lt;pgt;This course is part of a collection called amp;#39;lt;a href="https://www.qa.com/AMWSMDAS"gt;Building Modern Data Analytics Solutions on AWSlt;/agt;amp;#39;, which consists of 4 courses. You have the option to book any of the individual [...]
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lt;pgt;This course is part of a collection called amp;#39;lt;a href="https://www.qa.com/AMWSMDAS"gt;Building Modern Data Analytics Solutions on AWSlt;/agt;amp;#39;, which consists of 4 courses. You have the option to book any of the individual courses separately. If you prefer to attend all 4 courses, you can book the combined course called lt;a href="https://www.qa.com/AMWSMDAS"gt;Building Modern Data Analytics Solutions on AWSlt;/agt;.lt;/pgt;lt;h3gt;Overviewlt;/h3gt;lt;pgt;In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fullylt;/pgt;lt;pgt;managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.lt;/pgt;lt;pgt;This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.lt;/pgt;lt;pgt;This course is intended for:lt;/pgt;lt;ulgt;lt;ligt;Data engineers and architectslt;/ligt;lt;ligt;Developers who want to build and manage real-time applications and streaming data analytics solutionslt;/ligt;lt;/ulgt;

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