Due to the combination of monolithic applications and individual solutions, the software architecture of credit institutions has a complexity that poses challenges for the implementation of digital transformation or regulatory measures. For the profitable integration of novel technologies, a preparation of the system architecture is necessary to adapt products and services to changing market conditions in the digital transformation ecosystem.

In order to prepare the existing system architecture for digital transformation, it is necessary to restructure the system architecture according to processing system components and presentation-oriented system components in order to supplement an orchestration layer, to enable participation in the service economy of digitization and to react quickly to changing market conditions and customer expectations by combining different system components or by adding service offerings from partners.

Use Case 1 | Streaming

  • Data streaming was already popular in the first decade of our century, but its popularity has skyrocketed since the open-source availability of Kafka.
Use Case 2 | Streaming - New Architecture Patterns

  • While pure streaming systems have certain drawbacks, some interesting architecture patterns have evolved through the combination of the need for streaming technology and batch processing.
  • The new architecture patterns, such as Lambda, Kappa and Delta Lake, are expressions of the business needs.
Book Series - Articles

The Digital Journey of Banking and Insurance, Volume III
» Architecture Patterns – Batch & Real-Time Capabilities

Use Case 3 | Data Tiering

  • For a Big Data scenario, the tandem SAP HANA and Hadoop is a good fit to cope with the future data challenges and make use of Hadoop as a data tiering platform for SAP HANA.
Buch: The Impact of Digital Transformation and FinTech on the Finance Professional

» In-Memory Databases and Their Impact on Our (Future) Organizations
» A Standard Framework for Computer Cluster

Book Series - Articles

The Digital Journey of Banking and Insurance, Volume III
» Data Tiering Options with SAP HANA and Usage in a Hadoop Scenario

Use Case 4 | Data & Data Storage

  • Data availability and data technology stimulate each other continuously. The internet has made mass data available for almost every important (and unimportant) subject. 
  • Driven by the business requirements, topic-specific database variants like graph databases or other NoSQL databases (document store, key-value store, object database, …) have been established in the market. 

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