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Showing posts with label data models. Show all posts
Showing posts with label data models. Show all posts
16 October 2024

🧭💹Business Intelligence: Perspectives (Part XVIII: There’s More to Noise)

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Business Intelligence Series Visualizations should be built with an audience's characteristics in mind! Upon case, it might be sufficien...
07 August 2024

🧭Business Intelligence: Perspectives (Part XII: From Data to Data Models)

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Business Intelligence Series A data model can be defined as an abstract, self-contained, logical definition of the data structures available...
06 May 2024

🧭🏭Business Intelligence: Microsoft Fabric (Part III: The Metrics Layer) 🆕

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Introduction One of the announcements of this year's Microsoft Fabric Community first conference was the introduction of a metrics layer...
25 March 2024

📊R Language: Regression Analysis with Simulated & Real Data

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Before doing regression on a real dataset, one can use as minimum a set of simulated data to test the steps (code adapted after [1]): ...
21 October 2023

🧊Data Warehousing: Architecture V (Dynamics 365, the Data Lakehouse and the Medallion Architecture)

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Data Warehousing Series An IT architecture is built and functions under a set of constraints that derive from architecture’s components. Usu...
20 March 2021

🧭Business Intelligence: New Technologies, Old Challenges (Part II - ETL vs. ELT)

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  Data lakes and similar cloud-based repositories drove the requirement of loading the raw data before performing any transformations on the...
21 May 2020

📦Data Migrations (DM): In-house Built Solutions (Part II: The Import Layer)

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Data Migrations Series A data migration involves the mapping between two data models at (data) entity level, where the entity is a data abst...
19 May 2020

📦Data Migrations (DM): In-house Built Solutions (Part I - An Introduction)

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Data Migrations Series A Data Migration (DM) is the move of all or a subset of the data available from one or more system(s) into other sys...
03 January 2020

🗄️Data Management: Data Literacy (Part I: A Second Language)

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At the Gartner Data & Analytics Summit that took place in 2018 in Grapevine, Texas, it was reiterated the importance of data literacy fo...
29 November 2019

🧭Business Intelligence: Perspectives (Part V: Data Soup - From BI to Analytics)

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Business Intelligence Series The days when everything was reduced to simple terminology like reports or queries are gone. One can see it in ...
01 July 2019

🧱IT: Data Models (Definitions)

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"A system data model is a collection of the information being addressed by a specific system or function such as a billing system, data...
14 January 2019

🔬Data Science: Evolutionary Algorithm (Definitions)

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"An Evolutionary Algorithm (EA) is a general class of fitting or maximization techniques. They all maintain a pool of structures or mod...
24 December 2018

🔭Data Science: Data Mining (Just the Quotes)

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"Data mining is the efficient discovery of valuable, nonobvious information from a large collection of data. […] Data mining centers ...
23 December 2018

🔭Data Science: Machine Learning (Just the Quotes)

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"[…] an obvious difference between our best classifiers and human learning is the number of examples required in tasks such as obje...