Search icon Close icon
Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Checkout

Change country

Modal Close icon
Country selected Country selected
country flag Germany
Country selected
country flag Slovakia
Country selected
country flag Canada
Country selected
country flag Brazil
Country selected
country flag Singapore
Country selected
country flag Hungary
Country selected
country flag Philippines
Country selected
country flag Mexico
Country selected
country flag Thailand
Country selected
country flag Ukraine
Country selected
country flag Luxembourg
Country selected
country flag Estonia
Country selected
country flag Lithuania
Country selected
country flag Norway
Country selected
country flag Chile
Country selected
country flag United States
Country selected
country flag Great Britain
Country selected
country flag India
Country selected
country flag Spain
Country selected
country flag South Korea
Country selected
country flag Ecuador
Country selected
country flag Colombia
Country selected
country flag Taiwan
Country selected
country flag Switzerland
Country selected
country flag Indonesia
Country selected
country flag Cyprus
Country selected
country flag Denmark
Country selected
country flag Finland
Country selected
country flag Poland
Country selected
country flag Malta
Country selected
country flag Czechia
Country selected
country flag New Zealand
Country selected
country flag Austria
Country selected
country flag Turkey
Country selected
country flag France
Country selected
country flag Sweden
Country selected
country flag Italy
Country selected
country flag Egypt
Country selected
country flag Belgium
Country selected
country flag Portugal
Country selected
country flag Slovenia
Country selected
country flag Ireland
Country selected
country flag Romania
Country selected
country flag Greece
Country selected
country flag Argentina
Country selected
country flag Malaysia
Country selected
country flag South Africa
Country selected
country flag Netherlands
Country selected
country flag Bulgaria
Country selected
country flag Latvia
Country selected
country flag Australia
Country selected
country flag Japan
Country selected
country flag Russia
Country selected
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Home > Data > Business Intelligence > Effective Business Intelligence with QuickSight
Effective Business Intelligence with QuickSight
Effective Business Intelligence with QuickSight

Effective Business Intelligence with QuickSight: Boost your business IQ with Amazon QuickSight

Arrow left icon
Profile Icon Nadipalli
Arrow right icon
$48.99
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (2 Ratings)
Paperback Mar 2017 262 pages 1st Edition
eBook
$27.98 $39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Nadipalli
Arrow right icon
$48.99
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (2 Ratings)
Paperback Mar 2017 262 pages 1st Edition
eBook
$27.98 $39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$27.98 $39.99
Paperback
$48.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR

Contact Details

Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Table of content icon View table of contents Preview book icon Preview Book

Effective Business Intelligence with QuickSight

Chapter 2. Exploring Any Data

QuickSight can analyze data from various sources including Amazon Web Services (AWS) data stores, files in common formats, Salesforce, and popular database engines. QuickSight has a simple interface to connect to these sources and create datasets from them that can be stored in SPICE for subsequent analysis. In this chapter, we will first look at Amazon's big data ecosystem and then review how QuickSight can be used to connect to the various data stores. The following topics will be covered:

  • Amazon's big data ecosystem
  • QuickSight-supported data sources
  • QuickSight-supported data types and data sizes
  • Use case review
  • Uploading your own data from files, RDBMS, and SaaS to QuickSight
  • Editing existing datasets
  • Uploading data using Athena

AWS big data ecosystem

Amazon's big data ecosystem has several software services that enable business insights from data. These services can be broadly classified into four major categories - Collect, Store, Analyze, and Orchestrate, as shown in the following diagram:

AWS big data ecosystem

Figure 2.1: AWS big data ecosystem

Let's look at each category in detail.

Collect

The first step for any BI initiative is to collect data from external systems to Amazon for which AWS has the following services:

  • Direct connect: With direct connect, you can establish private connectivity between AWS and your enterprise data center and provide an easy way to move data files from your applications to AWS for analysis
  • Snowball: Snowball (also known as Import/Export) lets you import hundreds of terabytes of data quickly into AWS using Amazon-provided, secure appliances for secure transport
  • Kinesis and Kinesis Firehose: Kinesis services enable building custom applications that process or analyze streaming data

Store

The...

Supported data sources

QuickSight supports broadly three types of data sources: relational, file, and SaaS. For relational sources it supports Athena, RDS, Redshift, MySQL, and SQL Server sources. For file sources, it supports Excel, CSV, and common log formats in S3. For SaaS it supports Salesforce.

