- September 23
- 9 min
What is a common data model?
With a common data model, applications from various sources can access and interpret the same batch of information. This approach enables uniform metadata and standardized schemas that define items such as entities, attributes, semantic metadata, and connections between entries – all designed to facilitate efficient sharing among systems.
What is a common data model used for?
Through the Common Data Model, organizations can streamline their data and application development processes. By unifying all incoming data into a consistent form, businesses gain structural and semantic consistency across applications while ensuring faster deployment speed than ever before.
What is more? Common Data Model is a major component of ODI and with the Open Data Initiative, industry titans Microsoft, Adobe, and SAP made a powerful tool for businesses. This technology is transforming how companies move data between systems and build applications faster than ever before – all while gaining actionable insights from advanced analytics capabilities.
SAP and Azure are great mates, you can check what are the advantages of these two working together as one and how to get the best out of Azure for your business.
What are the most common database models?
#1. Flat model
In the flat database model, a two-dimensional organization of data elements provides an effective structure for understanding and analyzing values. It is generally understood that columns have a similar type of value and elements in a row should have a valuable relationship.
#2. Hierarchical model
The hierarchical data model provides a structured way to store and manage information that is related. Utilizing the sort field ensures records remain in order while being organized into tree-like structures beneath a root node. This type of database structure allows for one-to-many relationships between pieces of stored data and consequently requires unique retrieval techniques – making it an ideal choice when managing complicated systems or important datasets.
#3. Network model
The network structure database model is an innovative and highly connective system, allowing for multiple parents in a tree-like arrangement. This makes it distinct from the hierarchical form of traditional record filing systems, as it uses two fundamental elements: sets and records. Sets offer many connections between each individual record while preserving its unique status through circular linked lists where one parent can appear only once when children are allowed to be in more than once within any single set.
#4. Relational model
The relational database model focuses on providing independence from the database management system and is mostly used for microcomputer systems. There are three important components: domains (a set of values that can be inserted into the system), attributes (columns in tables) and relations (characterized as structured data stored in rows or tuples within tables).
With the use of Structured Query Language (SQL), the relational database model offers a powerful way to access and manipulate data stored in multiple tables. This model is especially useful when records contain values that are linked through relationships – allowing for deeper insight into this connected information.
#5. Dimensional model
The dimensional database model is a sophisticated way of storing data to enable its efficient summarization and online analytical processing. This system consists of one large table filled with facts as well as dimensions in a hierarchical structure, making it easy for users to analyze information through the use of OLAP queries. The star schema organizes its factual content into highly normalized tables which further simplifies user access when needed.
Why should you use a common data model?
Planning for success in your business can take many different forms. With three separate apps, each tailored to a specific area of expertise – materials, manufacturing and sales – you’ll have the power necessary to optimize every step along the way. The structures are uniquely crafted with nearly similar definitions so that data consistency is guaranteed.
Thanks to the Common Data Model, you can ensure that your data is held in a consistent and proper format. This means different applications will be able to pull the same key elements quickly, accurately, and with complete confidence – including any additional requirements specific to those apps’ functions. With your data already organized in the Common Data Model schema, developing a fourth app will be easy – you can focus on building out business logic without getting bogged down by complex transformations and tangled datasets.
Benefits of a common data model
Through an easy-to-understand visualization of all requirements, any potential opportunities or issues can be swiftly identified before development begins.
Good for EDA tools
By having a common data model, EDA tools can interact and exchange information between the early and late stages. This shift-left approach is advantageous for design convergence and predictability as upstream decisions are now taking into account the potential impacts of downstream effects such as routing delays or placement resulting in physical synthesis models that ensure accuracy with each step.
RTL design intent
It simplifies late-stage P&R and multi-bit re-banking by giving tools a clear direction instead of analyzing arbitrary logic structures. Additionally, creating common data models enable to store past experiences; approaches that produced unsuccessful results can be remembered and avoided in future cases.
Shorter time-to-market and customized strategies
Convergent design techniques offer a variety of advantages, from shorter time-to-market to decreased rework and ultimately greater lifetime profitability. Additionally, the use of an established common data model provides further opportunities for success as designers can customize their own strategies while still sharing both early and late-stage information effectively.
How you can secure your business better in our article about ISO 27001 and TISAX.
Common data services
With CDS, businesses are able to securely organize and access data used in applications such as Power Platform. This solution helps foster innovation by enabling organizations to maximize the value of their resources with reliable solutions that work across multiple products.
CDS for Apps
CDS for Apps brings data into a unified, organized format and stores it securely in MS Azure Data Lake. Thanks to this powerful service, businesses can develop custom applications quickly and they are tailored to their individual needs. Moreover, Dynamics 365, MS Flow, and PowerApps all have the capability of utilizing CDS for Apps’ robust capacity.
CDS for Analytics
CDS for Analytics provides companies with the tools to unlock data insights across their business systems. Using PowerBI and MS Azure Data Lake, organizations can get a holistic view of all available information using advanced analytics capabilities. Through this platform users will be able to gather insights quickly and easily connect them back to third-party applications ensuring that any organization always has access to up-to-date insight.
With shared facilities, users can unlock the power of data integration with Power Query Online – a technology that simplifies and streamlines incorporating multiple sources. It’s intuitive design allows users to easily discover, connect and refine information through its user-friendly interface – similar to what you would find on MS Excel or even in the Power BI Desktop.
Hicron as an IT Automotive partner
Hicron has been working with automotive companies for years. We have participated in a number of complex processes for Volvo where we implemented the SAP system taking into account local requirements for a new production unit in Kaluga. In addition, we cooperate with one of the Fortune 500 automotive groups, where since 2014 we have been responsible for the development and maintenance of the system.
See our case studies for more information about how we work!
- Performance-oriented solution for vehicle allocation in the cloud
- Optimized quality control of post-sales servicing for automotive giant
We have more than 16 years of experience in implementing SAP and Digital Automotive solutions. If you are interested in cooperation, visit our website to learn more about our offer.
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After carefully evaluating suppliers, we decided to try a new approach and start working with a near-shore software house. Cooperation with DSS from Hicron was something different, and it turned out to be a great success that brought added value to our company.
With HICRON’s creative ideas and fresh perspective, we reached a new level of our core platform and achieved our business goals.
Many thanks for what you did so far; we are looking forward to more in future!
Hicron is a partner who has provided excellent software development services. Their talented software engineers have a strong focus on collaboration and quality. They have helped us in achieving our goals across our cloud platforms at a good pace, without compromising on the quality of our services. Our partnership is professional and solution-focused!