AWS Certified Big Data - Specialty

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain in-depth knowledge of AWS services used for big data collection and storage. You will explore tools like Kinesis, IoT, DynamoDB, and S3, all essential in creating scalable big data solutions. By the end of the course, you will be well-versed in setting up systems for real-time data ingestion, storage optimization, and secure access management in the cloud. As the course progresses, you will delve into specialized topics such as collecting data with Kinesis Firehose, leveraging S3 for secure storage, and implementing DynamoDB for highly available databases. Practical lessons on IoT and stream processing will help you build a full-stack solution for big data workflows. You’ll also learn how to handle data encryption, permissions, and lifecycle management for efficient storage solutions. Throughout the journey, you will tackle hands-on challenges, enabling you to apply AWS’s services to real-world problems. From basic storage concepts to advanced real-time processing, you’ll be guided through each service with step-by-step explanations and actionable use cases. This course is perfect for those looking to build expertise in cloud-based big data solutions. It’s ideal for data engineers, cloud architects, and IT professionals who want to enhance their ability to design and manage robust data systems. A basic understanding of cloud services and programming is helpful but not required. By the end of the course, you will be able to configure and use AWS services like Kinesis, IoT, DynamoDB, and S3, to collect, store, and manage big data securely and efficiently in real-time environments.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will learn how to visualize big data and implement robust security measures using AWS services. You will gain hands-on experience with AWS tools like QuickSight for data visualization, and explore advanced topics such as IAM for secure data access and KMS for encryption. By the end of this course, you’ll have a complete understanding of how to analyze and protect big data in the AWS cloud. The course takes you through practical demonstrations, where you will create interactive visualizations using QuickSight, as well as develop custom visualizations with third-party JavaScript tools. The course also covers security essentials, including how to manage permissions and monitor API events using CloudTrail. You will learn about encryption techniques and best practices for securing your data stored in AWS services. As the course progresses, you will learn how to integrate AWS's powerful security tools into your big data workflows. You will get to grips with managing user access via IAM, encrypting sensitive data with KMS, and ensuring comprehensive audit trails using CloudTrail. Real-world examples and use cases make it easy to understand how these services come together to protect and visualize your big data. This course is perfect for data professionals and cloud security engineers who want to gain a deep understanding of AWS’s security features and learn how to build insightful visualizations from big data. Basic knowledge of AWS and cloud concepts is helpful but not required. By the end of the course, you will be able to use AWS QuickSight for building dynamic visualizations, secure your big data using IAM and KMS, and maintain comprehensive logs of your AWS API activity with CloudTrail.