Before we explore data sources, I would like the readers to get familiar with QuickSight concept of data source and dataset. A data source identifies sources like relational database, S3 filesystem, and SaaS system like SAP. A dataset identifies specific data in a data source, for example, a table is a dataset in a RDBMS data source. A dataset is imported into SPICE for fast access.

Now let's explore the list of supported data sources using the following steps:

  1. From the QuickSight home page click on Manage data, which will show a list of existing datasets and a summary of your current SPICE utilization, as shown in the following screenshot:

    Supported data sources

    Figure 2.2: Adding a new dataset

  2. Next from this...

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...

Supported data sizes

Amazon QuickSight uses SPICE in-memory caching and hence there are some limits to data from files and tables. You can see the amount of SPICE you are using by clicking on Manage data in the top-right corner. Now let's look at the file and table limits in detail.

File limits

Any single file uploaded to QuickSight directly or from S3 must be 1 GB or less. If multiple files are imported from S3, the total size of files specified in the manifest file must be less than 5 GB and the total number of files should not exceed 100. The number of columns in a file should not exceed 200 and the number of characters per row should be less than 25,400.

Table limits

Any table or query result set imported into SPICE must be less than 10 GB. If you are dealing with tables with larger datasets, use filters to reduce the number of records to analyze. Data in any string column must be 511 characters or less.

AWS big data ecosystem

Amazon's big data ecosystem has several software services that enable business insights from data. These services can be broadly classified into four major categories - Collect, Store, Analyze, and Orchestrate, as shown in the following diagram:

Figure 2.1: AWS big data ecosystem

Let's look at each category in detail.

Collect

The first step for any BI initiative is to collect data from external systems to Amazon for which AWS has the following services:

  • Direct connect: With direct connect, you can establish private connectivity between AWS and your enterprise data center and provide an easy way to move data files from your applications to AWS for analysis

  • Snowball: Snowball (also known as Import/Export) lets you import hundreds of terabytes of data quickly into AWS using Amazon-provided, secure appliances for secure transport

  • Kinesis and Kinesis Firehose: Kinesis services enable building custom applications that process or analyze streaming data

Store

The data collected...

Supported data sources

QuickSight supports broadly three types of data sources: relational, file, and SaaS. For relational sources it supports Athena, RDS, Redshift, MySQL, and SQL Server sources. For file sources, it supports Excel, CSV, and common log formats in S3. For SaaS it supports Salesforce.

Before we explore data sources, I would like the readers to get familiar with QuickSight concept of data source and dataset. A data source identifies sources like relational database, S3 filesystem, and SaaS system like SAP. A dataset identifies specific data in a data source, for example, a table is a dataset in a RDBMS data source. A dataset is imported into SPICE for fast access.

Now let's explore the list of supported data sources using the following steps:

  1. From the QuickSight home page click on Manage data, which will show a list of existing datasets and a summary of your current SPICE utilization, as shown in the following screenshot:

    Figure 2.2: Adding a new dataset

  2. Next from this page ...

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

...

Supported data sizes

Amazon QuickSight uses SPICE in-memory caching and hence there are some limits to data from files and tables. You can see the amount of SPICE you are using by clicking on Manage data in the top-right corner. Now let's look at the file and table limits in detail.

File limits

Any single file uploaded to QuickSight directly or from S3 must be 1 GB or less. If multiple files are imported from S3, the total size of files specified in the manifest file must be less than 5 GB and the total number of files should not exceed 100. The number of columns in a file should not exceed 200 and the number of characters per row should be less than 25,400.

Table limits

Any table or query result set imported into SPICE must be less than 10 GB. If you are dealing with tables with larger datasets, use filters to reduce the number of records to analyze. Data in any string column must be 511 characters or less.

Use case review

For the next few chapters, let's bring in a real-life use case and see how QuickSight can help. For this use case, we will analyze college ratings from the Department of Education (https://www.ed.gov) and combine information from Census. The following diagram shows the overall data intake flow. In the subsequent sections, I will go into detail on each of the individual data intake processes:

Figure 2.4: Use case data sources

Next, we will look into loading data from these various sources to QuickSight.

