Solution Brief : ER/Studio Data Architect
Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make
IT professionals are eager to deliver the benefits of well-managed enterprise architecture but have concerns about possible missteps along the way. Whether their organization is just starting out or experienced in enterprise data modeling efforts, there are certain pitfalls that can become obstacles to success. This paper looks at the benefits of an effective enterprise data modeling effort, as well as seven common mistakes that organizations can make in developing enterprise data models.
- Understand benefits of an effective enterprise data modeling effort
- Identify seven common mistakes that organizations can make in developing enterprise data models
- Resolve issues and deliver results to the business with ER/Studio
See Also:
- Webcast: 10 ER/Studio Productivity Tips to Help You Love Your Data Models
- Webcast: Making Connections: Enhance Data Models with ER/Studio 2016+
- Video: Agile Change Management in ER/Studio Data Architect Professional
- Video: Build a Logical Data Model with ER/Studio Data Architect
- Video: Data Modeling for Hadoop Hive with ER/Studio Data Architect
- Video: Data Modeling for MongoDB with ER/Studio Data Architect
- Video: Data Modeling Techniques for Teradata Users
- Video: Document a Database As Part of a Broader Data Modeling Initiative with ER/Studio
- Video: Why Should A Data Modeler Care About Business Processes?
- Datasheet: Model Hadoop Hive for the Hortonworks Data Platform (HDP)
- Solution Brief: MongoDB Data Modeling with ER/Studio
- Solution Brief: Importing ER/Studio Data Models into WhereScape 3D
- Case Study: Global Financial Services Organization Turns to ER/Studio for High-Performance Data Modeling
- Case Study: Microsoft Deploys ER/Studio to Establish an Enterprise Data Model
- Case Study: Newmont Mining Standardized their Data Modeling Practices with ER/Studio
Topics : Data Modeling,Metadata,
Products : ER/Studio Data Architect,ER/Studio Enterprise Team Edition,
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