Effective Business Intelligence with QuickSight oleh Rajesh Nadipalli

Key FeaturesA practical hands-on guide to improving your business with the power of BI and QuicksightImmerse yourself with an end-to-end journey for effective analytics using QuickSight and related servicesPacked with real-world examples with Solution Architectures needed for a cloud-powered Business Intelligence serviceBook 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 LearnSteps to test drive QuickSight and see how it fits in AWS big data eco systemLoad data from various sources such as S3, RDS, Redshift, Athena, and SalesForce and visualize using QuickSightUnderstand how to prepare data using QuickSight without the need of an IT developerBuild interactive charts, reports, dashboards, and storyboards using QuickSightAccess QuickSight using the mobile applicationArchitect and design for AWS Data Lake Solution, leveraging AWS hosted servicesBuild a big data project with step-by-step instructions for data collection, cataloguing, and analysisSecure your data used for QuickSight from S3, RedShift, and RDS instancesManage users, access controls, and SPICE capacityAbout the AuthorRajesh 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 Zalonis 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.Table of ContentsA Quick Start to QuickSightExploring Any DataSPICE up Your DataIntuitive VisualizationsSecure Your EnvironmentQuickSight MobileBig Data Analytics Mini ProjectQuickSight Product Shortcomings