Our client faced challenges with fragmented data, inefficient data warehousing, and limited reporting capabilities. Adding to the complexity, the ERP system impeded efficient data management.
The absence of this centralized data model hindered their ability to extract meaningful insights and strategic decision-making. So, the client sought a team of experts to address these challenges and implement a future-proof data framework.
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Solution: Simplifying data processes through AWS Glue integration
Our data architects implemented a comprehensive solution leveraging AWS Glue to implement efficient data model. Here’s what we implemented:
Data replication and transformation:
We leveraged AWS Database Migration Service (DMS) to seamlessly replicate data from ERP system (IBM DB2) to the AWS environment. Additionally, AWS Glue was employed for efficient data transformations, ensuring data compatibility and uniformity.
Automated data processing with Glue:
We implemented Glue jobs using dynamic notebooks and Python scripts to automate data processing. This dynamic approach adapted transformations based on metadata stored in Dynamo DB, improving overall efficiency and flexibility.
Vendor data integration:
Our team deployed AWS Glue crawlers to automatically identify and pick files loaded into S3 buckets by vendors. We also integrated data into the Glue catalog, for streamlined and efficient management.
Metadata-driven approach:
We adopted a metadata-driven strategy for Glue jobs, ensuring adaptability and scalability. The dynamic nature of these jobs enhanced efficient handling of diverse data sources in a streamlined manner.
Centralized data catalog:
To further enhance data management, we established a centralized Glue catalog. The catalog served as a centralized hub for structured data from various sources, improving overall data visibility.
Benefits: 83% streamlined data process and 78% improved data visibility
Our implementation leveraging AWS Glue yielded a multitude of benefits for the client:
- Centralized data management: Eliminated scattered data by centralizing data warehousing through a metadata-driven platform.
- Enhanced reporting capabilities: Enhanced decision-making with robust reporting mechanisms, improving overall data visibility.
- Efficient vendor data integration: Improved data handling efficiency by seamlessly integrating vendor data through Glue crawlers.
- Automated data processes: Reduced manual intervention and streamlined data processing by implementing Glue jobs.
Ready to simplify your data management process?
Our collaboration with Go Global showcases the transformative impact of AWS Glue solutions in addressing critical challenges within the insurance industry. By overcoming siloed data model and data handling challenges, we not only improved data visibility but also propelled Go Global into a future of heightened accuracy and competitiveness.
Embark on a journey towards a data-driven business model. Connect with us today to explore how our expertise can redefine your capabilities and position you as an industry leader.
Connect with us now to embark on a transformative journey.
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