Apache Spark : A distributed processing engine with built in machine learning pipeline

This video explains Apache Spark, one of the most popular big data tool. Please subscribe to my channel using the link https://www.youtube.com/channel/UCQvk... If you want to learn more about big data, you can subscribe to my courses on Udemy. To subscribe to big data for managers course, use the link: https://www.udemy.com/course/big-data... To subscribe to big data foundation for developers course that includes developing machine learning code using Apache Kafka, use the link: https://www.udemy.com/course/big-data... , to subsrcibe to Apache Kafka developer course, use the link: https://www.udemy.com/course/apache-k... . To subscribe to Apache Storm developer course, use the link: https://www.udemy.com/course/hands-on... . Students in more than 50 countries are making use of these courses. In this video you learn about Apache Spark, a distributed big data processing engine. Spark supports distributed processing of data stored in HDFS using Scala, Python, Java, R and SQL. You can represent the data as hive tables and process it as Dataframes. You can process historic data, real time data using structured streaming or provide predictive analytics using machine learning techniques. Spark provides machine learning pipelines to automate building and validation of machine learning model. You can build ML models like decision trees, K-means clusters, recommendation engines and Linear regression models.