Building Data Analytics Solutions Using Amazon Redshift

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 build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake tolt;/pgt;lt;pgt;support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.lt;/pgt;lt;pgt;lt;stronggt;Activitieslt;/stronggt;lt;/pgt;lt;pgt;This course includes presentations, interactive demos, practice labs, discussions, and class exerciseslt;/pgt;lt;pgt;lt;stronggt;Intended audiencelt;/stronggt;lt;/pgt;lt;pgt;This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.lt;/pgt;