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

Putting it all together

Now that we have learned about all the major components in AWS Glue, let's look at how all the pieces fit together. The following diagram illustrates this:

Figure 7.1 – AWS Glue typical workflow steps

In the preceding diagram, we see can the various steps that can take place when AWS Glue runs. The steps are explained in the following points:

  1. The first step is for the crawlers to scan these sources and extract metadata from them.
  2. This metadata can then be used to seed the AWS Glue Data Catalog.
  3. In turn, this metadata can be used by other AWS services such as Amazon Athena, Amazon Redshift Spectrum, and Amazon EMR. These services can be used to write queries against the ingested data using the metadata from the AWS Glue Data Catalog to build these queries.
  4. Finally, the results of these queries can be used for visualizations in other AWS services including Amazon QuickSight and Amazon SageMaker.
  5. ...