Media company
Design and implementation of a hybrid Big Data & BI architecture
Starting point
- The analytical architecture landscape has reached the end of its lifecycle after 15 years of use
- Requirements from business departments for new access models, such as raw data access, cannot be met
- The existing data models in 3NF offer no flexibility for changes
- Requirements for processing streaming data cannot be met
Procedure
- Conducting requirements gathering and analysis with business and IT departments
- Conducting a scenario analysis to determine a suitable target architecture scenario
- Evaluation and pilot testing of suitable technological implementation options
- Creation of a target architecture blueprint and an architecture concept
- Implementation of a hybrid Big Data & BI architecture based on the architecture concept
Features/Project outcome
- Architectural foundation to meet the analytical requirements of business departments (Data Science & Streaming, Machine Learning)
- Multi-project environment, enabling parallel projects on a single technical platform
- DevOps-capable architecture to enable Continuous Deployment and Delivery
- Implementation of a future-proof analytical platform with cutting-edge technologies
- Implementation
Customer benefits
- High flexibility in expanding business-related data models
- Enabling projects to be carried out according to the DevOps paradigm
- Cost and error reduction through maximum automation and elimination of manual steps
- Possibility of integrating existing system components through a modular architecture blueprint
- Best-of-breed approach between open-source-based and proprietary software solutions
- Flexible access models for data of varying granularities and refinement levels

Jens Schnettler | Member of Executive Board