Overview
Big Data on AWS is an in-depth course designed to help professionals leverage AWS services for big data solutions. The course focuses on key aspects of big data workflows, including data collection, ingestion, storage, processing, and analysis. Participants will learn how to design and implement scalable, secure, and cost-effective big data applications tailored to business requirements.
Throughout the course, you will explore essential AWS services such as Amazon S3, EMR, Redshift, Kinesis, Athena, and Glue. These tools are used to collect and store large datasets, process them efficiently, and perform advanced analytics. The course also highlights best practices for handling massive datasets, optimizing workflows, and managing costs effectively.
Hands-on labs and real-world scenarios are integrated into the course to provide practical experience. Participants will build data pipelines, set up streaming data workflows, and analyze data using visualization and reporting tools. Additionally, the course covers security considerations for big data applications, ensuring data integrity and compliance.
By the end of this course, you will be equipped with the knowledge and skills to create robust big data solutions on AWS, making it ideal for data engineers, architects, and analysts looking to enhance their expertise in cloud-based big data processing.
