We’re less than two months away from DataWorks Summit Berlin (April 16-19)! We have a number of impressive keynote and breakout speakers lined up. One of these speakers is Nicolette Bullivant, Head of Data Engineering at Santander within the Big Compute and Storage track.
Santander UK is one of the UK’s leading personal financial services companies and one of the largest providers of mortgages and savings in the UK. The bank has circa 20,000 employees, 14 million active customers, with over 1,000 branches and 50 corporate business centers.
Trends in Financial Services
In the financial services industry, the focus is on minimizing risk and maximizing business opportunity. Banks, insurance companies, fintech financial services, and securities firms that store and process huge amounts of data in Apache Hadoop have better insight into both their risks and opportunities. The ability to trace, track and manage data globally is essential for delivering a superior customer experience, cost optimization, and proper risk control. Various use cases include screening new applicants for risk of default, monetizing anonymous banking data in secondary markets, and detecting money laundering activities.
Santander’s Big Data Journey
Santander UK’s Big Data journey began in 2014, using Hadoop to make the most of its data and generate value for customers. Within 9 months it had created a highly available real-time customer facing application for customer analytics. The company currently has 500 different people doing their own analysis and projects with this data, spanning a total of 50 different use cases. This data, (consisting of over 40 million customer records with billions of transactions), provides the business new insights that were inaccessible before.
Its business moves quickly, with several products and 20 use cases currently in production. The company currently has a customer data lake and a technical data lake. Having a platform with very different workloads has proven to be challenging.
The company’s success in generating value created such growth in terms of data, use cases, analysts and usage patterns that 3 years later it found issues with scalability and challenges with highly available architectures. Santander’s growth strategy going forward is to explore alternative solutions to its current data management structure.
Anticipating DataWorks Summit
Santander is looking forward to attending DataWorks Summit and speaking to its peers:
“What we look forward to most about DataWorks Summit is getting the opportunity to hear many different perspectives. Learning about other’s experience in production, how their teams are structured, and opening our eyes to what’s happening across the industry. It also helps us grow closer to the Apache community and connect with other businesses.”
Be sure to check out Santander’s session to learn about what technologies are in place and how the business continues to grow its Big Data journey. The session goal is to assist others in the early part of their journey to building a solid foundation. This will definitely be a breakout session you won’t want to miss! Register now and view all the abstracts here.
Bigdata and data center
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