Integrating Cassandra with Apache Spark | Read/Write to Cassandra using PySpark

In this lecture, we're going to learn all about how to work with Cassandra using Apache Spark(PySpark) where we will learn about how to read and write data file to Cassandra using Apache PySpark code and will use HDP Sandbox for this purpose since it will allow you to setup a single node Hadoop Cluster on your PC. Below are the commands, data files and codes for this lecture: wget https://raw.githubusercontent.com/ashaypatil11/hadoop/main/movies.user hadoop fs -mkdir /user/maria_dev/cassandra hadoop fs -copyFromLocal movies.user /user/maria_dev/cassandra/movies.user wget https://raw.githubusercontent.com/ashaypatil11/hadoop/main/cassandraspark.py service cassandra start export SPARK_MAJOR_VERSION=2 spark-submit --packages com.datastax.spark:spark-cassandra-connector_2.11:2.4.2 cassandraspark.py cd /etc/yum.repos.d ------------------------------------------------------------------------------------------------------------- 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/ Full step-by-step video: https://youtu.be/YXZLGL9vSug 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 has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well. Prerequisites Before proceeding with this full course, it is good to have prior exposure to Python programming, 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: 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. #pyspark #bigdata #datascience #dataanalytics #datascientist #spark #dataengineering #apachespark