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

AWS Glue best practices

As we have done with many of the other services covered in the book, we will now provide some recommendations on how to best architect the configuration of your AWS Glue jobs.

Amazon Athena, under the hood, uses the open source software Presto to process Data Manipulation Language (DML) statements and Apache Hive to process DDL statements. An example of a DML statement is a select statement and an example of a DDL statement is a create table statement.

Similarly, under the hood, AWS Glue runs its ETL jobs using Apache Spark.

Knowing that these are the underlying technologies used under the hood by these AWS services will enable you to better leverage and optimize your use of Amazon Athena and AWS Glue.

Choosing the right worker type

AWS Glue can execute with one of three different worker types. Worker types are also known as Data Processing Units (DPUs).

Each type has different advantages and disadvantages, and they should be chosen based...