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

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 2: Data Definitions.

Data Quality 94

Data Quality Data Governance Data Profiling Clean Data 94

Precisely

NOVEMBER 13, 2024

The Importance of a System of Record MDM’s role in your data landscape is closely tied to the concept of a system of record: a centralized repository where critical business data is stored and managed. It can also link with most commonly-used systems like your CRM, ERP, and marketing platforms.

Data Silos 64

Data Silos Data Observability Data Governance Data Quality 64

Pickl AI

JULY 8, 2024

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. Efficient integration ensures data consistency and availability, which is essential for deriving accurate business insights. What are the Critical Steps in Building a Data Pipeline?

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

Pickl AI

JUNE 7, 2024

Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Introduction In today’s business landscape, data integration is vital. More For You To Read: 10 Data Modeling Tools You Should Know.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

The MLOps Blog

AUGUST 3, 2023

And then, we’re trying to boot out features of the platform and the open-source to be able to take Hamilton data flow definitions and help you auto-generate the Airflow tasks. To a junior data scientist, it doesn’t matter if you’re using Airflow, Prefect , Dexter. I term it as a feature definition store.

ML 52

ML ML Data Scientist Machine Learning 52

How to Learn Machine Learning

JUNE 9, 2025

If you’re hoping to deploy with success in the real world, this is definitely worth the read. A model’s performance can degrade if there is a data distribution shift over time (a.k.a. Inconsistent Data Between Training and Production Many assume the data observed in production will be similar to training data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52