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Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

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.

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How to Deliver Data Quality with Data Governance: Ryan Doupe, CDO of American Fidelity, 9-Step Process

Alation

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.

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Understanding Master Data Management (MDM) and Its Role in Data Integrity

Precisely

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.

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Build Data Pipelines: Comprehensive Step-by-Step Guide

Pickl AI

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?

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Top ETL Tools: Unveiling the Best Solutions for Data Integration

Pickl AI

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.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

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.

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Deployment of Machine Learning Models and its challenges

How to Learn Machine Learning

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.