Course Description

Course Overview

The AWS Certified Big Data – Specialty course is designed to equip individuals with the knowledge and skills needed to design and implement big data solutions using various AWS services and technologies. Participants will learn about different data processing and storage options, real-time data streaming, data analysis, and machine learning on the AWS platform. The course covers advanced topics in big data architecture, data governance, and security, enabling participants to become proficient in leveraging AWS services for big data applications.

Prerequisites

To enroll in the AWS Certified Big Data – Specialty course, participants should have:

• Experience in designing and implementing big data solutions
• Proficiency in data analysis and data processing technologies
• Familiarity with AWS core services and architectures
• Understanding of big data concepts and frameworks
• Basic programming skills and knowledge of SQL

Methodology

The course follows a blended learning approach, combining instructor-led training, interactive discussions, demonstrations, and hands-on labs. Participants will engage in lectures, case studies, and interactive activities to understand big data concepts and best practices on the AWS platform. They will also work on hands-on labs and exercises to gain practical experience in implementing big data solutions using AWS services.

Course Outline

Big Data Fundamentals on AWS

Introduction to big data concepts, technologies, and frameworks

Overview of AWS big data services, including Amazon S3, Amazon EMR, and Amazon Redshift

Exploring AWS data storage and data processing options

Data Ingestion and Streaming

Designing data ingestion pipelines using AWS services, such as AWS Glue and AWS Kinesis

Implementing real-time data streaming solutions

Handling high-velocity and high-volume data streams

Data Storage and Processing

Implementing scalable and cost-effective data storage using AWS services, such as Amazon S3 and Amazon DynamoDB

Leveraging AWS data processing services, including Amazon EMR and AWS Glue

Designing data processing workflows and data transformation tasks

Big Data Analytics and Visualization

Utilizing AWS services, such as Amazon Athena and Amazon QuickSight, for data analysis and visualization

Implementing machine learning algorithms and models on AWS

Understanding big data analytics best practices and optimization techniques

Big Data Architecture and Security

Designing scalable and fault-tolerant big data architectures on AWS

Implementing data governance and data security controls

Ensuring compliance and privacy of big data solutions

Course Outcome

Upon completion of the AWS Certified Big Data – Specialty course, participants will:

• Have advanced knowledge and skills in designing and implementing big data solutions on the AWS platform
• Be prepared to pass the AWS Certified Big Data – Specialty exam
• Possess the ability to architect scalable and cost-effective big data solutions using AWS services
• Understand data ingestion and streaming techniques for real-time data processing
• Be proficient in big data analytics and machine learning on AWS
• Have practical experience in implementing big data solutions through hands-on labs and exercises

Labs

The course includes hands-on labs and exercises that provide participants with practical experience in designing, implementing, and managing big data solutions on the AWS platform. Participants will have access to AWS resources and tools to complete the labs, allowing them to practice data ingestion, data storage, data processing, and data analysis using AWS services. The labs are designed to reinforce the concepts covered in the course and enhance participants’ practical skills in AWS big data technologies.