------------------ For more information: Please write us to sales@intellipaat.com or call us at: +91-7847955955 Website: goo.gl/WHrSb3 Facebook: www.facebook.com/intellipaatonline LinkedIn: www.linkedin.com/in/intellipaat/ Twitter: www.twitter.com/intellipaat

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