Author This blog post was authored by Todd Schraml. Unify the Enterprise With Data Modeling Acting locally can be very different than acting...
data modeler
Why Data Model? Part 3: We Data Model to be Efficient Developers
Author This blog post was authored by Todd Schraml. Why Are Logical Data Models So Important? The logical data model is the foundational artifact...
Learn about modern data architecture
The data warehouse is an established concept and discipline that is discussed in books, conferences, and seminars. Indeed, data warehouses are a...
Discover why data modeling is data governance
Data modeling is data governance. We define data governance as the execution and enforcement of authority over the definition, production, and usage...
Understand the return on investment (ROI) in data modeling
For over three decades now, data modeling has been the leading discipline for understanding business data requirements and representing them in a...
Agile data modeling is not an option but essential
The time has passed when data models could hide in an ivory tower (IT) and locked behind bars only for the IT in‐crowd to be consulted. It is their...
Model data for MongoDB and JSON
Data modeling produces a set of structures for a relational database management system (RDBMS). First, we build the conceptual data model (CDM) to...
Ensure a sustainable architecture for data analytics
Today, you cannot pick up a magazine, read a blog, or hear a webcast without the mention of big data. It has had a profound effect on our...
Agile versus fragile data modeling workflow
Many data modelers are finding out that their traditional data modeling processes are not a good fit for modern software development methods, such...
Build stronger data architecture teams
When teams work together with a common goal and a passion for success, their projects succeed. When the opposite occurs, everyone loses, including...
Improve data modeling for better data governance
Are your data models supporting data governance? Most data professionals have been involved in data governance programs in our careers. These...
Master data modeling for master data domains
Greater dependence on enterprise-class applications has created a demand for centralizing organizational data in their support. Imperatives such as...
Make the most of your metadata
Metadata management is not a new concept. However, it is gaining new adherents as we recognize the value of enterprise data governance. We may have...
Empower operational data governance with data lineage
Much of the conventional guidance about implementing a data governance program focuses on organizational structure and the protocols for defining...
Enable customer business intelligence with data catalogs, business glossaries, and data governance
For over three decades, organizations have relied on data warehouses to support the needs for descriptive analytics of business information...
Align data governance with business-driven data architecture
The role of the data analyst has gained prominence in relation to the recognized criticality of processed and analyzed information as an integral...
How Data Modeling Will Help Your Business
In today’s data-centric business environment, an organization’s information stores are one of its most important assets. Attaining a...
Demystifying Macros with ER/Studio
In the webinar, Demystifying Macros with ER/Studio, Embarcadero Software Consultant Stanley Chan demonstrated how macros work in ER/Studio. He...
Aligning Your Models for Master Data Management – by David Loshin
In my last post, I suggested that the conventional “facet” approach to designing master data models (in which each master domain is modeled,...
Improve Agility and Collaboration with ER/Studio XE7
On April 28, 2015, Embarcadero announced the XE7 release of our award-winning ER/Studio data modeling and architecture suite, with new features to...
Business-Oriented Conceptual Modeling for Master Data Entities – by David Loshin
In my previous post, we examined some of the challenges associated with developing data models for master data entities managed within an MDM...
The Evolution of Data Modeling – by Ron Huizenga
When we review the evolution of new data architecture and development methodologies, along with the corresponding changes in corporate culture, we...
The Challenge of Master Data Modeling – by David Loshin
I had a recent email exchange in which a customer was looking for guidance in developing data models for master data entities used across multiple...
Embrace the Future of Data Architecture: Make the Switch to ER/Studio
Sometimes you need to face the inevitable: the tool selected years ago is not the one you need for the future. Have you been struggling with...