Improving Efficiency by Eliminating System Redundancies and Ensuring Data Interconnectivity

Woori Bank Builds Hybrid System Combining Big Data Platform and EDW View original image


[Asia Economy Reporter Kim Hyojin] Woori Bank announced on the 3rd that it has successfully completed a project to build a hybrid data warehouse (DW) architecture by combining a big data platform and an enterprise data warehouse (EDW), becoming the first domestic bank to do so.


This project is an advancement of the existing big data system to respond to changing financial consumer trends and the competitive environment in the financial sector. Woori Bank evaluates that this construction will enable proactive responses to data openness, cloud service expansion, and MyData business, which are gaining attention following the passage of the Data 3 Act.


Woori Bank newly built a data lake by integrating the Hadoop distributed information storage system with the existing EDW, allowing storage of diverse and large amounts of information. Through this, it resolved resource waste caused by duplicate data storage and increased speed by more than 50% in data analysis, design, and service implementation.


The data storage capacity was also expanded. Woori Bank transferred data previously accumulated using tape storage methods to the Hadoop system, reducing data management costs and enabling efficient use of past data.



A Woori Bank official said, “This is the infrastructure preparation process to utilize big data, which is the foundation for future core industry growth, through the innovative construction of a hybrid DW,” adding, “We will prepare ultra-personalized financial services tailored to customers by integrating big data and artificial intelligence (AI).”


This content was produced with the assistance of AI translation services.

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