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AWS Glue is a cloud-based, serverless data integration solution offered by Amazon Web Services. It is also known as a fully managed ETL data integration solution. It uses automated Extract, Transform, and Load processes to prepare data for analytics, machine learning, and application development.
Be it data discovery, data preparation, data movement, data integration, or formatting – AWS Glue covers and simplifies it all. With AWS Glue, you are able to discover and connect to over 100 data sources. It comes with built-in generative AI capabilities which, in turn, help you modernize your Apache Spark jobs.
What is AWS Glue used for?
Here we’ll talk about the top use cases for AWS Glue. Let’s look at them one by one:
Simplify Data Pipeline Development
With AWS Glue, you do not need to manage or set up the servers that run your data pipeline. It will automatically take care of scaling and assigning resources.
Working with Data in Real-Time
If you are a data engineer, you can use the integrated development environment (IDE) or their favorite notebook to work with data interactively. There’s no need to wait for scheduled jobs to run for testing or cleaning data.
Quick Data Discovery
Whether your data is stored on AWS, on your own servers, or in other cloud platforms – AWS Glue helps you find and organize that data in a hassle-free manner. All your data is cataloged and ready to be searched, queried, and transformed.
Data Workload Management
It doesn’t matter if you are processing data in large batches or working with real-time updates – AWS Glue is designed to adapt. Whether you prefer traditional ETL or newer ELT models, AWS Glue offers various ways of data transformation and loading.
AWS Glue Features
Here’s a list of AWS Glue’s best features:
ETL
Extract data from different sources &transform it by leveraging Python or Scala code with Apache Spark under the hood.
Serverless
Amazon Glue doesn’t require you to manage servers. It will automatically scale up or down based on your workload.
Glue Studio
Visual interface used for creating and monitoring ETL jobs without the need for writing a lot of code.
Glue DataBrew
This is meant for data analysts. It is a no-code, interactive data preparation tool.
Data Catalog
It is a central metadata repository inside AWS Glue that stores all kinds of information about your data like schemas and table definitions.
