Big Data Analytics Using Spark

Industries such as Banks, Finance, Logistics among others process and analyse huge amounts of data every day. It is important to know how this is done using modern technologues involving Big Data and Spark.

This course will take you through how you can deal with huge volumes of data and perform analytics and machine learning on it.

Big Data has evolved over the last few years and has become mainstream for many big organizations. This course covers the fundaments of Big Data using Spark. Spark is a “fast cluster computing framework” for Big Data Processing. It lets you runs programs and operations up-to 100x faster in memory. 

You will be exposed to various libraries in PySpark for Data Processing and Machine Learning. You will have a chance to work with various datasets through guided hands on training.

At the end of this course, you will gain an in-depth understanding of PySpark and its application to general Big Data analysis. This workshop will be conducted using a tool called Databricks which is used today to run big data loads on spark.

Big Data is the forefront of digital transformation today. This course will help you take the next steps towards learning and understanding the technologies, algorithms and programming constructs involved in big data analysis and machine learning on big data.