Permissions on AWS resources

Before we get started on loading data from the various sources, we first need to grant permissions to QuickSight to access your AWS resources. Follow these steps to grant access:

  1. From the QuickSight home page, select Manage QuickSight.

  2. Click on Account settings on the left-hand side menu.

  3. Click on Edit AWS permissions as follows:

    Figure 2.5: AWS account permissions

  4. This will show the Edit QuickSight read-only access to AWS resources, as shown in the next screenshot. From here you can grant/revoke access to QuickSight from Redshift, RDS, S3, and Athena sources. After you make changes, do remember to click on Apply.

    Figure 2.6: Grant access to all sources

Now we can start loading data from various sources and create new datasets in QuickSight.

Loading text files to QuickSight

The easiest way to load data to QuickSight is to just upload it to SPICE, which was explained in Chapter 1, A Quick Start to QuickSight. Another alternative to uploading text files is to use S3 storage and this section will detail this flow.

Uploading a data file to S3

For this demonstration, we will use the file USAStateAbbr.csv, which has a list of USA state codes and the corresponding full names.

Note

The sample files are in GitHub at https://github.com/rnadipalli/QuickSight/tree/master/sampledata.

Here are the detailed steps to upload a file to an S3 filesystem:

  1. Download the file to your local system (laptop).

  2. Upload the file to AWS S3, login to our account, and from the Services menu select S3.

  3. Select the S3 bucket or create a new S3 bucket. In the next screenshot, I have selected the collegescorecard bucket that I created earlier.

  4. Click on the Upload button, select the local file from your system, and then upload.

    Figure 2.7: Upload text file to S3

  5. Now that...

Loading MySQL data to QuickSight using the AWS pipeline

In this section, we will look into the data flow path from https://www.ed.gov/ to QuickSight that uses a MySQL database. The source data is obtained from the public site and provides information about colleges in the USA.

The path to get to QuickSight involves the following steps:

  1. Uploading data to S3.

  2. Creating an AWS Data Pipeline to load data from S3 to MySQL.

  3. Loading data from MySQL to QuickSight.

Pre-requisites

The following are the pre-requisites to load data from MySQL to QuickSight:

  • Must have an RDS instance created. In this example, I will show an RDS MySQL instance.

  • Data file must be CSV. It should not contain any header rows.

  • You must have a database username and password that can connect to the database from QuickSight with the SELECT permission on some system tables so that QuickSight can estimate the table size. The following table identifies the system tables that the user account needs permission to select:

    Database type

    Access...

Loading Redshift data to QuickSight

In this section, we will look into the data flow path from the US census to QuickSight using a Redshift data store. The source data is obtained from the public site and provides information about household income and population in the USA by zip code. The path to get to QuickSight involves the following steps:

  1. Uploading data to S3.

  2. Creating an AWS Data Pipeline to load data from S3 to Redshift.

  3. Loading data from Redshift to QuickSight.

Pre-requisites

The following are the pre-requisites to load data from Redshift to QuickSight:

  • Must have a Redshift instance created.

  • Data file must be a CSV. It cannot contain a header in the data file.

  • You must have a database username and password that can connect to the database from QuickSight with the SELECT permission on some system tables so that QuickSight can estimate the table size. These tables are pg_stats, pg_class, and pg_namespace.

Uploading data to S3

For this demonstration, we will use the file USACensusSalarybyZip...

Left arrow icon

Page 1 of 14

Right arrow icon

Key benefits

  • A practical hands-on guide to improving your business with the power of BI and Quicksight
  • Immerse yourself with an end-to-end journey for effective analytics using QuickSight and related services
  • Packed with real-world examples with Solution Architectures needed for a cloud-powered Business Intelligence service

Description

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.

Who is this book for?

This book is for Business Intelligence architects, BI developers, Big Data architects, and IT executives who are looking to modernize their business intelligence architecture and deliver a fast, easy-to-use, cloud powered business intelligence service.

What you will learn

  • Steps to test drive QuickSight and see how it fits in AWS big data eco system
  • Load data from various sources such as S3, RDS, Redshift, Athena, and SalesForce and visualize using QuickSight
  • Understand how to prepare data using QuickSight without the need of an IT developer
  • Build interactive charts, reports, dashboards, and storyboards using QuickSight
  • Access QuickSight using the mobile application
  • Architect and design for AWS Data Lake Solution, leveraging AWS hosted services
  • Build a big data project with step-by-step instructions for data collection, cataloguing, and analysis
  • Secure your data used for QuickSight from S3, RedShift, and RDS instances
  • Manage users, access controls, and SPICE capacity
Estimated delivery fee Deliver to Russia

