Enhancement of Data Processing by Implementing Talend

A global leader in manufacturing services for the orthopedic industry, specializing in the design, development, and production of orthopedic implants, instruments, and innovative technologies. The organization serves companies in the medical device sector, with expertise spanning joint reconstruction, spinal, trauma, and dental products, ensuring high-quality solutions that meet the needs of healthcare providers and patients worldwide.

Business Challenge

The organization faced challenges with numerous data feeds from SQL Server, ERP products, and daily/weekly files. Currently, they utilize SSIS data flows to ingest this data. The operations teams required timely access to this data to process invoices, follow-ups, and reminders. Due to the high volume of source data and the nature of the SSIS processes, they struggled to meet established SLAs, resulting in losses from missed payment reminders and due calculations related to invoice data.

JRD Solution

Team JRD proposed a phase-wise approach to address these issues. During the analysis of the legacy processes, we identified that the main bottleneck stemmed from the batch-style sequential loading of data, where any error could halt the entire workflow. Additionally, the highly variable nature of the source data due to frequent updates in ERP systems overwhelmed the SSIS workflows.

To resolve these challenges, our data team provided Talend Cloud as an integration tool to replace the legacy SSIS code. We implemented a dynamic schema loading approach using Talend to accommodate any changes in the source data schema. The data loading process was structured into two stages: the first stage established a raw ingestion layer, while the second stage read from this raw layer and loaded into a curation layer represented by SQL data marts. The loading was converted to change data capture (CDC) where possible, rather than performing full refreshes, which significantly reduced load times and minimized system load failure issues. The Azure platform was utilized to run the Talend jobs, with the target SQL Server hosted on Azure, making Talend integral to addressing all integration-related challenges.

Key Benefits

  • Drastically reduced load times for data processing.
  • Decreased system data load failures through automation.
  • Easily scalable to handle growing data volumes with Azure cloud.
  • Resolved integration-related issues effectively.
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