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AWS for Solutions Architects

AWS for Solutions Architects - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed
4.3 (62)
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AWS for Solutions Architects

AWS for Solutions Architects

4.3 (62)
By: Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed

Overview of this book

The second edition of AWS for Solutions Architects provides a practical guide to designing cloud solutions that align with industry best practices. This updated edition covers the AWS Well-Architected Framework, core design principles, and cloud-native patterns to help you build secure, high-performance, and cost-effective architectures. Gain a deep understanding of AWS networking, hybrid cloud connectivity, and edge deployments. Explore big data processing with EMR, Glue, Kinesis, and MSK, enabling you to extract valuable insights from data efficiently. New chapters introduce CloudOps, machine learning, IoT, and blockchain, equipping you with the knowledge to develop modern cloud solutions. Learn how to optimize AWS storage, implement containerization strategies, and design scalable data lakes. Whether working on simple configurations or complex enterprise architectures, this guide provides the expertise needed to solve real-world cloud challenges and build reliable, high-performing AWS solutions.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Why use the cloud for big data analytics?

The definition of big data has changed drastically in the last 2 decades. Now, there is a massive amount of data coming from various sources. This data can be structured, unstructured, or semi-structured. We see large technology organizations, such as Amazon, Google, Meta, and so on, flourishing as they can get insight from user data and utilize it for customer benefits, thus growing their business multifold. IDC says, “The Global DataSphere is expected to more than double in size from 2022 to 2026,” (Source – https://www.idc.com/getdoc.jsp?containerId=US49018922).

Now, it’s normal for organizations to have multi-terabytes or petabytes of data, and you want to gain new insights to use the power of this collected data. You must easily access and analyze all data types, such as log files, clickstream data, voice, and video. But your team may require diverse skills and tools. You need to enable your team and applications...

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