AWS Machine Learning Blog

OCTOBER 20, 2023

Data and governance foundations – This function uses a data mesh architecture for setting up and operating the data lake, central feature store, and data governance foundations to enable fine-grained data access. This framework considers multiple personas and services to govern the ML lifecycle at scale.

ML 137

ML ML AWS Data Lakes 137

phData

NOVEMBER 9, 2023

In this blog, we’ll explain what makes up the Snowflake Data Cloud, how some of the key components work, and finally some estimates on how much it will cost your business to utilize Snowflake. What is the Snowflake Data Cloud? What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Alation

FEBRUARY 13, 2020

Expansion in our business model is driven by the number of users of the data catalog, which means that our average customer is virally successful relative to their initial investment. The Alation Data Catalog is taking years of data lake and self-service analytics investments and driving them from investments to insights.

Data Lakes 52

Data Lakes Analytics Analytics Machine Learning 52

Alation

JULY 7, 2022

Starting in the summer of 2020, students began using Alation to learn how to work with data and communicate around it effectively. To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands.

Data Scientist 52

Data Scientist Data Analyst Analytics Analytics 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

SQL 52

SQL ML ML Python 52

Data Science Blog

MARCH 14, 2023

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme. ” Towards Data Science.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147