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

DagsHub

DECEMBER 11, 2023

It does not support the ‘dvc repro’ command to reproduce its data pipeline. DVC Released in 2017, Data Version Control ( DVC for short) is an open-source tool created by iterative. However, these tools have functional gaps for more advanced data workflows. This can also make the learning process challenging.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. billion by the end of 2020, but despite the spend many organizations are still failing to see the return on investment. But, enterprises have still failed to realize the ROI.

Data Governance 52

Data Governance Tableau Analytics Analytics 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

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. The difficult part is what comes before training a model and then after.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. The difficult part is what comes before training a model and then after.

SQL 52

SQL ML ML Python 52