In this course, you will learn to: - Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture. - Design and implement a streaming data analytics solution - Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage - Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data - Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case - Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights - Secure streaming data at rest and in transit - Monitor analytics workloads to identify and remediate problems - Apply cost management best practices
 

<p>This course is intended for:</p> <ul> <li>Data engineers and architects</li><li>Developers who want to build and manage real-time applications and streaming data analytics solutions</li></ul>
 

We recommend that attendees of this course have: - At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions. We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts. - Completed either Architecting on AWS or Data Analytics Fundamentals - Completed Building Data Lakes on AWS