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Effective Business Intelligence with QuickSight

Título: Effective Business Intelligence with QuickSight

Autor: Rajesh Nadipalli

Sinopse: 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 service Who This Book Is 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 In Detail 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. Style and approach This 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.

Contexto da obra

Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Effective Business Intelligence with QuickSight”, de Rajesh Nadipalli, publicado pela editora Packt Publishing, em 2017 e com 262 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.

Editora: Packt Publishing

Páginas: 262

Ano: 2017

Edição:

Linguagem: pt_BR

ISBN:

ISBN13: 9781786466365

    Sobre a editora

    Os livros da editora Packt Publishing oferecem uma experiência de leitura focada em tecnologia aplicada, com ênfase em desenvolvimento de software, automação, segurança da informação e computação avançada. O catálogo privilegia abordagens práticas, muitas vezes estruturadas em formato de receitas ou tutoriais passo a passo, que facilitam a implementação imediata de soluções técnicas. As obras exploram desde a criação de aplicações web, mobile e de inteligência artificial, até a administração de sistemas e bancos de dados, contemplando também temas emergentes como computação quântica e Internet das Coisas.

    Ver mais sobre a editora

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