AWS Glue
Serverless Data Integration at Scale – Customize and Monitor Large Data Streams
Data integration is made much easier and simpler with AWS Glue, a serverless data integration and Extract, Transform, Load (ETL) service that helps find, prepare, migrate, and integrate data from various sources. With AWS Glue, we enable provisioning and easy management of resources needed to run workloads. AWS Glue creates the infrastructure for an ETL tool and saves time and resources for creating one. It also helps read and write data from multiple databases and systems such as Amazon S3, Amazon Redshift, Amazon DynamoDB and so on.
User can locate and retrieve data with ease using the AWS Glue Data Catalog and AWS Glue facilitates orchestration, customization and monitoring of large and complex data streams.
Key Benefits
AWS Glue makes it cost efficient, faster and simpler to prepare data and to easily create ETL pipelines to load data into data lakes
Easy integration
One stop serverless integration service for building and managing data pipelines
Low costs
Fully managed,
serverless and pay
only for consumed resources
Flexibility in Scaling
Automatically resize computing resources with easy configuring, low costs, & monitoring
Orchestration
Removes the need to setup or maintain infrastructure for ETL execution & simplifies logging & alerts
Build your Data Strategy on AWS Glue with Ease And Expertise
AWS Glue Use Cases
Efficient data discovery
Fast and efficient data identification across AWS, multi cloud and on premise for querying & transformation
Event driven ETL pipeline
Quickly trigger an ETL job the instant data is available in Amazon S3 by launching AWS Glue ETL jobs using an AWS Lambda function
Efficient log analysis
Easily analyze log data in your data warehouse with ETL scripts to transform and enrich data from the source to target
How We Bring Value – Our Case Studies
Digital Entertainment
Big Data and Analytics
Dalmia Cement (Bharat) Ltd
Big Data and Analytics
Healthcare
Big Data and Analytics
