article thumbnail

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

article thumbnail

The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Future of AI in the Enterprise

Jet Global

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

article thumbnail

Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Pierre-Yves Oudeyer (2018). This is not that.

article thumbnail

Data Science, Past & Future

Domino Data Lab

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.