Jorge Pablo Fernandez and Nicolette Bullivant explore Santander Bank’s Spendlytics app, which helps customers track their spending by offering a listing of transactions, transactions aggregations, and real-time enrichment based on the categorization of transactions depending on market and brands.
Jorge and Nicolette offer an overview Spendlytics’s architecture, focusing on how it helped reduce the cost of consultative requests. They also cover how the system was implemented for a resilient, highly available service, covering the solution put in place to meet the challenge of NRT, the use of a Lambda architecture in a real production system, the solutions used for responsive E2E, and the potential to use Kudu in the future. Along they way, they share the challenges encountered and lessons learned while implementing the app, as well as the residual issues found after the implementation and the improvements Santander is making to the platform.
Jorge Pablo is the head of data Hadoop applications on the Data Innovation team at Isban UK (Santander), where he is responsible for building the development team for Hadoop and bringing new technologies and methodologies to Santander UK.
Nicolette Bullivant is the head of data engineering at Santander UK Technology. A technical manager with 18 years’ experience in the IT services industry, she previously led large-scale multilocation change projects comprising data provision, managed MI and data warehouses, ETL, system integration, and IT alignment.
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