Big Data Collection and Storage in AWS

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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.

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