Overview
Transform raw data into actionable business intelligence. We help organizations build scalable, secure, and cost-effective data platforms on AWS.
Our Data Services
Data Warehousing
We design and run enterprise-grade warehouses on Amazon Redshift, with star and snowflake schemas tuned for your queries. That covers cluster setup, distribution keys, and concurrency scaling, plus reserved and spot instances so the warehouse stays cost-effective as usage grows.
Data Lakes
We build centralized data lakes on Amazon S3 as a durable storage foundation, with Lake Formation for secure sharing and fine-grained access control. Glue Crawlers keep the data catalog current, partitioning keeps queries fast, and lifecycle policies tier data automatically to control cost.
ETL Pipelines
We automate data movement and transformation with serverless ETL on AWS Glue and visual prep in DataBrew. Step Functions orchestrates complex workflows, with EventBridge for scheduled jobs and Lambda for event-driven, real-time processing.
Real-Time Analytics
We process and analyze data in motion with Amazon Kinesis and managed Kafka (MSK) for event streaming, backed by DynamoDB for high-throughput lookups, ElastiCache for low-latency caching, and Timestream for fast time-series queries.
Business Intelligence
We connect your existing BI tools to AWS so people can act on the data. That includes Amazon QuickSight for serverless and embedded analytics, plus direct integration with Tableau, Power BI, and Looker, and custom Grafana dashboards for operational metrics.
Data Platforms We Build
Customer 360
We unify customer data across every touchpoint by ingesting it from CRM, marketing, and support systems, then building a golden record of customer profiles. From there we enable real-time segmentation and personalization, with predictive analytics on Amazon SageMaker.
IoT Analytics
We process and analyze IoT device data at scale, ingesting millions of messages per second with real-time monitoring and alerting. That includes predictive maintenance models and geospatial analysis for location-aware use cases.
Log Analytics
We centralize and analyze operational data with CloudWatch Logs Insights, an ELK stack on AWS, or Splunk integration. Where budgets are tight, we also set up cost-effective alternatives with OpenSearch that cover the same needs.
Technology Stack
| Service | Use Case |
|---|---|
| S3 | Data lake storage |
| Redshift | Data warehousing |
| Athena | Serverless SQL queries |
| Glue | ETL and data catalog |
| Kinesis | Stream processing |
| MSK | Event streaming |
| DynamoDB | NoSQL database |
| Elasticache | Caching layer |
| QuickSight | BI dashboards |
| SageMaker | Machine learning |
Why CloudVantage
As an AWS Partner, we help you turn scattered data into something your team can actually use. We build data lakes, pipelines, and dashboards on AWS, sized to where you are today and designed to grow, so decisions stop depending on whoever remembers to pull the latest export.