10 AWS Services for Data Engineers: Storage, Processing, and Analysis at Scale.

As more and more businesses move their data to the cloud, the role of a data engineer has become increasingly important. Data engineers are responsible for designing and implementing the infrastructure and systems that allow organizations to collect, store, and analyze their data. Amazon Web Services (AWS) being one of the most popular cloud platforms used by data engineers, providing a wide range of services for data processing, storage, and analytics. In this article, we will discuss AWS services that every data engineer should know about.

1. Amazon S3: Amazon S3 (Simple Storage Service) is a highly scalable object storage service that allows data engineers to store and retrieve data from anywhere on the web. It provides durable, secure, and scalable storage for any type of data, including structured and unstructured data.
2. Amazon QuickSight: Amazon QuickSight is a cloud-powered business intelligence service that allows you to create and share interactive dashboards and visualizations. QuickSight integrates with a variety of data sources, including Amazon S3, Redshift, and RDS, making it easy to analyze and visualize data from multiple sources.
3. Amazon Redshift: Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service. It allows data engineers to easily and securely analyze large amounts of data using SQL and business intelligence tools.
4. Amazon Kinesis: Amazon Kinesis is a platform…