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Showing posts with label Data science. Show all posts
Showing posts with label Data science. Show all posts
24 April 2025

🧭Business Intelligence: Perspectives (Part 30: The Data Science Connection)

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Business Intelligence Series Data Science is a collection of qua...
17 September 2024

#️⃣Software Engineering: Mea Culpa (Part V: All-Knowing Developers are Back in Demand?)

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Software Engineering Series I’ve been reading many job descripti...
17 February 2024

🧭Business Intelligence: A Software Engineer's Perspective I (Houston, we have a Problem!)

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Business Intelligence Series One of the critics addressed to the BI/Data Analytics, Data Engineering and even Data Science fields is their r...
13 February 2024

🧭Business Intelligence: A One-Man Show (Part V: Focus on the Foundation)

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Business Intelligence Suite I tend to agree that one person can't do anymore "everything in the data space", as Christopher La...

🧭Business Intelligence: A One-Man Show (Part IV: Data Roles between Past and Future)

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Business Intelligence Series Databases nowadays are highly secure, reliable and available to a degree that reduces the involvement of DBAs t...
27 January 2024

Data Science: Back to the Future I (About Beginnings)

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Data Science Series I've attended again, after several years, a webcast on performance improvement in SQL Server with Claudio Silva , “W...
29 March 2021

Notes: Team Data Science Process (TDSP)

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Team Data Science Process (TDSP) an agile, iterative data science methodology to deliver predictive analytics solutions and intel...
31 October 2020

🧊Data Warehousing: Architecture (Part III: Data Lakes & other Puddles)

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One can consider a data lake as a repository of all of an organization’s data found in raw form , however this constraint might be too har...
30 October 2020

Data Science: Data Strategy (Part II: Generalists vs Specialists in the Field)

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Division of labor favorizes the tasks done repeatedly, where knowledge of the broader processes is not needed, where aspects as creativity a...
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...
30 December 2018

🔭Data Science: Information (Just the Quotes)

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"Probability, however, is not something absolute, [it is] drawn from certain information which, although it does not suffice to resolve...

🔭Data Science: Testing (Just the Quotes)

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"We must trust to nothing but facts: These are presented to us by Nature, and cannot deceive. We ought, in every instance, to submit ou...