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Parallax Acquires Data Modeling Solution ERwin from CA Technologies

By   /  April 7, 2016  /  Data Daily | Data News, Data Education, Data Modeling News, Data Modeling News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

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by Angela Guess A recent article out of the company reports, “Private equity firm Parallax Capital Partners today announced that it has completed the acquisition of data modeling software ERwin from CA Technologies (Nasdaq: CA). It will now operate as ERwin, Inc., and will be led by IT industry veteran Adam Famularo, who today has […]

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A Conceptual Data Model is Physical

By   /  February 24, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education  /  2 Comments

Donna Burbank

Click here to learn more about Donna Burbank. Conceptual data models are a tool that I use frequently in my consulting practice, and I’ve found them invaluable as a way to communicate technical information concepts to a business audience. But, too often, the term “conceptual data model” comes with some negative baggage. Perhaps it is the […]

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Glassbeam Unveils Data Transformation and Edge Computing Capabilities for Its IoT Platform

By   /  February 17, 2016  /  Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

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by Angela Guess According to a new article out of the company, “Glassbeam, Inc., the machine data analytics company, announced today two revolutionary product enhancements for the IoT analytics market. Glassbeam Studio™ is the IoT industry’s first data transformation and preparation tool focused on automating cumbersome manual work required to convert raw machine log data into […]

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Operational Data Model Quality

By   /  February 12, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Data Modeling Blogs, Data Modeling News, Articles, & Education  /  No Comments

Michael Blaha

Click to learn more about author Michael Blaha. Quality is an underappreciated aspect of data models. The purpose of a model is not just to capture the business requirements, but also to represent them well. A high quality model lessens the complexity of development, reduces the likelihood of bugs, and enhances the ability of a […]

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Embarcadero Announces ER/Studio 2016 with Expanded Data Modeling

By   /  January 20, 2016  /  Data Daily | Data News, Data Education, Data Modeling News, Data Modeling News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

Embarcadero Featured Image

by Angela Guess A new article out of the company reports, “Embarcadero Technologies (recently acquired by IDERA), a leading provider of database lifecycle management solutions, today released ER/Studio® 2016, a powerful data architecture solution that combines multi-platform data modeling, design and reporting with cross-organizational team collaboration for data architectures and enterprises of all sizes. The […]

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A Data First Approach to Data Management

By   /  December 16, 2015  /  Data Daily | Data News, Data Education, Data Strategy News, Data Strategy News, Articles, & Education, Education Resources For Use & Management of Data, Enterprise Information Management, Information Management News  /  No Comments

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by Angela Guess Avi Kalderon recently wrote in Data Informed, “The time has arrived for a Data First approach to creating information for business. Done right, this approach is all about getting more value, faster and at comparable or lower cost to implement. It veers away from some traditional thinking, but the early evidence is […]

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Ten Reasons Why Developers Ignore Data Models

By   /  November 30, 2015  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Data Modeling Blogs, Data Modeling News, Articles, & Education  /  No Comments

Michael Blaha

Learn more about Michael Blaha. Why do some developers think they can dive in and build a database application without first constructing data models? They are violating the whole premise of software engineering which is to think before acting. Data models provide a means for focusing the mind and is necessary for a systematic, repeatable […]

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A Data Model Describes a Business

By   /  November 23, 2015  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Data Strategy Blogs, Data Strategy News, Articles, & Education  /  No Comments

Donna Burbank

Learn more about Donna Burbank. One of the things I love about data modeling, and data management in general, is that it gives me the opportunity to work with a variety of organizations around the world and understand what makes them run. In a sense, a good data modeler is a management consultant for information […]

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Modeling Webinar: What’s New in Data Modeling

By   /  October 26, 2015  /  Conference and Webinar Communities, Data Education, Data Modeling News, Articles, & Education, Data Modeling Webinars, Data Webinars | On Demand Presentations, Education Resources For Use & Management of Data, Heart of Data Modeling Community, Heart of Data Modeling Webinars On Demand, Webinar Communities For the Data Industry, Webinars  /  1 Comment

Heart Modeling Featured Image

  About the Webinar Even though data modeling has been around longer than most of your IT teammates (and in many cases, your teammate’s parents), there are exciting changings in the tool, methods and data modeling ecosystem. Join us for a fun, insightful look into where we’ve been and where we are heading. We’ll talk […]

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Predictive Analytics Models Should Be a Team Effort

By   /  October 1, 2015  /  Data Daily | Data News, Data Education, Data Modeling News, Data Modeling News, Articles, & Education  /  1 Comment

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by Angela Guess Ed Burns recently wrote for Search Business Analytics, “The work that goes into building predictive analytics models doesn’t stop once the code is written. To ensure that predictive modeling efforts deliver accurate and meaningful results, analytics managers say it’s important to continue testing analytical models and reworking them until they’re fully reliable […]

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