Real-Time Data Pipelines & Analytics on AWS

Overview

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.

Syllabus

AWS Data Processing and Query Services

Learn to process and query large datasets with AWS services like Redshift and Apache Spark. Master data workflows, performance optimization, and Redshift integrations, including ML and Lambda UDFs.

Analytics Tools and Exploring Real-Time Streaming

Dive into real-time data analytics with Kinesis, Athena, and AWS Glue for ETL tasks. Learn to process streaming data, scale real-time applications, and visualize data with QuickSight and MSK.