DATA MART – Your experts for modern data architectures
Efficient and flexible data architectures are crucial to a company’s success. . We offer you consulting services tailored to your business requirements to take your data strategy to the next level.
We help you to find the perfect balance between centralised and decentralised infrastructure and processes, enable your teams with the necessary skills for self-service and exploit the full potential of your data.
Get non-binding advice now and shape your data future!
Data Lakehouse vs. Data Mesh
Data Lakehouse combines and integrates the best features of data lakes and data warehouses. It offers a standardised platform for storing and analysing structured and unstructured data. With a data lakehouse, companies can utilise the flexibility of a data lake while at the same time enjoying the performance and reliability of a data warehouse.
Data Mesh is a suitable, decentralised and organisational approach to data architecture. It promotes data ownership within the individual domains of an organisation and enables teams to create and manage their own data products. Data Mesh relies on the principles of domain-driven design and self-service to democratise data management and improve scalability.
We provide you with a wealth of methodical experience to make these projects a success.
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Organisation: New teams with new responsibilities and tasks
The introduction of Data Lakehouse with Data Mesh requires a restructuring of the organisation. New teams need to be formed to focus on managing and maintaining the data architecture. These teams will take on new tasks, such as creating and managing data products, ensuring data quality and implementing self-service solutions.
We support you in making this transition step by step, taking into account your existing knowledge base and employees.
Infrastructure: How much decentralisation suits the company?
The right balance between centralised and decentralised infrastructure and responsibility is crucial. While a data lakehouse provides a centralised platform, data mesh promotes the decentralisation of individual tasks and accelerates implementation.
We help you decide how much decentralisation suits your structure, organisation and goals. Our experts will help you to develop the optimal architecture to match your existing infrastructure.
Technology: the right skills for self-service
The implementation of self-service solutions requires specific technical and analytical skills. Our experts support your teams in acquiring and developing the necessary skills.
We offer training and workshops on the latest technologies and tools and enable your team to create and manage data products independently.
Modelling: data products as an architectural quantum
In the data mesh approach, data products are the central element of the data architecture. Each data product is designed as an independent, architectural quantum that is managed by the respective domain teams. The concept of the ‘architectural quantum’ means that each data product is an autonomous, scalable and responsible unit, similar to microservices in software development. This modelling enables clear accountability and improves data quality and availability.
We promote, together with your team, the decentralised responsibility as well as data- and process-ownership, higher data quality and better scalability – a key principle in the data mesh.
Data governance: the key to the success of data lakehouse and data mesh
Effective data governance is essential in order to realise the full potential of data lakehouses and data meshes. This requires clear, globally defined rules that ensure standards and regulations – but are also flexible enough to adapt to local circumstances.
We support you in developing a robust governance framework that masters this balance and future-proofs your data strategy.