Overview

Apache Spark is a unified analytics engine used in the processing and analysis of large data. It has begun to gain recognition within large organizations for its speed, ease of use, standard interface and real-time data processing features. It could have a great advantage in getting into data analysis or data science work if you’ve come here to learn advanced analytics and real-time processing in Apache Spark. This course is designed to educate you on all aspects of Apache Spark to start processing and analyzing big data.

You will learn how to use the architecture and components of Spark streaming and generate final batches of data. You will then move on to explore the use of the spark streaming application to use it appropriately with the appropriate engine, along with a glimpse into the spark streaming word count issue and the spark streaming API. This course will also give due attention to the stressful task of managing events that are not in order while building streaming applications.

Prerequisites

• The age of the learner must be 16 or above.
• The learner must have a basic understanding of Maths, English, and ICT.
• The learner must have a basic knowledge of spark programming, Apache Spark and real-time data processing is required to follow up on this course.

Who Is This Course Designed For?

• This course is designed for those who want to learn advanced analytics and real-time data processing.
• Anyone who wants to enter or advance in the data analysis or data science fields.

The Benefits of Advanced Analytics and Real-Time Data Processing in Apache Spark Training

• Recognised Accredited Qualification
• Manage events 
• Learn about the architecture of Apache Spark
• Learn about components of Apache Spark

Jobs You Can Get with Advanced Analytics and Real-Time Data Processing in Apache Spark Qualification

• Data analyst 
• Data scientist
• Data Manager 
• Data analysis manager 
• Data engineer