Nadipalli | Effective Business Intelligence with QuickSight | E-Book | www.sack.de
E-Book

E-Book, Englisch, 262 Seiten

Nadipalli Effective Business Intelligence with QuickSight

Boost your business IQ with Amazon QuickSight
1. Auflage 2025
ISBN: 978-1-78646-500-9
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Boost your business IQ with Amazon QuickSight

E-Book, Englisch, 262 Seiten

ISBN: 978-1-78646-500-9
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



From data to actionable business insights using Amazon QuickSight!Key Features - [*] 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
Book DescriptionAmazon 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. 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
Who 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.

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Nadipalli Rajesh :

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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