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Identity: Working with Surrogate Keys

By   /  April 14, 2017  /  Data Blogs | Information From Enterprise Leaders, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  2 Comments

Click to learn more about author Michael Blaha. Identity is the means for denoting individual entities, so that they can be found. Identity is a prominent concern for databases because developers must have some way for referring to things. There are two aspects of identity – how to connect records together (internal identity) and how […]

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Surrogate Keys: Paving the Way for Graph / NoSQL Data Models

By   /  April 3, 2017  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  No Comments

Click to learn more about video blogger Thomas Frisendal. Since the mid-seventies many SQL-databases have been modeled using the concept of surrogate keys: Non-information bearing primary keys Used for join purposes (inter-table relationships) System generated (integer) values Not to be shown to end-users The advantage of using surrogate keys is guaranteed persistence, even across changes in […]

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Softcoded Data

By   /  February 27, 2017  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  No Comments

Click to learn more about author Michael Blaha. Database applications typically have a direct representation. Application concepts are represented as tables with their attributes stored as table columns. This direct approach works well for applications with fixed structure. However, it fails for applications with structure that is not fully known as the application is being built. […]

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Artificial Intelligence vs. Human Intelligence: Hey Robo Data Modeler!

By   /  February 8, 2017  /  Big Data Blogs, Big Data News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Smart Data Blogs, Smart Data News, Articles, & Education  /  No Comments

Click to learn more about author Thomas Frisendal. In the data space plenty of new terms are being coined (by marketing?) for handling data modeling, governance and quality issues: “data preparation”, “data wrangling”, “data catalogue” and “machine-based data harmonization” (™ of ClearStory Data). Do we need stuff like this? Definitely so. Today we need to move […]

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Six Key Principles to Accelerate Data Preparation in the Data Lake

By   /  January 30, 2017  /  Big Data Blogs, Big Data News, Articles, & Education, Data Architecture Blogs, Data Architecture News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  No Comments

Click to learn more about author Paul Barth. In the digital economy, most companies are looking to significantly increase their use of data and analytics for competitive advantage. Many are making investments in new technologies like Hadoop that promise the speed and flexibility they need, and early pilots look promising.  However, companies are struggling to scale […]

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Debugging Complex SQL Queries

By   /  January 25, 2017  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  2 Comments

Click to learn more about author Michael Blaha. We favor the offloading of application logic to SQL queries. Developers can save time, effort, and reduce mistakes by substituting SQL for programming code. This leads to lengthy and complex SQL that must be debugged. It is common to write a SQL query that initially fails to execute. […]

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Database Reflections: Ten Things to Consider

By   /  January 9, 2017  /  Big Data Blogs, Big Data News, Articles, & Education, Data Architecture Blogs, Data Architecture News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Data Strategy Blogs, Data Strategy News, Articles, & Education, Database Blogs, Database News, Articles, & Education, Enterprise Information Management, Information Management Blogs  /  2 Comments

Click here to learn more about author Michael Blaha. I’m going to do something different this month and reflect on some observations of the IT industry. My comments will focus on database-related topics. This is a smattering of ideas that is not intended to be comprehensive. I’m hoping that this article will stimulate dialogue. I […]

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Visual Normalization – Use the Power of the Dependencies

By   /  December 14, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  1 Comment

Click to learn more about author Thomas Frisendal. One of the major contributions of Dr. Ted Codd’s relational model is the focus on the importance of functional dependencies. In fact, normalization is driven by a modeler’s desire for a relation where strict functional dependency applies across all the binary relations between the designated primary key and […]

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Be Careful with Derived Data

By   /  December 5, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education, Enterprise Information Management, Information Management Blogs  /  2 Comments

Click here to learn more about author Michael Blaha. We often perform database reverse engineering as part of our consulting work. We have found that it’s common for databases to contain derived data. Derived data is data that can be computed from other base data. Often, the storing of derived data is a mistake and […]

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Data Warehouse Model: Diffuse Relationships

By   /  October 26, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Enterprise Information Management, Information Management Blogs  /  No Comments

Click here to learn more about author Michael Blaha. A diffuse relationship is one of a group of similar relationships, which broadly apply to entities in a model. We can show them explicitly, but such an approach can become verbose and obscure the deeper content of a model. We coined the term “diffuse relationship” as […]

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