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Streaming Data Pipelines with AWS

Capture and analyze data in real time with AWS Kinesis and Redshift. This course will teach you to build end-to-end streaming data pipelines for real-time analytics using AWS services.

Lucian Lazar - Pluralsight course - Streaming Data Pipelines with AWS
Lucian Lazar
What you'll learn

Batch jobs deliver data too late for timely decisions.

In this course, Streaming Data Pipelines with AWS, you’ll learn to build end‑to‑end real‑time data ingestion and analytics solutions.

First, you’ll explore how to set up and configure Amazon Kinesis Data Streams and Kinesis Data Firehose for live data capture.

Next, you’ll configure Amazon Redshift streaming ingestion and materialized views to support immediate analytics.

Finally, you’ll learn how to optimize performance, control costs, and troubleshoot your pipelines using AWS CloudWatch and Kinesis Data Analytics.

When you’re finished with this course, you’ll have the skills and knowledge of streaming data pipelines on AWS needed to build end‑to‑end real‑time data ingestion and analytics solutions.

Table of contents

About the author
Lucian Lazar - Pluralsight course - Streaming Data Pipelines with AWS
Lucian Lazar

Lucian is a software developer and teaching assistant passionate about mentoring others in Oracle databases, PL/SQL programming and performance tuning.

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