Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Data transformation.

Data Warehouse 98

Data Warehouse SQL Azure ETL 98

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For Azure AD, you must also specify a unique identifier for the scope.

AWS 123

AWS Data Preparation Azure Data Scientist 123

How to Learn Machine Learning

APRIL 26, 2025

It’s not simply about the numbers, but how they can communicate the story behind the data to then model complex datasets into insights that stakeholders can act on. Their job is to ensure that data is made available, trusted, and organizedall of which are required for any analytics or machine-learning task.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Mlearning.ai

JANUARY 26, 2023

EO data is not yet a commodity and neither is environmental information, which has led to a fragmented data space defined by a seemingly endless production of new tools and services that can’t interoperate and aren’t accessible by people outside of the deep tech community ( read more ). Yet nobody feels locked-in by technology.

AWS 98

AWS Database Data Science Clean Data 98