Book Image

AWS for Solutions Architects - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed
4 (2)
Book Image

AWS for Solutions Architects - Second Edition

4 (2)
By: Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed

Overview of this book

Are you excited to harness the power of AWS and unlock endless possibilities for your business? Look no further than the second edition of AWS for Solutions Architects! Imagine crafting cloud solutions that are secure, scalable, and optimized – not just good, but industry-leading. This updated guide throws open the doors to the AWS Well-Architected Framework, design pillars, and cloud-native design patterns empowering you to craft secure, performant, and cost-effective cloud architectures. Tame the complexities of networking, conquering edge deployments and crafting seamless hybrid cloud connections. Uncover the secrets of big data and streaming with EMR, Glue, Kinesis, and MSK, extracting valuable insights from data at speeds you never thought possible. Future-proof your cloud with game-changing insights! New chapters unveil CloudOps, machine learning, IoT, and blockchain, empowering you to build transformative solutions. Plus, unlock the secrets of storage mastery, container excellence, and data lake patterns. From simple configurations to sophisticated architectures, this guide equips you with the knowledge to solve any cloud challenge and impress even the most demanding clients. This book is your one-stop shop for architecting industry-standard AWS solutions. Stop settling for average – dive in and build like a pro!
Table of Contents (19 chapters)
17
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18
Index

Visualizing data with Amazon QuickSight

Data is an organizational asset that needs to be available easily and securely to anyone who needs access. Data is no longer solely the property of analysts and scientists. Presenting data simply and visually enables teams to make better and more informed decisions, improve efficiency, uncover new opportunities, and drive innovation.

Most traditional on-premises business intelligence solutions come with a client-server architecture and have minimum licensing requirements. To start with business intelligence tools, you must sign up for annual commitments around users or servers, requiring upfront investments. You will need to build extensive monitoring and management, infrastructure growth, patches for software, and periodic data backups to keep your systems in compliance. On top of that, if you want to deliver data and insights to your customers and other third parties, this usually requires separate systems and tools for each audience.

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