Economy delivery 10 - 13 business days

$6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 10, 2017
Length: 262 pages
Edition : 1st
Language : English
ISBN-13 : 9781786466365
Category :
Data
Concepts :
Business Intelligence
Tools :
Amazon QuickSight

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR

Contact Details

Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to Russia

Economy delivery 10 - 13 business days

$6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Publication date : Mar 10, 2017
Length: 262 pages
Edition : 1st
Language : English
ISBN-13 : 9781786466365
Category :
Data
Concepts :
Business Intelligence
Tools :
Amazon QuickSight

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
START FREE TRIAL
BUY NOW
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
START FREE TRIAL
BUY NOW
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
START FREE TRIAL
BUY NOW

Frequently bought together

D3.js 4.x Data Visualization
D3.js 4.x Data Visualization
Read more
Apr 2017 308 pages
Full star icon 2 (2)
eBook
eBook
  • eBook eBook $24.99
  • Paperback Paperback $43.99
$24.99 $35.99
$43.99
Effective Business Intelligence with QuickSight
Effective Business Intelligence with QuickSight
Read more
Mar 2017 262 pages
Full star icon 3 (2)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $48.99
$27.98 $39.99
$48.99
Data Visualization with D3 4.x Cookbook
Data Visualization with D3 4.x Cookbook
Read more
Feb 2017 380 pages
Full star icon 2.3 (3)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $48.99
$27.98 $39.99
$48.99
Stars icon
Total $ 141.97
D3.js 4.x Data Visualization
$43.99
Effective Business Intelligence with QuickSight
$48.99
Data Visualization with D3 4.x Cookbook
$48.99
Total $ 141.97 Stars icon
Banner background image

Table of Contents

8 Chapters
1. A Quick Start to QuickSight Chevron down icon Chevron up icon
1. A Quick Start to QuickSight
Era of big data
Current BI landscape
Typical process to build visualizations
Rise of cloud BI services
Overview of QuickSight
How is QuickSight different to other BI tools?
High level BI solution architecture with QuickSight
Getting started with QuickSight
Building your first analysis under 60 seconds
Summary
2. Exploring Any Data Chevron down icon Chevron up icon
2. Exploring Any Data
AWS big data ecosystem
Supported data sources
Supported data types
Supported data sizes
Use case review
Permissions on AWS resources
Loading text files to QuickSight
Loading MySQL data to QuickSight using the AWS pipeline
Loading Redshift data to QuickSight
Loading data from Athena to QuickSight
Loading data from Salesforce to QuickSight
Editing existing datasets
Summary
3. SPICE up Your Data Chevron down icon Chevron up icon
3. SPICE up Your Data
SPICE - overview and architecture
Importing data into SPICE
Joining data in SPICE
Enriching your data
Filtering data using SPICE
Summary
4. Intuitive Visualizations Chevron down icon Chevron up icon
4. Intuitive Visualizations
From data to visualization using QuickSight
Building analyses from datasets
Building effective visuals
Deleting a visual
Telling a story
Sharing dashboards
Deleting a dashboard
Summary
5. Secure Your Environment Chevron down icon Chevron up icon
5. Secure Your Environment
Managing users and access
Managing QuickSight permissions on AWS resources
Authorizing connections from QuickSight to AWS data sources
Closing a QuickSight account
Summary
6. QuickSight Mobile Chevron down icon Chevron up icon
6. QuickSight Mobile
Installing QuickSight
Dashboards on the go
Analyses on the go
Stories on the go
Advanced options for the QuickSight mobile app
Summary
7. Big Data Analytics Mini Project Chevron down icon Chevron up icon
7. Big Data Analytics Mini Project
Overview of AWS Data Lake solution
AWS Data Lake architecture
A mini project on AWS Data Lake
Additional data lake features
Summary
8. QuickSight Product Shortcomings Chevron down icon Chevron up icon
8. QuickSight Product Shortcomings
QuickSight product features
Features lacking in QuickSight
Accessing the user guide
Providing feedback
Summary

