A Free, On-Demand DataOps Certification Course

Data Observability and Data Quality Testing Certification

We are excited to invite you to a free four-part certication series that will elevate your understanding and skills in Data Observation and Data Quality Testing. This series is crafted for professionals eager to deepen their knowledge and enhance their data management practices, whether you are a seasoned data engineer, a data quality manager, or just passionate about data.

Course Curriculum

Session 1: Setting the Stage for Data Excellence 

In our opening session, we will explore the foundational concepts of data testing versus data quality and discuss the critical role of data testing within the data journey. Our expert, Eric, will guide you through a live demonstration of pre-production data testing strategies, including data profiling and initial data hygiene scans, focusing on identifying and addressing the dozens of anomalies impacting data quality.

Session 2: Enhancing Data Reliability in Production

Our second session will delve into the intricacies of data testing during production. Chris will overview data at rest and in use, with Eric returning to demonstrate the practical steps in data testing for both states. You will learn about our twenty-eight data profiling quality checks and the eleven best practices for custom data validation tests, ensuring you can maintain data integrity even in the most dynamic environments.

Session 3: Mastering Data Testing in Development and Migration 

During our third session, the focus will shift towards regression and impact assessment in development cycles. Discover the best practices for functional and performance testing and essential insights into data testing as part of data migration projects. This session is crucial for those looking to ensure data consistency and accuracy across different stages of data handling.

Session 4: Towards Data Testing and Observability Maturity

Our final session will cover the roles, management, and metrics involved in data testing and introduce you to the Data Testing Maturity Model. We will discuss measuring efforts effectively and how robust testing practices can lead to fewer errors, increased data trust, and enhanced productivity.

Meet Your Instructors

Christopher Bergh is the CEO & Head Chef at DataKitchen, a DataOps software & services provider. Chris has more than 30 years of research, software engineering, data analytics & executive management experience. He has been a COO, CTO, VP & Director of Engineering at various points in his career. Chris is a recognized expert on DataOps, speaking about DataOps at various industry conferences. He co-authors The DataOps Manifesto, The Data Journey Manifesto, The DataOps Cookbook & Recipes for DataOps Succes. You can follow Chris on Twitter @ChrisBergh.

Eric Estabrooks is a Founder and VP of Cloud and Data Services at DataKitchen where he is focusing on client delivery and AWS cloud operations. Prior to DataKitchen, Eric was the VP of Cloud and Data Services at LeapFrogRx, acquired in 2013 by Model N (MODN), where be built a high performing data services team that had quality and process improvement baked into its DNA. LeapFrogRx provided a SaaS for analyzing sales & marketing data for its Pharma customers. Before coming to Boston, Eric was a lead developer and software architect at Premisys Corporation, acquired by J.D. Edwards, where he helped develop a Configure, Price, Quote (CPQ) platform for manufacturers of highly customizable products in various industries.

Eric holds a B.S. in Mechanical Engineering from Penn State University. He was bit by the software bug, early in his career, while working on Finite Element Analysis and implementing algorithms to model material deformation at high temperature.