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 54

Machine Learning Data Science Statistics Deep Learning 54

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 96

Business Intelligence Reporting Data mining Data-driven 96

Domino Data Lab

JANUARY 6, 2019

The program supports hands-on data science class sizes of more than 1,200 students based on JupyterHub , and this sets a bar for enterprise infrastructure. UC Berkeley intro data science course (credit: Fernando Pérez ). We do not and cannot have a “one size fits all” solution for data science training. That’s no problem.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

There’s been a flurry of tech startups, open source frameworks, enterprise products, etc., Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. 2018 – Global reckoning about data governance, aka “Oops! It’s a quick way to clear the room.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71