Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Data Science Dojo

NOVEMBER 15, 2023

IMPACT is a great opportunity to learn from experts in the field, network with other professionals, and stay up-to-date on the latest trends and developments in data and AI. The AI Expo is a great opportunity to learn from experts from companies like AWS, IBM, etc. The summit will be held on November 8th, 2023.

Machine Learning 195

Machine Learning Machine Learning AI AI 195

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture. Data observability also helps users identify the root cause of problem in the data.

Data Observability 52

Data Observability Data Lakes Data Quality ETL 52

Precisely

MAY 3, 2023

Modern Data Architectures Panel To discuss the importance of data quality, governance, and observability for digital transformation success, Precisely COO Eric Yau is joined by panelists Sanjeev Mohan, former Gartner Research VP, Atif Salam, CxO Advisor & Enterprise Technologist at AWS, and Tendü Yogurtçu, PhD, CTO at Precisely.

Data Governance 52

Data Governance AWS Data Quality Analytics 52

Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive.

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 52

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Interoperable and governed by global standards. Self-describing.

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134