IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

Domino Data Lab

APRIL 3, 2019

Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. Most of the data management moved to back-end servers, e.g., databases. Sorry, there is no data in agile.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

APRIL 25, 2011

When a majority of your budget is invested in tools and data warehouses, rather than smart people to use them, you are saying you prefer to suck. Your website was created in 1996, updated slightly in 2001, and left to rot ever since. You will almost die of happiness when the results come in. Take, bad, shortcuts. " 20. [via

Marketing 126

Marketing Measurement Metrics Testing 126