Real-Time Data Pipelines with AWS Kinesis

Real-Time Data Pipelines with AWS Kinesis offers a comprehensive exploration of building, managing, and optimizing data pipelines that process streaming data in real-time. Participants will engage in hands-on projects that simulate real-world scenarios, allowing them to apply theoretical concepts directly to practical applications. This course emphasizes interactive learning, where participants will not only develop technical skills but also have the opportunity to publish their findings and projects in Cademix Magazine, enhancing their professional visibility.
The curriculum is structured to provide a deep understanding of AWS Kinesis and its ecosystem, including data ingestion, processing, and analytics. Participants will learn to design scalable architectures that can handle high-throughput data streams while ensuring data integrity and availability. By the end of the course, learners will have the capability to implement real-time data solutions that meet contemporary business needs, preparing them for advanced roles in data analytics and engineering.
Syllabus:
Introduction to Real-Time Data Processing Concepts
Overview of AWS Kinesis: Architecture and Components
Setting Up AWS Kinesis Streams and Firehose
Data Ingestion Techniques for Streaming Data
Processing Data with AWS Lambda and Kinesis Data Analytics
Integrating AWS Kinesis with Other AWS Services
Monitoring and Troubleshooting Kinesis Data Pipelines
Best Practices for Data Security and Compliance
Case Studies: Real-World Applications of AWS Kinesis
Final Project: Building a Complete Real-Time Data Pipeline

Equip participants with the skills to design and implement real-time data pipelines using AWS Kinesis, enhancing their employability in data-centric roles.

Graduates, job seekers, business professionals, researchers, and consultants interested in real-time data analytics.

Basic understanding of cloud computing and familiarity with AWS services.