Alation

AUGUST 11, 2022

Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Data mesh says architectures should be decentralized because there are inherent problems with centralized architectures.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

MARCH 14, 2024

  Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads. . Netezza

AWS 93

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Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And finally, you’ll see that in action today. I don’t have a lot of time, so we’ll jump into it.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And finally, you’ll see that in action today. I don’t have a lot of time, so we’ll jump into it.

SQL 52

SQL ML ML Python 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

APRIL 3, 2023

Data analysts often must go out and find their data, process it, clean it, and get it ready for analysis. This pushes into Big Data as well, as many companies now have significant amounts of data and large data lakes that need analyzing. Get your ODSC East 2023 Bootcamp ticket while tickets are 40% off!

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Alation

APRIL 6, 2023

The ability to connect straight to the source allows knowledge workers to work natively in spreadsheets, pulling data directly from true data sources like the data warehouse or data lake. Managing spreadsheets is a difficult task for even the most data-savvy professional.

Data Governance 52

Data Governance Database Data Lakes Data Warehouse 52

Alation

NOVEMBER 28, 2022

But refreshing this analysis with the latest data was impossible… unless you were proficient in SQL or Python. We wanted to make it easy for anyone to pull data and self service without the technical know-how of the underlying database or data lake. We’ve got you covered: Join a self-guided demo.

Data Governance 52

Data Governance Database Data Quality Data Lakes 52

The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. Data engineers are mostly in charge of it.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

The MLOps Blog

JUNE 5, 2023

A lot of them are demos at that point, they’re still not products. You have your: feature store model registry data from a data lake The data is then moved across this workflow, modeled and then deployed, Now there’s a good link between your development environments and the production environment where it’s monitoring.

ML 52

ML ML Machine Learning Machine Learning 52