Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. We keep feeding the monster data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”). Problems arise when data sources are semantically incompatible.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Domino Data Lab

JULY 2, 2019

The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. Scale the problem to handle complex data structures.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

O'Reilly on Data

SEPTEMBER 11, 2019

But we wanted to see what an analysis of the event’s proposal data itself might reveal about the state of the field at this point in time. So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20