Interactive Dashboards with Amazon QuickSight

Video description

Create interactive dashboards that drive better decision-making using QuickSight

About This Video

  • This course will set you up to successfully build dashboards easily and share them with stakeholders or customers in little time.
  • The courses are set up in chapters so that you can learn at your own pace. You could be building an interactive dashboard within a week's time.
  • We offer quizzes to help you determine how well you caught important keys and we even give you data for your project to work with the help of videos, real interactive learning. We even have added bonus lessons.

In Detail

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.

Publisher resources

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Table of contents

  1. Chapter 1 : Quick Start to QuickSight
    1. The Course Overview 00:02:43
    2. Big Data Analytics and AWS 00:04:18
    3. How QuickSight Is Different than Other BI Tools 00:03:33
    4. BI Solution Based on QuickSight 00:03:43
    5. How to Get Started with QuickSight 00:02:50
    6. Performing Your First Analysis in 60 Seconds 00:05:01
  2. Chapter 2 : Importing Data to QuickSight
    1. AWS Big Data Ecosystem 00:06:22
    2. Importing Files to QuickSight 00:05:03
    3. Importing Databases to QuickSight 00:05:10
    4. Importing Data from SaaS Services to QuickSight 00:03:52
    5. Edit Existing Data Sources in QuickSight 00:04:33
  3. Chapter 3 : Enriching Your Data in QuickSight
    1. Joining Datasets 00:07:37
    2. Using Functions 00:05:32
    3. Applying Filters 00:05:58
    4. Understanding SPICE Layer 00:03:03
  4. Chapter 4 : Building Interactive Visuals Using QuickSight
    1. Creating a QuickSight Analysis 00:04:42
    2. Explore Various Charting Options 00:07:30
    3. Exploring Various Map Options 00:05:13
    4. Exploring Various Table and Other Visual Options 00:06:48
    5. Telling a Story and Sharing Dashboard 00:04:30
  5. Chapter 5 : Building a Mini-Project in AWS with QuickSight
    1. Mini-Project Overview 00:03:12
    2. Mini-Project Architecture 00:03:32
    3. Data Ingestion for Mini Project 00:05:17
    4. Data Transformation 00:04:32
    5. Reports, Dashboards, and Stories 00:04:24
  6. Chapter 6 : Administration and Mobile App
    1. Managing Identity and Access to QuickSight 00:03:38
    2. Managing QuickSight Permissions on AWS Resources 00:03:17
    3. Managing QuickSight Usage 00:05:57
    4. Mobile Application Setup 00:02:28
    5. Mobile Application Navigation 00:03:33
  7. Chapter 7 : Advanced Features and Closing Comments
    1. Machine Learning Features 00:05:31
    2. Dashboard Embedding and APIs 00:05:22
    3. Closing Comments 00:04:31

Product information

  • Title: Interactive Dashboards with Amazon QuickSight
  • Author(s): Rajesh Nadipalli
  • Release date: February 2020
  • Publisher(s): Packt Publishing
  • ISBN: 9781838553487