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Effective Business Intelligence with QuickSight

You're reading from   Effective Business Intelligence with QuickSight Boost your business IQ with Amazon QuickSight

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Product type Paperback
Published in Mar 2017
Publisher
ISBN-13 9781786466365
Length 262 pages
Edition 1st Edition
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Author (1):
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Rajesh Nadipalli Rajesh Nadipalli
Author Profile Icon Rajesh Nadipalli
Rajesh Nadipalli
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Toc

Table of Contents (9) Chapters Close

Preface 1. A Quick Start to QuickSight FREE CHAPTER 2. Exploring Any Data 3. SPICE up Your Data 4. Intuitive Visualizations 5. Secure Your Environment 6. QuickSight Mobile 7. Big Data Analytics Mini Project 8. QuickSight Product Shortcomings

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

...

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