Data Modeling Articles

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Amir Elkabir Amir Elkabir
Updated on September 21, 2023

What Is Kaggle? How to Compete in Kaggle Competitions.

Kaggle has evolved into a playground for established professionals and aspiring data scientists.

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Rex Ahlstrom Rex Ahlstrom
Updated on August 01, 2023

Data Mesh vs. Data Fabric: Which Is Right for Your Organization?

As your company looks for a data management strategy, you may consider a data mesh or a data fabric architecture. Our expert explains the differences and how to decide which fits your needs.

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Scott Thomson Scott Thomson
Updated on July 12, 2023

The Dangers of Too Much Data

Too much data can endanger results, not to mention consumers and the environment.

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Aleksandras Šulženko Aleksandras Šulženko
Updated on June 14, 2023

How Governments Can Use Alternative Data for Policymaking

The increasing digitization of society means a wealth of public data exists beyond traditional sources. Our expert argues that governments can use this data to make faster, more flexible policy decisions.

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Cristiano Breuel Cristiano Breuel
Updated on May 15, 2023

MLOps: Machine Learning as an Engineering Discipline

As machine learning matures from research to applied business solution, we need to improve ML’s operation processes.

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Madhav Srinath Madhav Srinath
Updated on May 03, 2023

Want to Use AI? Invest in Business Intelligence First.

Business intelligence can help you develop the data fundamentals you need for AI success. Here’s how.

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Erdem İŞBİLEN Erdem İŞBİLEN
Updated on April 12, 2023

What Is Maximum Likelihood Estimation (MLE)?

In statistics, we can use maximum likelihood estimation (MLE) to estimate the parameters of models. Here’s how MLE works.

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Sara A. Metwalli Sara A. Metwalli
Updated on March 15, 2023

5 Structured Thinking Techniques for Data Scientists

Try 1 of these 5 structured thinking techniques as you wrestle with your next data science project.

Dawn Kawamoto Dawn Kawamoto
Updated on March 15, 2023

Data Analyst vs. Data Scientist: Similarities and Differences Explained

A data analyst reviews company data to assess its current situation while a data scientist uses coding and advanced modeling techniques to answer current and future company questions.

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Alan Simon Alan Simon
Updated on March 15, 2023

What Is Data Modeling? Common Tools, Techniques and Model Types.

Data modeling is the process of mapping out how major pieces of data will relate to one another before creating an analytical model. Here’s what you need to know.

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