Interactive Dashboards with Amazon QuickSight

Interactive Dashboards with Amazon QuickSight, available at $49.99, has an average rating of 3.69, with 33 lectures, 7 quizzes, based on 8 reviews, and has 58 subscribers.

You will learn about Create actionable information by applying data storytelling that drives better decision making and resonates with your audience. Understand AWS Big Data ecosystem services and how they can be used to build a cloud-based analytical solution with QuickSight for visualization. Construct calculations to declutter your dashboards and build compelling charts. Generate user interactivity and discovery through the use of filters, parameters, and actions in QuickSight. Discover advanced features in QuickSight including machine learning-based forecasting, anomaly detection, and mobile application. This course is ideal for individuals who are This course is for managers, developers, and analysts who have a basic knowledge of AWS, use AWS data services and want to learn how to use Amazon QuickSight for Business Intelligence or to share dashboards. It is particularly useful for This course is for managers, developers, and analysts who have a basic knowledge of AWS, use AWS data services and want to learn how to use Amazon QuickSight for Business Intelligence or to share dashboards.

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Summary

Title: Interactive Dashboards with Amazon QuickSight

Price: $49.99

Average Rating: 3.69

Number of Lectures: 33

Number of Quizzes: 7

Number of Published Lectures: 33

Number of Published Quizzes: 7

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Create actionable information by applying data storytelling that drives better decision making and resonates with your audience.
Understand AWS Big Data ecosystem services and how they can be used to build a cloud-based analytical solution with QuickSight for visualization.
Construct calculations to declutter your dashboards and build compelling charts.
Generate user interactivity and discovery through the use of filters, parameters, and actions in QuickSight.
Discover advanced features in QuickSight including machine learning-based forecasting, anomaly detection, and mobile application.

Who Should Attend

This course is for managers, developers, and analysts who have a basic knowledge of AWS, use AWS data services and want to learn how to use Amazon QuickSight for Business Intelligence or to share dashboards.

Target Audiences

This course is for managers, developers, and analysts who have a basic knowledge of AWS, use AWS data services and want to learn how to use Amazon QuickSight for Business Intelligence or to share dashboards.

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.

About the Author

Rajesh Nadipalli is currently a Sr. Director at PPD Enterprise data group and is responsible for empowering data and analytics-driven insights for clinical research and life science use cases. He is leading the next generation cloud data lake with governance, Machine Learning, AI and advanced analytics. In his previous role, he was Director of Professional Services and Support at Zaloni; an award-winning provider of enterprise Data Lake management solutions that enables global clients to innovate and leverage big data for business impact. Raj led big data technical proof-of-concept, solution architecture and post-sales product support for clients that included AIG, NBCU, Verizon, Du, American Express, Netapp and Dell EMC.

Throughout his 20+ years of IT experience, Raj has had a passion for data and held various roles as Big Data Architect, DBA, business intelligence architect, and ETL developer. He is also the author of Effective Business Intelligence with QuickSight and HDInsight Essentials. Raj is also a regular blogger and his articles are published in Zaloni blog, Youtube, Dataflow and DBZone. Raj holds an MBA from North Carolina State University and a BS in EE from the University of Mumbai.

Course Curriculum

Chapter 1: Quick Start to QuickSight

Lecture 1: The Course Overview

Lecture 2: Big Data Analytics and AWS

Lecture 3: How QuickSight Is Different than Other BI Tools

Lecture 4: BI Solution Based on QuickSight

Lecture 5: How to Get Started with QuickSight

Lecture 6: Performing Your First Analysis in 60 Seconds

Chapter 2: Importing Data to QuickSight

Lecture 1: AWS Big Data Ecosystem

Lecture 2: Importing Files to QuickSight

Lecture 3: Importing Databases to QuickSight

Lecture 4: Importing Data from SaaS Services to QuickSight

Lecture 5: Edit Existing Data Sources in QuickSight

Chapter 3: Enriching Your Data in QuickSight

Lecture 1: Joining Datasets

Lecture 2: Using Functions

Lecture 3: Applying Filters

Lecture 4: Understanding SPICE Layer

Chapter 4: Building Interactive Visuals Using QuickSight

Lecture 1: Creating a QuickSight Analysis

Lecture 2: Explore Various Charting Options

Lecture 3: Exploring Various Map Options

Lecture 4: Exploring Various Table and Other Visual Options

Lecture 5: Telling a Story and Sharing Dashboard

Chapter 5: Building a Mini-Project in AWS with QuickSight

Lecture 1: Mini-Project Overview

Lecture 2: Mini-Project Architecture

Lecture 3: Data Ingestion for Mini Project

Lecture 4: Data Transformation

Lecture 5: Reports, Dashboards, and Stories

Chapter 6: Administration and Mobile App

Lecture 1: Managing Identity and Access to QuickSight

Lecture 2: Managing QuickSight Permissions on AWS Resources

Lecture 3: Managing QuickSight Usage

Lecture 4: Mobile Application Setup

Lecture 5: Mobile Application Navigation

Chapter 7: Advanced Features and Closing Comments

Lecture 1: Machine Learning Features

Lecture 2: Dashboard Embedding and APIs

Lecture 3: Closing Comments

Instructors

Packt Publishing
Tech Knowledge in Motion

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