Cloud Platform

Amazon Web Services

Overview

We architect scalable, cost-efficient data solutions on AWS. From S3 data lakes and Redshift warehouses to SageMaker ML pipelines and Lambda serverless functions, we leverage the full breadth of AWS services to build cloud-native data infrastructure that grows with your business.

Our Capabilities

1.S3 data lakes & lifecycle management

2.Redshift & Athena for data warehousing

3.SageMaker for ML model training & deployment

4.Glue ETL & Step Functions orchestration

5.Kinesis real-time data streaming

6.Lambda serverless data processing

7.CloudWatch monitoring & alerting

8.IAM security & compliance frameworks

Common Use Cases

1.Scalable data lake architecture

2.Real-time analytics pipelines

3.ML model training at scale

4.Cost-optimized batch processing

Want to leverage Amazon Web Services for your project?

Let's discuss how we can use Amazon Web Services to solve your specific data challenges.

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