Book Image

AWS for Solutions Architects

By : Alberto Artasanchez
3 (1)
Book Image

AWS for Solutions Architects

3 (1)
By: Alberto Artasanchez

Overview of this book

One of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects. AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples. By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.
Table of Contents (20 chapters)
1
Section 1: Exploring AWS
4
Section 2: AWS Service Offerings and Use Cases
11
Section 3: Applying Architectural Patterns and Reference Architectures
17
Section 4: Hands-On Labs

Data lake best practices

So far, in this section, we have spent our time discussing why it is so challenging to implement enterprise search to the same level of effectiveness as internet search engines such as Google. The rest of this section will discuss ways to overcome or mitigate these challenges. In addition, we will analyze best practices to improve the usability of your data lake implementation that will empower users to get their work done more efficiently and allow them to find what they need more quickly.

Machine learning

As we mentioned in the Google – the gold standard section, there is usually no real financial motivation for data stewards and curators in many organizations to optimize documents to make them easier to find. If you have a website, your livelihood depends on web surfers being able to find your site, engage, and take certain actions (such as reading your content, buying your product, watching your videos, and so on). In the enterprise, document...