Hadoop Components | Hadoop Tutorial | Online Hadoop Training | Intellipaat скачать в хорошем качестве

Hadoop Components | Hadoop Tutorial | Online Hadoop Training | Intellipaat

Intellipaat Big Data Hadoop course: https://intellipaat.com/big-data-hado... This tutorial on Hadoop is an explanation of the two important Hadoop Components i.e MapReduce and HDFS. Apart from that it has also explained the Hadoop Ecosystems like Sqoo , Mahout, Hive, Pig, HBase, Flume and OOzie. 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 Hive? Ask us in the comment section below. Are you looking for something more? Enroll in our Hadoop Developer training course and become a certified Hadoop Expert (https://goo.gl/KUdjNB). 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? Hadoop is a disseminated registering framework that chips away at ware equipment on a scale and speed that is quite recently unrealistic for other database preparing frameworks to coordinate. Because of this there is a gigantic interest for Hadoop Developers who can send Hadoop on a huge scale. This Hadoop Developer internet preparing outfits you with the correct ranges of abilities expected to take the Professional Hadoop Developer Cloudera Certification. This Hadoop Certification preparing is your travel permit to the most looked for after employments in the Big Data world. ------------------------------ What you will learn in this course? This course will be covering following topics: Take in the Hadoop Architecture and Hadoop fundamentals for amateurs 1.Learn what is Hadoop, HDFS and MapReduce structure 2.Compose MapReduce programs and send Hadoop groups 3.Create applications for Big Data utilizing Hadoop Technology 4.Create YARN programs on the Hadoop 2.X variant 5.Work on Big Data investigation utilizing Hive, Pig and YARN 6.Coordinate MapReduce and HBase to do propelled utilization and Indexing 7.Learn essentials of Spark system and its working 8.Comprehend RDD in Apache Spark 9.Learn Hadoop advancement best practices ------------------------------ For more information: Please write us to [email protected] or call us at: +91-7847955955 Website: https://goo.gl/KUdjNB Facebook:   / intellipaatonline   LinkedIn:   / intellipaat   Twitter:   / intellipaat