Accelerating data product development in data mesh
An overview of the role of smart data automation as a success factor in the data mesh approach to building a decentralized data architecture.
What is data mesh and what does it mean for analytical data management?
Data mesh has emerged in recent years as a new approach to sourcing, sharing, accessing, and managing analytical data at scale. It is a paradigm shift in how data is managed and governed within an organization.
Data mesh is an organizational approach to data management that emphasizes decentralization and autonomy. In a data mesh architecture, data is treated as a product, where individual teams are responsible for the quality, governance, and delivery of their own data products. This approach is designed to address the challenges of scaling data management in large, complex organizations, where traditional centralized approaches can become cumbersome and slow.
Advantages and drawbacks of data mesh
Factors to consider while deciding whether or not the data mesh approach is right for you.
In the past, in contrast to data mesh, central data lake or data warehouse approaches were pursued, which simplified or enabled data consolidation, data governance and, above all, the standardization of the technical implementation of the solution. However, these central approaches turn out to be far too inflexible and slow in an era of data democratization.
Decentralization along a data mesh is the logical consequence to gain speed again. However, the original challenges of the central approaches still exist and are even intensified by the strong decentralization in the data mesh.
Decisions that only have to be made once in a centralized approach have to be made many times in a distributed approach and also be adhered to and managed on a permanent basis. These are, for example:
- Decisions for the appropriate data platform and tools for ingestion, transformation and reporting or AI and ML.
- Architectures, implementation standards, and patterns for implementing data products to ensure performance, data quality, and data security.
- Mechanisms for the operation of data products, the ongoing loading and provisioning of data and troubleshooting during data processing.
- Methods and ways to accelerate the implementation of data products.
The decision for data platforms will often be decided on an IT strategic level. Provisioning of the data platform for the data teams or data products will also be done from central units for security reasons.
Smart data automation makes an indispensable contribution to compliance with implementation patterns, operating support and implementation acceleration, without which a decentralized approach such as data mesh can degenerate into a data disaster.
Ready to try data mesh?
Learn more about how biGENIUS can help.
Book a demoKey benefits of smart data automation for data mesh
Benefit from advanced data automation to mitigate the short-comings of decentralized approaches.
Streamlined data product data management
Data automation standardizes the process of data acquisition, transformation, and delivery in data products, dramatically reducing the effort required for governance of a distributed system.
Accurate Data according to the agreed service level
By automating processes such as data validation and quality checks, organizations can ensure that their data is up-to-date and accurate and data teams are able to operate data products efficiently in accordance with the agreed service level.
Consistent and secure data
Data automation ensures that data remains consistent and secure, reducing the risk of data inconsistency and ensuring compliance with regulatory requirements.
Increased efficiency and productivity
Data automation increases efficiency and productivity by reducing the time and effort required for manual data management tasks.
The versatility of biGENIUS completes your data analytics life cycle.
Click on the chart to see how biGENIUS compares to and work with your existing tools.
Trusted by organizations worldwide
What our customers are saying
See what industry leaders say about biGENIUS and their experience of working with us.
“Thanks to biGENIUS, we were able to lay the foundation for combining data from different sources into one report or dashboard.”
“The efficient DWH generator enabled us to achieve the required transparency with regard to marketplace performance within a very short time, in high quality and in compliance with BI best practices.”
“The biGENIUS team is knowledgeable about the inner workings of the application - stuff that you can't work out yourself as a customer.”
“For us, it's really a central tool that should do a lot in helping people have a standardized approach for the whole firm.”
“Since we have been using biGENIUS, we manage the development 100% internally. We did not only save a lot of money but, having built everything ourselves, we gained in efficiency as we are able to adapt any user requests right away.”
biGENIUS updates and industry insights
Stay updated on the biGENIUS application and get valuable insights on the development of data management technologies.
Start smart, with your data automation today.
Accelerate your applied intelligence workflow with comprehensive features that biGENIUS has to offer.