Streaming Data Pipelines with AWS
Learn real-time data analytics with AWS Kinesis and Redshift. Build streaming data pipelines for powerful insights. Master AWS data processing.
Course Content
Streaming Data Pipelines with AWS is an intermediate-level Pluralsight course taught by Lucian Lazar. It runs 33m, is taught in English, and includes a certificate of completion. It is a paid course, first published June 2025.
Stop making decisions based on outdated data! This course, Streaming Data Pipelines with AWS, empowers you to build real-time data ingestion and analytics solutions on Amazon Web Services.
You'll master the techniques for capturing and analyzing data as it happens, moving beyond the limitations of traditional batch jobs.
Here's what you'll learn:
- Real-time Data Capture: Discover how to set up and configure Amazon Kinesis Data Streams and Kinesis Data Firehose for seamless live data ingestion.
- Immediate Analytics with Redshift: Configure Amazon Redshift streaming ingestion and leverage materialized views to enable immediate analytics on your streaming data.
- Performance Optimization & Cost Control: Learn to optimize your data pipelines for peak performance and manage costs effectively using AWS CloudWatch and Kinesis Data Analytics.
- Troubleshooting: Gain the skills to efficiently troubleshoot and resolve issues within your streaming data pipelines.
By the end of this course, you'll possess the essential skills and knowledge to design, build, and maintain end-to-end real-time data pipelines on AWS, unlocking the power of immediate insights. Learn to build robust data ingestion and analytics systems with AWS Kinesis and Redshift.
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