Recommendations for you

Left arrow icon
Python Machine Learning By Example
Python Machine Learning By Example
Read more
Jul 2024 518 pages
Full star icon 4.9 (8)
eBook
eBook
  • eBook eBook $24.99
  • Paperback Paperback $31.99
$24.99 $36.99
$31.99 $45.99
Unlocking Data with Generative AI and RAG
Unlocking Data with Generative AI and RAG
Read more
Sep 2024 346 pages
eBook
eBook
  • eBook eBook $21.99
  • Paperback Paperback $27.98
$21.99 $31.99
$27.98 $39.99
Building LLM Powered Applications
Building LLM Powered Applications
Read more
May 2024 342 pages
Full star icon 4.2 (22)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $34.98
$27.98 $39.99
$34.98 $49.99
Python for Algorithmic Trading Cookbook
Python for Algorithmic Trading Cookbook
Read more
Aug 2024 404 pages
Full star icon 4.6 (15)
eBook
eBook
  • eBook eBook $32.99
  • Paperback Paperback $41.98
$32.99 $47.99
$41.98 $59.99
Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn
Read more
Feb 2022 774 pages
Full star icon 4.4 (95)
eBook
eBook
  • eBook eBook $29.99
  • Paperback Paperback $54.99
$29.99 $43.99
$54.99
RAG-Driven Generative AI
RAG-Driven Generative AI
Read more
Sep 2024 334 pages
Full star icon 4.5 (13)
eBook
eBook
  • eBook eBook $24.99
  • Paperback Paperback $43.99
$24.99 $35.99
$43.99
Artificial Intelligence Engines
Artificial Intelligence Engines
Read more
Nov 2024 217 pages
eBook
eBook
  • eBook eBook $6.98
$6.98 $9.99
AI Product Manager's Handbook
AI Product Manager's Handbook
Read more
Nov 2024 484 pages
Paperback eBook
Hands-On Reinforcement Learning with Python
Hands-On Reinforcement Learning with Python
Read more
Jun 2018 318 pages
Full star icon 2.6 (18)
eBook
eBook
  • eBook eBook $20.98
  • Paperback Paperback $38.99
$20.98 $29.99
$38.99
LLM Engineer's Handbook
LLM Engineer's Handbook
Read more
Oct 2024 522 pages
Full star icon 4.8 (13)
eBook
eBook
  • eBook eBook $47.99
  • Paperback Paperback $59.99
$47.99
$59.99
Right arrow icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(2 Ratings)
5 star 50%
4 star 0%
3 star 0%
2 star 0%
1 star 50%
A. Zubarev Mar 16, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A great book for those who want to explore ways to depart from the legacy Business Intelligence and explore how QuickSight fits on its own or as part of the vast Amazon Web Services ecosystem.Reading this book first hand has helped me to dispel my fears of the Business Intelligence being a stranger to the Cloud. Turned out, it is quite the opposite, yet, I am personally thrilled now about what is coming out of the Cloud next and what it is ultimately capable of.The author delivers the content in a calm and friendly manner, and provides with info on the latest additions to the product, as well as its road map.The technical level of the book does not require a reader to be at an intimate level with any specific Business Intelligence offerings.Grab a copy and see where and how it may fit in your organization.
Amazon Verified review Amazon
Manwender Singh Nov 21, 2023
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
Not worth investing
Amazon Verified review Amazon

People who bought this also bought

Left arrow icon
Machine Learning Engineering with Python
Machine Learning Engineering with Python
Read more
Aug 2023 462 pages
Full star icon 4.6 (36)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Deep Learning with TensorFlow and Keras – 3rd edition
Deep Learning with TensorFlow and Keras – 3rd edition
Read more
Oct 2022 698 pages
Full star icon 4.6 (45)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Modern Generative AI with ChatGPT and OpenAI Models
Modern Generative AI with ChatGPT and OpenAI Models
Read more
May 2023 286 pages
Full star icon 4.2 (34)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Generative AI with LangChain
Generative AI with LangChain
Read more
Dec 2023 368 pages
Full star icon 4 (34)
eBook
eBook
  • eBook eBook $27.98
  • Paperback Paperback $49.99
$27.98 $39.99
$49.99
Causal Inference and Discovery in Python
Causal Inference and Discovery in Python
Read more
May 2023 456 pages
Full star icon 4.5 (49)
eBook
eBook
  • eBook eBook $21.99
  • Paperback Paperback $27.98
$21.99 $31.99
$27.98 $39.99
Right arrow icon

About the author

Profile icon Nadipalli
Nadipalli
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. https://www.linkedin.com/in/nadipalli/
Read more
See other products by Nadipalli
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact [email protected] with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at [email protected] using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on [email protected] within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on [email protected] who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela