Get the most out of the popular Apache Spark framework to perform efficient analytics on your real-time data
About This Video
Leverage the power of Apache Spark to perform efficient data processing and analytics on your data in real-time
Process and analyze streams of data with ease and perform machine learning efficiently
A comprehensive tutorial to help you get the most out of the trending Big Data framework for all your data processing needs
This video is a comprehensive tutorial to help you learn all the aspects of real-time analytics with Apache Spark, one of the trending big data processing frameworks on the market today. We will show you how to leverage the various components of the Spark framework to efficiently process, analyze, and visualize data.
You will learn how to use SparkSQL and DataFrames API for structured data processing. You will also see how to build efficient machine learning models using the Spark MLlib module. We'll show you how to analyze and process graphs and streams of data in real-time using the GraphX and Spark Streaming modules. Finally, you'll discover how to create an effective Spark dashboard to visualize the data analysis, and gain insights to make informed business decisions.
By the end of this video, you will be well-versed with all the aspects of real-time analytics and implementing them in Spark.