Data Quality Meetup #8

Host: Gleb Mezhanskiy

Guests/Speakers: Lindsay Murphy, Jared Noynaert, Sonal Goyal, Ali Khalid and Will Sweet.

If you'd like to attend the next Meetup, or be a Speaker/Panelist, then please email

Improving Data Quality at Maple

By:  Lindsay Murphy, Director of Data & Analytics at Maple

Learn from Lindsay Murphy, Director of Data & Analytics at Maple, about data testing and data quality at

During this talk, Lindsay covers:

1. Early Data Quality at Maple

2. Maple's Data Quality Journey

3. Continuing to Improve Data Quality

Defense in Depth: Data Quality at Crane

By: Jared Noynaert, Vice President of Data & Analytics at Crane Worldwide Logistics

Understand how a leading logistics company, Crane Worldwide Logistics considers Data Quality and Data Testing.

Jared, Vice President of Data & Analytics at Crane, discusses:

1. Overview of his team

2. Motivations for Data Quality - and why it matters to the business

3. How his team approaches solving for Data Quality & Data Testing

4. Examples of how to apply modern data quality & data testing practices

Entity Resolution: Needs & Challenges

By: Sonal Goyal, Co-founder at

Sonal Goyal, co-founder of, joins us to speak about how her company is enabling customer 360 platforms through their proprietary use of Entity Resolution.

Sonal's discussion consists of:

1. Challenges surrounding creation of customer data platforms

2. An overview of Identity / Entity Resolution

3. How can help

4. How works - open source ML framework

Scaling Data Quality: CI Pipelines

By:  Ali Khalid, Creator & Author of

Ali Khalid, creator and author of, joins the Meetup to discuss Scaling Data Quality with CI Pipelines.

Ali's talk consists of:

1. Data Quality Challenges for Data Engineers

2. A double-click on CI Pipelines

3. How to leverage CI Pipelines to drive Data Quality

dbt & Data-Diff

By:  Will Sweet, Head of Data & Product Experience at Datafold

Will Sweet, Head of Data & Product Experience, at Datafold - joins the Data Quality Meetup to soft-launch our open-source dbt integration.

He uses this time to discuss:

1. Introduce our open-source data-diff integration with dbt

2. The value prop

3. How it works: Combining data-diff with dbt

4. A Demo

Data Quality Meetup

To see a full recording of the Data Quality Meetup, you can watch from our YouTube Channel - link below.

Datafold is the fastest way to validate dbt model changes during development, deployment & migrations. Datafold allows data engineers to audit their work in minutes without writing tests or custom queries. Integrated into CI, Datafold enables data teams to deploy with full confidence, ship faster, and leave tedious QA and firefighting behind.

Datafold is the fastest way to test dbt code changes