AWS Glue is a serverless data integration service that simplifies the entire operation of discovering, preparing, and combining data for application development, machine learning, and analytics. AWS Glue is designed to work with semi-structured data, and it facilitates all the data integration procedures so you can quickly put your merged data to good use.
Because of these capabilities, AWS Glue is technically described as a fully-managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores and data streams.
AWS Glue provides both visual and code-based interfaces to make data integration much easier. Users can easily find and access data using the AWS Glue Data Catalog. Data engineers and ETL (extract, transform, and load) developers can visually create, run, and monitor ETL workflows with a few clicks in AWS Glue Studio.
Features of AWS Glue
Automatic Schema Discover
Glue allows developers to automate crawlers to obtain schema-related information and store it in the data catalog, which can then be used to manage jobs.
Flexible Job Schedule
Glue jobs can be set and called on a flexible schedule, either by event-based triggers or on demand. Several jobs can be started in parallel, and users can specify dependencies between jobs.
Developers can use these to debug Glue, as well as creating custom readers, writers and transformations, which can then be imported into custom libraries.
Automatic Code Generation
The ETL process automatically generates code, and the only input necessary is a location/path for the data to be stored. The code is in either Scala or Python.
Integrated Data Catalog
Acts a singular metadata store of data from a disparate source in the AWS pipeline. An AWS account has one catalog.
AWS Glue Elastic Views makes it easy to build materialized views that combine and replicate data across multiple data stores without you having to write custom code.
Go Hassle-free with AWS Eco-System
AWS Glue is integrated across a wide range of AWS services, so it natively supports data stored in AWS cloud and this leads to reduced hassle while onboarding.
Faster Data Integration
Different groups across organization can use AWS Glue to work together on data integration tasks, his way, you reduce the time it takes to analyze your data and put it to use from months to minutes.
No Servers to Manage
AWS Glue runs serverless in cloud that there by no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs.
Automate your Data Integration at Scale
AWS Glue automates much of the effort required for data integration. It automatically generates the code to run your data transformations and loading processes.
Our ETL Processing & Data Integration Capabilities
- Integrate and extract large volumes of disparate data
- Transform structured and semi-structured enterprise data into easily analyzed formats
- Ensure data is clean, consistent, and available in real-time
- Track data lineage and apply data tests to confirm assumptions
- Load data into cloud-based data warehouses, data lakes, and BI Tools
- Access the data needed to accelerate AI/ML projects
- Simplify data management operations and automate administrative tasks
- Modernize your data architecture
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