Executive Summary
Hennessy Auto, metro Atlanta's leading luxury vehicle sales, service, and leasing company, partnered with ITTStar to implement AWS Data Lake implementation services that modernized its data ecosystem and enabled intelligent business decision-making. By building a scalable cloud-native data platform on AWS, the organization centralized structured and unstructured data, improved analytics capabilities, and established a strong foundation for future data modernization initiatives.
Customer Challenge
The organization required a cloud data lake for business analytics to consolidate vehicle marketplace data from multiple sources, enable secure data processing, and deliver real-time business intelligence. The AWS Data Lake architecture supports Amazon Athena, Amazon QuickSight, and Microsoft Power BI, providing scalable analytics and faster business insights.
Partner Solution
ITTStar implemented the solution to this project by solving mainly four requirements.
About the Customer
Hennessy Automobile Companies is the premier luxury vehicle sales, service, and leasing company in the metro Atlanta. They have a variety of luxury vehicles for different styles and occasions. They have a strong and dedicated sales team with years of experience meeting customer needs. Hennessy Automobile Companies not only sell vehicles but also provide after-purchase maintenance.
Why AWS?
AWS provides secure, reliable, scalable, and affordable cloud computing services. To leverage scalability, AWS can easily manage increasing workloads by allocating resources based on demand. Offering products ranging from hosting data in the cloud with S3 to logical isolation with Amazon VPC. AWS Lambda is designed to let you run your code without setting up and managing servers. AWS SQS (fully managed message queue) for communicating with Lambda based on events in S3.
New data comes into the input bucket in S3. Amazon S3 publishes events to an SQS queue and transfers data to the queue. Queued data is retrieved using AWS Lambda. Data is processed by Lambda and returned to the S3 output bucket. The same process is used and data is consumed from a local MS SQL Server.
Why Hennessy choose ITTStar?
Hennessy selected ITTStar for its expertise in enterprise data lake modernization using AWS cloud-native technologies. By combining scalable data architecture, serverless computing, and advanced analytics, ITTStar delivered a future-ready platform that supports business intelligence, operational efficiency, and long-term digital transformation.
As an AWS Select Partner, their understanding of how to integrate AWS services into their solutions, coupled with their fragmented approach to solving the overall business challenge, gave us confidence.