Big Data Analytics Using Apache Spark

Big Data Analytics Using Apache Spark

Updated Dec 10, 2019

This course will show you how to acquire structured, semi-structured, and unstructured content from different data sources. You’ll learn to query data using Spark SQL and acquire and load data via the Spark processing tool. You will learn to import structured and unstructured data from different data sources. Going further, you will learn how to use Apache Spark to perform complex processing without extensive programming knowledge and how to leverage those tools to perform data -analytics. 

By the end of the course, you will have learned to create real-world apps and stream high-velocity data with Spark Streaming.  

Target Audience

This course targets data professionals or data analysts who want to learn Spark for faster data analytics; analysts or researchers, keen to master big data analytics, who need to process and draw conclusions from big data; and analysts and professionals who have worked with analytics before but not with Apache Spark.  

Business Outcomes 

  • Handle big data with Spark and use it for stream and batch processing  

  • Implement efficient big data processing with Apache Spark.  

  • Develop real-time, rapid streaming applications using Spark Streaming.