Apache Hadoop: YARN Overview | Big Data Hadoop Tutorial

This lecture is all about Hadoop resource management component i.e. YARN (Yet Another Resource Negotiator) where we have discussed what is Hadoop YARN, significance of YARN, architecture of YARN and the process flow. In the previous lecture we have seen Querying Cassandra, Hive using Presto where we have set the configuration properties file to connect presto to our underlying Cassandra cluster and submitted SQL queries on top of our existing Cassandra keyspace. Below are commands for this lecture: scl enable python27 bash service cassandra start nodetool enablethrift cqlsh vi cassandra.properties -------------------------------------- connector.name=cassandra cassandra.contact-points=127.0.0.1 -------------------------------------- bin/launcher start bin/presto --server 127.0.0.1:8090 --catalog hive,cassandra --------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------------------- HDP Sandbox Installation links: Oracle VM Virtualbox: https://download.virtualbox.org/virtualbox/6.1.32/VirtualBox-6.1.32-149290-Win.exe HDP Sandbox link: https://archive.cloudera.com/hwx-sandbox/hdp/hdp-2.6.5/HDP_2.6.5_virtualbox_180626.ova HDP Sandbox installation guide: https://hortonworks.com/tutorial/sandbox-deployment-and-install-guide/section/1/ ------------------------------------------------------------------------------------------------------------- Also check out similar informative videos in the field of cloud computing: What is Big Data: https://youtu.be/-BoykjY5nKg How Cloud Computing changed the world: https://youtu.be/lf2lQAyW2b4 What is Cloud? https://youtu.be/DeCMeA9Xm2g Top 10 facts about Cloud Computing that will blow your mind! https://youtu.be/hmxNJEQ4XVY Audience This tutorial is made for professionals who are willing to learn the basics of Big Data Analytics using Hadoop Ecosystem and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course. Prerequisites Before you start proceeding with this course, I am assuming that you have some basic knowledge to Core Java, database concepts, and any of the Linux operating system flavors. --------------------------------------------------------------------------------------------------------------------------- Check out our full course topic wise playlist on some of the most popular technologies: SQL Full Course Playlist- https://youtube.com/playlist?list=PL6UwySlcwEYISVLQlYi3W6rGCIo9sJM0J PYTHON Full Course Playlist- https://youtube.com/playlist?list=PL6UwySlcwEYJgM4eUQOvR1KAWryFYcclq Data Warehouse Playlist- https://youtube.com/playlist?list=PL6UwySlcwEYKxi-fQHLkVYDZrJcBawZA9 Unix Shell Scripting Full Course Playlist- https://youtube.com/playlist?list=PL6UwySlcwEYIZGsbXnUxsojD0yeUA67lb -------------------------------------------------------------------------------------------------------------------------- Don't forget to like and follow us on our social media accounts which are linked below. Facebook- https://www.facebook.com/ampcode Instagram- https://www.instagram.com/ampcode_tutorials/ Twitter- https://twitter.com/ampcodetutorial Tumblr- ampcode.tumblr.com ------------------------------------------------------------------------------------------------------------------------- Channel Description- AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today.By subscribing to this channel, you will never miss out on high quality videos on trending topics in the areas of Big Data & Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more. #bigdata #datascience #dataanalytics #datascientist #hadoop #hdfs #hdp #mongodb #cassandra #hbase #nosqldatabase #nosql #pyspark #spark #presto #hadooptutorial #hadooptraining