Client Background
Challenge
The client’s data processing system had been built over two decades across multiple lines of business with over seven thousand data pipelines. These pipelines/workflows carried out extract, transform, and load of data as well as various analytical calculations, which was then stored in the enterprise data warehouse. The legacy system had scalability issues, as the throughput was not adequate to meet the client’s growth plans. The tool also had low adaptability to new big data technologies. To add to that, the customer was paying millions of dollars as license cost for the legacy product.
The client was bracing for more sophisticated fraud detection, enhanced security protection, etc. and this required additional data processing for new data attributes being captured, real time data processing and quicker turnaround time.
Solution
Wipro built a new platform on Spark, the open source data processing framework, using Java/Scala due to its ability to scale up easily as well as process high and varied data volumes within a limited time.
The solution components included:
Business Impact
The transformation to Spark platform enabled the client with a comprehensive framework to manage big data processing and sophisticated analytics with speed and flexibility.
This led to a number of benefits, both short term, and long term:
The new Big Data platform provided the customer the processing power required to minutely analyze the data and capture every aspect of the dynamics of the business. The company is geared for future business expansion as it is no more restricted by the computational power of the system.
Judhajit Senmazumdar, Director - Data Analytics & AI - Global Sales, Wipro
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© 2022 Wipro Limited |
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