Data Modeling News, Articles, & Education

Data Schemas and Data Structures 3

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by Michael Brackett The Five-Tier Five-Schema Concept, or whatever it may evolve into, forms the base for formally designing, developing, and managing an organization’s data resource[i].  The key phrase in that statement is whatever it may evolve into.  Most paradigms evolve over time based on better insight, increased understanding, and new technologies.  The Five-Tier Five-Schema…

Webinar: Big Challenges in Data Modeling – Modeling Unstructured Data & Schema-less Design

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Big Challenges in Data Modeling – Modeling Unstructured Data, Schema-less Design from DATAVERSITY Topic Focus: Modeling Unstructured Data & Schema-less Design This webinar was Sponsored by: and   About the Presentation We invite you to join us in this monthly DATAVERSITY webinar series, “Big Challenges with Data Modeling” hosted by Karen Lopez. Join Karen and…

More Data + Simple Algorithms = The Best Data Models

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by Angela Guess Garrett Wu of Data Informed recently wrote, “With all the buzz surrounding big data, the data management practitioner is constantly inundated with information regarding big data technologies. After identifying which big data problems an organization must solve, the next step is understanding the advantages and disadvantages of different approaches to address these…

Using Both the Waterfall and Agile Methods

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by Justin Taylor Today, there are plenty of examples of companies using the traditional waterfall project management methodology as compared to the agile methodology.  Both methodologies are valid and have ample potential for success. That success always depends on the discipline of the project team and business.  In my experience, it seems that most consulting…

Data Schemas and Data Structures 2

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by Michael Brackett The Three-Tier Five-Schema Concept[i] was quite acceptable for designing, developing, and managing an organization’s data resource until data warehousing emerged.  Data warehousing was a technology for the storage of data to facilitate the analysis of business trends and patterns.  The problem was, like many new technologies and hype-cycles, that the term was…

Slide Presentations: Databases, CAP, ACID, BASE, NoSQL… oh my!

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Databases, CAP, ACID, BASE, NoSQL… oh my! from DATAVERSITY To view the recording of this presentation, click HERE. This Webinar is Sponsored by: MarkLogic About the Webinar A NoSQL database is ideal for storing, querying, and managing the any-structured information and new data types of the Big Data world … but does that mean a NoSQL database is…

Big Challenges in Data Modeling – Top Data Modeling Myths

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Big Challenges in Data Modeling – Top Data Modeling Myths from DATAVERSITY   Topic Focus: Top Data Modeling Myths This Webinar is Sponsored by:    and     About the Presentation We invite you to join us in this monthly DATAVERSITY webinar series, “Big Challenges with Data Modeling” hosted by Karen Lopez. Join Karen and…

Data Schemas and Data Structures 1

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by Michael Brackett Following the discussion of Data Architecture and Data Structures, the next questions are What’s the difference between data schemas and data structures? and How are data schemas, data structures, and data models formally named?[i] Numerous attempts have been made over the years to formally name specific data structures and the data models…