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ER/Studio has evolved in various ways over the past several releases. One of the key changes introduced in ER/Studio 2016 in January 2016 is the...
Embarcadero and the Object/Relational Mismatch – by Robin Bloor
The introduction of object-oriented (OO) programming languages provoked an unfortunate schism in the world of software development. Relational...
The Data Model Scorecard
Steve Hoberman is a presenter, consultant, and the author of seven books on data modeling, including the bestseller Data Modeling Made Simple. One...
Metadata Market Study Report
Recently, the Competence Center Corporate Data Quality (CC CDQ, a European consortium research program) engaged with Fraunhofer Institute for...
Data Modeling Tip for DBAs – by John Sterrett
Database Administrators (DBAs) are given so many different tasks from creating maintenance plans, upgrading databases, fighting performance...
The Hidden Elephant in ‘Big Data’ Modeling – by Len Silverston
The Elephant “We must understand the data and therefore continue to develop data models, even in this 'Big Data' era." exclaimed the data warehouse...
How Do You Collaborate on Enterprise Data?
As enterprise data environments become more complex, the need for full understanding of what the data means becomes more apparent. When you’re...
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...
Comprehensive Data Security Requires Metadata – by Rob Loranger
Anthem Inc. – 80,000,000 records stolen; Sony Pictures – 100 terabytes of data stolen; JP Morgan Chase – 70,000,000 records stolen; and EBay –...
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...
Integrating Data from Multiple Sources: Making Sense of Conformable Data – by David Loshin, Knowledge Integrity
This is the third post in this series. Read the previous post. In my last post, the discussion focused on the ability to infer metadata about...
The Future of ER/Studio: A Roadmap Outlook
Customers often ask us what we plan to do for future releases of ER/Studio. Many times we hold that information close, and only provide information...
Integrating Data from Multiple Sources: Inferring Source Metadata – by David Loshin, Knowledge Integrity
This is the second post in this series. Read the previous post and the next post. In my last post, we began to review the data element...
Integrating Data from Multiple Sources: The Challenge of Data Element Conformance – by David Loshin
This is the first post in this series. Read the next post. The continued fascination with expanding an organization’s analytics capabilities often...
The #1 Data Modeling Issue – Being ‘Dead’ Right – By Len Silverston, Universal Data Models, LLC
While many data modelers are very open minded and not righteous at all in their attitudes, over the years, I have heard the following statements...
Using Collaboration for Spreading Enterprise Knowledge – by David Loshin, Knowledge Integrity, Inc.
This is the last in a series of six posts on metadata collaboration from David Loshin. Read the previous post in the series. In my earlier...
Big Data = Bigger Need for Data Models – by Rob Loranger
Big Data has had a great impact on science, healthcare, government and many other industries. For instance, it is now possible for scientists to map...
Engaging the Business Users in Enterprise Semantics – by David Loshin, Knowledge Integrity, Inc.
This is the fifth in a series of six posts on metadata collaboration from David Loshin. Read the previous post and the next post in the...