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The relational data model has been around since the early 1970s, and it became popular for good reasons. In the form of SQL, it offers a general query language based on a rigorous data model.
“CA ERwin Data Modeler for SQL Azure is the latest example of CA Technologies commitment to helping customers fully capitalize on the cloud without needing special resources or skill sets ...
Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and ...
Data Modeling for Oracle Pros Oracle recently shipped its Oracle SQL Developer Data Modeler, which developers deploy with SQL Developer to provide all manner of data modeling features: visual ...
Best Data Modeling SolutionData modeling tools can help organizations create high quality data models that enable them to shape, organize, and standardize data infrastructure, change structures, and ...
Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.
Generating a predictive model can take hours using traditional data science methods. But Pecan enables analysts to quickly iterate and experiment by shortening that time to 15 minutes or less.
Create an inventory of data assets, including both cloud and on-premise databases, using a single visual interface; Migrate from on-premise databases, such as SQL Server, to cloud-based databases, ...
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