Cloudera

AUGUST 2, 2018

In each of the cases outlined above, the technology enabler is a new generation of data warehouses. We call it ‘Modern Data Warehousing’. Simply put, modern data warehousing enables our customers to confidently share petabytes of verified data across thousands of users while surpassing demands of SLAs and limited budgets.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 1 again in proposals this year.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66