O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines.

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

Cloudera

SEPTEMBER 24, 2021

They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud. Data governance was completely balkanized, if it existed at all. The Well-Governed Hybrid Data Cloud: 2018-today.

Analytics 96

Analytics IoT Cost-Benefit Big Data 96

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. degrees in Data Engineering over the past 2 years, while others have expanded existing M.S.

Metadata 52

Metadata Data-driven Insurance Statistics 52