Revolutionizing data operations with AWS: Migration for a leading adhesives manufacturer
Challenge
A large adhesives manufacturer sought to enhance their data capabilities by developing a machine learning predictive model and modernizing their data platform. Their existing system suffered from data performance bottlenecks and lacked process robustness, impacting multiple departments.
The client aimed to transition away from their current platform and build an in-house solution to address these challenges.
Solution
Fractal undertook a comprehensive project to implement the entire data processing lifecycle within the AWS cloud environment. Initially, the client’s Data Engineering (DE) processes were hosted on another cloud platform. To enhance efficiency and modernize their data platform, they decided to migrate to AWS.
Our team spearheaded the development of this new AWS-based data platform. We began by establishing a foundational layer that ingested data from the other cloud platform. This data was then seamlessly transferred to Amazon S3 and subsequently loaded into Amazon Redshift for data warehousing.
To leverage the power of machine learning for predictive analytics and data analysis, we built a dedicated ML layer utilizing Amazon EMR clusters. The entire data processing operation, encompassing the Extract-Transform-Load (ETL) pipeline, was meticulously engineered using a combination of AWS services:
- AWS Glue: Orchestrated the ETL strategy,
- Python: Integrated for executing machine learning model codes,
- AWS S3: Served as the data staging layer,
- Amazon Redshift: Hosted the final processed data,
- Terraform: Managed infrastructure provisioning and configuration,
- EventBridge: Scheduled and executed the entire data processing workflow.
This collaborative effort resulted in a robust and efficient data platform that effectively leverages the capabilities of the AWS cloud ecosystem.
Results
Fractal’s solutions leveraging the AWS services led to significant results for the client, which include:
- Reduced operational cost: Leveraging Fractal’s solution helped the client reduce the overall operational cost, resulting in significant cost savings.
- Enhanced data load performance: Improvement in data load execution times led to faster insights and improved time-to-market.
- Automated deployments: Streamlining the deployment process with automated real-time data processing ensured consistent and efficient operations for the client.
- Simplified billing and management: Leveraging AWS native tools and services provided transparency and ease of management through a centralized billing system.