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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

Product type Paperback

Published in Mar 2017

Publisher

ISBN-13 9781786466365

Length 262 pages

Edition 1st Edition

Tools

Amazon QuickSight

Concepts

Business Intelligence

Author (1):

Rajesh Nadipalli

View More author details

Table of Contents (9) Chapters

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

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

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Authors (1)

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/

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