Linkedin Learning – Learning Amazon Web Services AWS QuickSight Online Class

Linkedin Learning – Learning Amazon Web Services AWS QuickSight Online Class-ZH
English | Size: 653.98 MB
Category: Tutorial


Amazon Web Services (AWS) QuickSight is a powerful data analytics and visualization tool for monitoring data analyzing trends, and making decisions. You can leverage ETL processes to get data, shape it into a viable form for calculations and analysis, then load the data into the visualization interface. From there, you can create visuals and charts to share the data trends and analysis to communicate it to a wider audience and key stakeholders. Join instructor Helen Wall in this course, as she shows how to use all the features of QuickSight. Learn how to connect to data sources, including Excel files, S3 buckets, and SQL Server; transform data and add calculations; load data into the QuickSight visualization interface; and create and format engaging visualizations and dashboards. Helen also explains how to share your work through dashboards that others can access on their computers or mobile devices, and share work outside the platform via email exports, and embedded applications

Packt – Interactive Dashboards with Amazon QuickSight

Packt – Interactive Dashboards with Amazon QuickSight-XQZT
English | Size: 721.89 MB
Category: Tutorial

As the largest cloud provider in the world, it’s no surprise that Amazon Web Services is getting into the BI game with its new business analytics service: QuickSight. Whether you already store your data in the Amazon Cloud or elsewhere, QuickSight allows you to analyze your data to gain those critical business insights that inform better decision-making. Amazon QuickSight is a new cloud-based business analytics service enabling users to visualize and extract business insight from their data. This course teaches you how to connect, prepare and analyze your data inside one of Amazon’s newest services. In this course, you will cover an end to end architecture on AWS Big data ecosystem from importing data to S3 storage using Lambda, preparing data using Athena, connecting Athena and QuickSight SPICE and finally visualizing the data using QuickSight. The major topics that will be covered in this course include Big Data Analytics and AWS services, QuickSight account creation, connecting your data to QuickSight, data preparation using functions, QuickSight visualizations, dashboards, and stories. By the end of this course, you’ll have mastered the skills required to build a data analytics solution in AWS using QuickSight along with other related services.