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Data Modeling Techniques and Best Practices

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.  The proven approach to seamlessly designing and deploying a data warehouse is putting enterprise data modeling at the center of your […]

The Rise of the Semantic Layer

Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface […]

A Beginner’s Guide to Data Modeling and Analytics

As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. While they typically rely on one each, they are two very distinct concepts.  Companies use data analysis to clean, transform, and model their sets of data, whereas they […]

Tales of Data Modelers

Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). I agree with Larry on so many things. However, this post is not a review of Larry’s book. Read it for yourself – highly recommended. Reading it triggered […]

Is Machine Learning a Good Fit for Your Product?

Click to learn more about author Juras Juršėnas. Not all machine learning applications have been met with resounding success. In fact, there’s a lot of disappointment involved. From overly ambitious projects to the expectation of ever being a finished product, machine learning is marred with false hope. I think Andrey Kurenkov has done a stellar […]

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