Ementorhub

What you'll learn

Set up and manage data pipelines using Kinesis and S3 for real-time data processing

Implement S3 security features, including encryption and bucket policies, to ensure data protection

Configure and apply lifecycle policies, replication, and versioning in S3 for efficient data management

Optimize DynamoDB throughput and analyze methods for managing large datasets

Skills you'll gain

Amazon CloudWatch

Amazon DynamoDB

Cloud Storage

Data Storage

Data Management

Data Pipelines

Amazon S3

AWS Kinesis

Scalability

AWS Identity and Access Management (IAM)

Encryption

Real Time Data

There are 3 modules in this course

Next, you will focus on AWS storage solutions with a strong emphasis on Amazon S3. Explore storage classes, replication, versioning, and lifecycle policies, all critical to effective data management. Through hands-on labs, you’ll configure S3 buckets, implement encryption, and set up event notifications, providing you with the skills needed to manage vast amounts of data securely. DynamoDB services will be introduced for scalable data storage solutions, with hands-on practice in setting up databases and optimizing throughput for performance. By the end of this course, you’ll be able to create and maintain complex data pipelines, ensuring both scalability and security. You'll have the confidence to manage data at scale, implement efficient storage solutions, and optimize performance using AWS best practices, positioning yourself to handle any data challenges AWS environments may present. This course is ideal for data engineers, IT professionals, and AWS users who want to specialize in data collection and storage. Basic knowledge of AWS services is recommended, but no prior certification is required.

Domain 1: Collection

Domain 2: Storage