Data only becomes information through processing and analysis, and only then does the raw material data acquire its value. Data modeling is an essential discipline for laying the right foundation for the future.
Data only becomes information through processing and analysis, and only then does the raw material data acquire its value. Data modeling is an essential discipline for laying the right foundation for the future.
Today, there is no longer a universal approach to data modeling. The goals are too diverse for that. It should always be performant – but performant in what? In development, in loading, in querying? The data pool should be flexibly usable and flexibly expandable – but what does that mean? saracus has extensive experience and uses the method that leads to the goal for each task.
Making the right choice
Multidimensional modeling – building the right model for your BI tool
Star and SnowFlake – optimization of relational databases for analysis and reporting
Data Vault – simple standardization and automation are the focus of the core layer
Anchor modeling – combining business orientation, generics and flexibility in the core layer
Key-Value Tables – Building Blocks for Data Analytics Applications
Classic 3NF modeling – for various purposes, capture modules, metadata storage and others.
Over the last 30 years, saracus has supported many customers in their projects and applied the entire spectrum of data modeling. We choose the right modeling method from a holistic point of view. It should not just fit one single tool. The entire process ranging from data extraction to evaluation and analysis must be considered. And the future must be looked at with a sense of perspective.
synvert saracus looks at modeling tasks from the perspective of the overall analytical platform. Certainly, evaluation tools also provide ways of optimization – but aligning everything according to one software would be fraught with risks. The point is to set the course in the right context so that it can be used just as efficiently with new data, new goals, new users and other tools.
Based on the experience gained from a multitude of projects, synvert saracus supports projects from the analysis of business requirements, through conceptual design and data modeling, to the analysis of the data. The goal determines the path and synvert saracus knows the tools that are needed along the way.
synvert saracus has developed standardized frameworks for the individual modeling methods. This makes it possible to safely transfer pilot experiences to the broader picture. Combined with organizational approaches such as data stewards or data meshes, the most universal possible transformation of data into knowledge and benefits will succeed.
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