Effective Business Intelligence with QuickSight

Rajesh Nadipalli

• Publisher: Packt Publishing
• Year: 2017
• eBook ISBN: 9781786465009
• Edition: 1
• Topic: Computer Science
• Subtopic: Data Modelling & Design
• Index: Computer Science

From data to actionable business insights using Amazon QuickSight!About This Book• 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 serviceWho This Book Is ForThis 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 capacityIn DetailAmazon 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.Style and approachThis book takes a fast-paced, example-driven approach to demonstrate the power of QuickSight to improve your business' efficiency. Every chapter is accompanied with a use case that shows the practical implementation of the step being explained.

Effective Business Intelligence with QuickSight

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Effective Business Intelligence with QuickSight

Copyright © 2017 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: March 2017

Production reference: 1030317

Published by Packt Publishing Ltd.

Livery Place

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Birmingham

B3 2PB, UK.

ISBN 978-1-78646-636-5

www.packtpub.com

Credits

Author Rajesh Nadipalli	Copy Editors Vikrant Phadkay Safis Editing
Reviewer Arthur Zubarev	Project Coordinator Nidhi Joshi
Commissioning Editor David Barnes	Proofreader Safis Editing
Acquisition Editor Ajith Menon	Indexer Tejal Daruwale Soni
Content Development Editor Aishwarya Pandere	Graphics Disha Haria
Technical Editor Dinesh Pawar	Production Coordinator Aparna Bhagat

About the Author

Rajesh Nadipalli is currently Director, Professional Services and Support at Zaloni, an award-wining provider of enterprise data lake management solutions that enables global clients to innovate and leverage big data for business impact. Rajesh leads Hadoop-based technical proof-of-concepts, strategy, solution architectures, and post-sales product support for his clients. His clientele includes AIG, NBCU, Verizon, Du, American Express, Netapp, Dell-EMC, United Health Group, and Cisco. In his previous role as the director of product management, he was leading the product strategy, roadmap, and feature definitions for Zaloni's Hadoop data management platform.

Throughout his 20 plus years in IT, Rajesh has had a passion for data and held various roles as big data architect, solutions architect, database administrator (DBA), business intelligence architect, and ETL developer. He believes in using technology as a strategic advantage for his clients by improving productivity, performance, and real-time insight to relevant data.

Rajesh is also the author of HDInsight Essentials, by Packt publishing, which takes you through the journey of building a modern data lake architecture using HDInsight, a Hadoop-based service that allows you to successfully manage high volume and velocity data in Azure Cloud.

He is a regular blogger and his articles are published in Zaloni blog, Datafloq, and Dzone sites.

He holds a MBA from North Carolina State University and a BS in EE from University of Mumbai, India.

I would like to thank my family and friends for their love, support, and encouragement; and special thanks to my wife, Manasa, and daughter, Geetika, who were always there for support and inspiration.

About the Reviewer

Arthur Zubarev is a data platform engineer who specializes in developing fast data pipelines, data acquisition, analysis, validation, performance tuning, data warehousing, and visualizations. His skills and passion include relational and NoSQL database engines, big data, cloud technologies, streaming data, IoT, social web, and general programming.

Arthur is a data platform MVP for the sixth year, a member of the Data Advisors group for Microsoft, R for Visual Studio beta tester, MCDBA, MCAD, and MCITP. He strives to be an early adopter of new technologies and likes to embrace technical challenges. In addition, he is a frequent presenter and event organizer.

I would like to thank my wonderful family for always understanding the importance of my contributions to the technical community, even if that occurred at the expense of our spare time. This has allowed me to effectively deliver as much timely feedback as I could to produce this fantastic book.

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• Effective Business Intelligence with QuickSight