ING was one of the early adopters of the DevOps movement. Currently, there is a lot of expertise in the organization, and ING’s methods, tools, and HR all cater to DevOps. In the analytics area, these best practices are the basis of a modern and stable architecture where data engineers, operations, and data scientists work together with business people on daily basis. The technology stack includes Hadoop, Spark, Flink, Kafka, Cassandra, and several IBM tools.
Giuseppe D’alessio details ING’s DevOps journey, covering its impact on people, processes and tools, best practices, and pitfalls. Giuseppe concludes by sharing two use cases built on top of these capabilities: Actionable Insights, a Flink streaming application delivering personal and relevant insights to ING’s customers, and ZendING, a Spark batch application which process millions of records on a daily basis. Join in to gain an overview of this interesting enterprise environment.
Giuseppe D’alessio is a data engineer and chapter lead in the Analytics Department at ING. During his time at ING, he has worked on several international projects in data analytics and security; currently, he’s lead for the fast data chapter on streaming applications that make customer communication extremely personalized and relevant. Giuseppe holds a master’s degree in computer engineering with a focus on artificial intelligence, pattern recognition, and software development.
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