Building Streaming Data Analytics Solutions on AWS Training

Duration

Prerequisites

• 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

Target Audience

• Data engineers and architects
• Developers who want to build and manage real-time applications and streaming data analytics solutions

Skills Gained

• 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