Data management & data architecture
The foundation for every data-driven company is a sound data management. The potential of Big Data can only be fully exploited with thorough master data management, good data quality and reliable data integration processes.
We use the approach of data modeling according to Data Vault in order to store the heterogeneous data of source systems centrally and harmonized in the data warehouse. The DWH and its documentation are automated. We help you identify the right fields of application for the available technologies, frameworks and tools within your company.
Today companies can harness an almost unlimited amount of structured and unstructured data from new sources. Streaming data, sensor data or open data sources offer many new possibilities for value-adding data analytics. This requires a flexible and scalable data architecture.
The experts at Woodmark Consulting support you in developing sustainable big data architectures and in integrating them into existing Classic BI architecture landscapes.
Software and system evaluation
We develop customer-specific and agile approaches for data strategy and BI projects. As part of a thorough software and system evaluation, we also check whether the infrastructure currently in use and the applications selected meet the requirements of your company.
Technology selection & implementation
Our range of services includes the design and implementation of data lake and hybrid architectures. In addition, we offer big data and cloud technology consulting, support the software selection process as well as the development and implementation of various technologies and high performance databases such as Exasol.
We can help implement streaming solutions for real-time analytics and the connection with Big Data and BI system landscapes and offer solutions for the operation and maintenance of complex cluster systems.
Our services for data management & data architecture
- Review and audit of BI, big data and data analytics landscapes
- Design of DWH & Data Lake Architectures
- Data virtualization
- Data warehouse automation
- Streaming and batch data processing
- Data Technology Scouting
- DWH Technology
- Architecture Design Pattern (Lambda, Kappa, 3-Tier, Hub & Spoke and microservice architecture)
- Architecture best practice