Book Image

Effective Business Intelligence with QuickSight

By : Rajesh Nadipalli
Book Image

Effective Business Intelligence with QuickSight

By: Rajesh Nadipalli

Overview of this book

Amazon QuickSight is the next-generation Business Intelligence (BI) cloud service that can help you build interactive visualizations on top of various data sources hosted on Amazon Cloud Infrastructure. QuickSight delivers responsive insights into big data and enables organizations to quickly democratize data visualizations and scale to hundreds of users at a fraction of the cost when compared to traditional BI tools. This book begins with an introduction to Amazon QuickSight, feature differentiators from traditional BI tools, and how it fits in the overall AWS big data ecosystem. With practical examples, you will find tips and techniques to load your data to AWS, prepare it, and finally visualize it using QuickSight. You will learn how to build interactive charts, reports, dashboards, and stories using QuickSight and share with others using just your browser and mobile app. The book also provides a blueprint to build a real-life big data project on top of AWS Data Lake Solution and demonstrates how to build a modern data lake on the cloud with governance, data catalog, and analysis. It reviews the current product shortcomings, features in the roadmap, and how to provide feedback to AWS. Grow your profits, improve your products, and beat your competitors.
Table of Contents (15 chapters)
Effective Business Intelligence with QuickSight
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Supported data types


QuickSight supports the following primitive data types: date, float, integer, and string. If you load data from files and/or databases that contain fields that cannot be implicitly converted to the preceding primitive data types, ensure that they are explicitly converted before they are imported to QuickSight. The following table lists the source data types for specific database engines:

Database type

Numeric data types

String data types

Date-time data types

Boolean data types

SQL Server

Bigint

Decimal

Float

Int

Money

Numeric

Real

Smallint

Smallmoney

Tinyint

Char

Nchar

Nvarchar

Text

Varchar

Date

Datetime

Datetime2

Datetimeoffset

Smalldatetime

bit

Aurora, MariaDB, and MySQL

Bigint

Decimal

Float

Int

Integer

mediumint

numeric

Smallint

Tinyint

Binary

Blob

Char

Enum

Set

Text

Varbinary

Varchar

Date

Datetime

Timestamp

Year

Tinyint

PostgreSQL

Bigint

...