2001, Data Warehouse, Enterprise and Statistics

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2001

Data Warehouse

Enterprise

Statistics

Self-Service BI vs Traditional BI: What’s Next?

Alation

MARCH 29, 2022

Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.

Business Intelligence

Business Intelligence Reporting Data mining Data-driven

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Data Science, Past & Future

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science

Data Science Machine Learning Data Governance Modeling

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Self-Service BI vs Traditional BI: What’s Next?

Data science vs. machine learning: What’s the difference?

Data Science, Past & Future

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