[Demo] Migrate from Kafka Services to Confluent Cloud + Save 70% on Costs | Register Now

Online Talk

How to Implement Data Contracts: A Shift Left to First-Class Data Products

今すぐ見る

Available On-Demand

In the era of AI, poor data quality not only increases costs but holds back critical innovation. Unfortunately, data teams are often solely responsible for fixing bad data, even though they don't control data production where most problems arise.

Foundational data challenges require a rethink of how data is treated and how teams collaborate—with a solution that goes beyond just technology. Enter data contracts.

In this demo webinar, join a discussion with leading voices on data contracts and how the Data Streaming Platform makes data a first-class citizen, enabling data and analytics team success.

You will dive into:

  • Data Contract Fundamentals: Explore how data contracts enable higher-quality data efficiently, and the pros and cons of various implementation approaches
  • Going from Theory to Practice: Learn how to implement data contracts using Confluent
  • Data Contracts and Data Products: See first-hand how to build reusable, reliable, and real-time data products represented as streams or analytical tables using DSP capabilities such as Apache Flink and Tableflow

Register to learn, access code samples and jumpstart your data product journey.

Andrew is a Principal Engineer and trainer with 15 years of experience in building reliable, scalable, and autonomous data platforms, which over the last 6 years have been implemented through data contracts. He is the author of the book "Driving Data Quality with Data Contracts" and a regular speaker.

Jack is a Principal Technologist in the Technology Strategy Group who comes from a background of distributed systems engineering. He has contributed to multiple open source messaging systems as an engineer and formal verification expert. He has blogged extensively on system internals, protocol design, formal verification techniques and performance.

Kyle strives to deliver technical assets that highlight Confluent product features and proven industry practices around data streaming. Kyle started his career as a digital marketing manager for a cybersecurity company, and has gained years of valuable experience in each of his roles along his journey, which includes software tester, software engineer, and developer advocate.

Shruthi Panicker is a Sr. Product Marketing Manager at Confluent where she focuses on Shift-Left in data and analytics. Shruthi focuses on data and analytics and has experience spanning BI, embedded analytics, data-as-a-service, and data streaming. She is passionate about working at the intersection of technology and business to tell great product stories that help drive customer value.