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...
The Future of ER/Studio: A Roadmap Outlook
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Joy Ruff
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...
Collaboration Principles and Universal Data Models – By Len Silverston, Universal Data Models, LLC
Once upon a time, there were four expert data modelers engaged on an enterprise data modeling effort. There was also an additional expert data...
The 3Vs may require NoSQL, but data modeling is still required – by Rob Loranger
We live in an exciting time where technology is entering our lives in areas that many of us never expected. For example, at home, once unintelligent...
Three Facets of Metadata: Structure, Content, Meaning – by David Loshin, Knowledge Integrity, Inc.
Metadata Integration
The operational culture of the enterprise has gradually shifted towards a more business-centric model, one where business users and front line...
The Metadata Conundrum – by David Loshin
This is the second in a series of six posts from David Loshin. Read the previous post and the next post in the series. In my last...
Enterprise Data Confusion – Did We Bring This Onto Ourselves? – authored by David Loshin, Knowledge Integrity, Inc.
This is the first in a series of six posts from David Loshin. Read his next post. A few years back, I had the opportunity to work with...
Metadata Overview, by Ron Huizenga
What is Metadata? The term “Metadata” arises frequently when discussing Data Architecture. In short, it is “data about data.” However,...
Seven Deadly Sins of Database Design
If you don’t get the data right, nothing else matters. However, the business focus on applications often overshadows the priority for a...