About this Course
In today’s digital economy, data shouldn’t stand still — neither should you. This course, Real-Time Data Pipelines & Analytics on AWS, provides you with the necessary skills to process streaming data and make it business-ready. Taught with a focus on actual use cases, you get hands-on practice with AWS’s most popular tools, including Amazon Redshift, Kinesis, Glue, Athena, EMR, QuickSight, OpenSearch, and more. Whether you are new to cloud data engineering or have experience and want to learn the latest, this course offers a curated curriculum featuring practical demos, guided videos, and examples. You’ll discover ways to increase the performance of your Redshift cluster, secure Kinesis streams, and integrate Spark with various AWS services. You’ll also be able to design analytics pipelines that provide real-time results. By the time you are finished with this course, you will be able to build production-ready data pipelines that shine in today’s high-demand tech industry. Enroll now and begin your path towards the data engineer that every company is looking for. Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS
What You'll Learn
- Build real-time data pipelines with AWS tools like Kinesis, Glue, and Redshift
- Analyze and visualize streaming data using Athena, QuickSight, and OpenSearch
- Secure streams, scale clusters, and integrate Spark with AWS services
- Design production-ready pipelines for real-time business insights
Prerequisites
- Basic familiarity with the topic and its common terminology
- Readiness to practice through applied exercises or case-based work
Instructors
LearnKartS