Benefits

Single data integration 
Using AWS Glue, organizations can build and maintain a data pipeline using a single cloud service for data integration.
Cost efficiency
Optimize your AWS Cloud costs and keep your focus on data at any scale using the Serverless data integration capabilities of AWS Glue.
Automatic Code Generation
Leverage Glue’s AWS ETL (Extract, Transform, Load) feature to generate code automatically in Scala or Python – with the data location and path as the necessary input.
Support for multiple data processing methods
Use AWS Glue that supports various data processing methods and workloads – including ETL, ELT, Streaming, and Batch.
ETL data integration 
AWS Glue automates the data integration for ETL purposes – and automatically generates the required code for data transformation and loading.
Easy creation and monitoring of ETL jobs 
With AWS Glue Studio, utilize its GUI functionality to compose data transformation workflows and execute ETL jobs on its serverless ETL engine.

Top Use Cases

Event-based ETL pipelines 
Build event based ETL pipelines using AWS Glue that can run your ETL jobs for any new data. For example, use an AWS Lambda function to trigger your ETL jobs to run automatically whenever new data is available in Amazon S3. 
Unified data catalog
Use the AWS Glue Data Catalog functionality to quickly find and search across multiple AWS datasets without moving data sets. Provide available access to data catalogs for search and query using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.
Simplified ETL pipeline development
With AWS Glue, you can simplify ETL pipeline development by eliminating any infrastructure management using automatic provisioning. Consolidate all AWS data integration services into a single service.
Self-service data visuals
Use the AWS Glue DataBrew functionality to explore and experiment data directly from your data lakes, warehouses, and databases - including Amazon S3, Amazon Redshift, AWS Lake Formation, Amazon Aurora, and Amazon RDS.
Data exploration and preparation
By using interactive sessions, data engineers can now explore and prepare data using the IDE environment of AWS Glue or any notebook.
Elastic Views
Build elastic or materialized views using the AWS Glue Elastic Views Preview functionality. Supported targets include Amazon DynamoDB, Redshift, S3, OpenSearch Service, Aurora, and RDS. Later, it will support Amazon Aurora and Amazon RDS.

How It Works

Our Offers

$5000

/per year

POC

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Buy Plan

$5000

/per year

POC

Duis malesuada varius odio sodales iaculis commodo, nunc, ac eget. Feugiat ultricies facilisis at phasellus. Tincidunt sit mauris luctus aliquet volutpat. ed magna justo
Buy Plan

$5000

/per year

POC

Duis malesuada varius odio sodales iaculis commodo, nunc, ac eget. Feugiat ultricies facilisis at phasellus. Tincidunt sit mauris luctus aliquet volutpat. ed magna justo
Buy Plan

Our Case Studies

Read about how Agilisium solutions have enabled our customers to leverage the capabilities of AWS Glue for their business advantage.

Built A Unified Tableau Dashboard Migrated From DOMO

Learn how we Re-engineered & Migrated DOMO dashboards to Tableau in Snowflake, reducing 80% of Compute Time & 45% of TCO
Read Case Study

Improved the Retention Rate by 70% by delivering Personalized user recommendations for an American mass media house conglomerate

Viewership details of each user are captured from various partners such as Hulu, Youtube, AppleTV, etc. and stored in Redshift
Read Case Study

How a F500 Pharmaceutical Commercial Team achieved Data Democratization and reduced Drug Commercialization Cost by 30%

Agilisium used AWS services to rearchitect a commercial data lake and a data warehouse with end-to-end process automation
Read Case Study

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Read Case Study

How to get started?

AWS’ Migration Acceleration Program (MAP) is a comprehensive cloud-migration program designed to accelerate your cloud migration and modernization efforts with minimal costs. AWS’ MAP outcome-driven methodology has been honed over thousands of enterprise migrations and created by AWS to reduce costs and break down the complexities of enterprise migrations.
Explore How Amazon Glue Can Unify Data with Cost Efficiency
Leverage the ETL capabilities of Amazon Glue to streamline your data processing. Partner with us to learn how our data engineers can help process data for ETL purposes.

Our most recent works

FAQs

What is AWS Glue and what is it used for?

AWS Glue is a serverless ETL data integration service that makes it easy to find, prepare, and merge data for data analytics, machine learning, and application development. AWS Glue simplifies ETL data integration with its user-friendly GUI tool.

What is serverless data integration?

Serverless data integration is a cloud-based event-driven process that simplifies the process of data preparation. Additionally, it can accelerate data preparation and make it affordable. Using serverless data integration, you can discover and connect to over 70 diverse data sources.

What are the benefits of using AWS glue?

Here are the main benefits of using AWS Glue:

  • Seamless onboarding into the AWS ecosystem
  • Rapid ETL data integration
  • Automated Data Integration 
  • Serverless architecture
What is cloud ETL?

Short for Extract, Transform and Load, ETL is the process comprising of:

  • Collecting and integrating data from different sources
  • Transforming and preparing data for effective analysis.
  • Loading the transformed data into a data warehouse for analysis.
What are the benefits of application modernization?

The benefits of application modernization include the following:

  • Compatibility with new technologies, code, and platforms.
  • Gain a competitive edge in the industry with the latest technology tools and platforms.
  • Business agility and scalability by rearchitecting the applications to cloud-native applications.
  • Maximum security and operational efficiency
  • Improved user experiences and customer satisfaction

Talk to Us
Got a question? Don’t hesitate to give us a call today or shoot us an email. 
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