ODSC - Open Data Science

MARCH 23, 2023

Each month, ODSC has a few insightful webinars that touch on a range of issues that are important in the data science world, from use cases of machine learning models, to new techniques/frameworks, and more. So here’s a summary of a few recent webinars that you’ll want to watch. Watch on-demand here. Watch on-demand here.

Data Science 52

Data Science Data Lakes Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Modeling 52

Tableau

DECEMBER 7, 2022

Built-in connectors bring in data from every single channel. That includes live data streams, streaming data from web and mobile, and APIs integrated with MuleSoft to bring in external data from legacy systems or proprietary data lakes. . The power of the customer graph keeps going. Do more with less.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Built-in connectors bring in data from every single channel. That includes live data streams, streaming data from web and mobile, and APIs integrated with MuleSoft to bring in external data from legacy systems or proprietary data lakes. . The power of the customer graph keeps going. Do more with less.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Built-in connectors bring in data from every single channel. That includes live data streams, streaming data from web and mobile, and APIs integrated with MuleSoft to bring in external data from legacy systems or proprietary data lakes. To take a closer look, check out the Data Cloud for Tableau demo.

Tableau 54

Tableau Data Warehouse Data Pipeline Data Visualization 54

Alation

FEBRUARY 17, 2023

Some software packages will do this with a glossary of terms, and other software packages may do this with a domain structure, and some may even have a fully segregated data model, which may be a little tougher to work with depending on the architecture. This is a very good thing. Where do you govern? Curious to hear from the author?

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 52