DataOps for QA Teams: Automate Data Testing & Data Monitoring
9:00AM PDT - 12:00 PM EST - 17:00 BST - 18:00 CET - 21:30 IST
Are you looking to streamline data testing and monitoring for your QA team? Join our upcoming session, "DataOps for QA Teams: Automate Data Testing & Data Monitoring", led by Sandesh Gawande, who will share expert strategies to enhance efficiency and data quality through DataOps practices.
As organizations embrace DataOps to accelerate data-driven decisions, QA teams play a critical role in ensuring reliable, high-quality data pipelines. This session will dive into practical approaches to automate testing and monitoring, drawing from real-world applications.
Challenges in DataOps for QA Teams:
- Ensuring data consistency across diverse, fast-moving data pipelines.
- Managing high-volume data testing without sacrificing speed or accuracy.
- Adapting to frequent schema changes and evolving data sources.
- Maintaining compliance and governance in dynamic data environments.
Key Takeaways from This Session:
- Strategies to automate data testing and monitoring workflows.
- Techniques to reduce manual effort and improve data reliability.
- Insights into building scalable, repeatable DataOps processes.
- Real-world examples of successful DataOps implementations for QA.
Session Highlights:
- Automated Data Testing: Learn methods to automate end-to-end validation, ensuring data accuracy across pipelines.
- Effective Data Monitoring: Discover techniques to proactively detect and resolve data quality issues in real time.
- Best Practices for QA: Explore rule-based validation and reconciliation to catch errors early and maintain trust in data.
- Scalable DataOps Workflows: Understand how to design efficient testing and monitoring processes for large-scale data environments.
- Real-World Use Cases: Hear how leading organizations leverage DataOps to optimize QA processes and ensure data integrity.
- Actionable Insights: Gain practical tips to implement DataOps, from pipeline validation to performance optimization.
Whether you’re a QA professional, data engineer, or IT leader, this session will empower you to transform your data testing and monitoring with DataOps principles.
Episodes:
- Episode 1: Fundamentals of ETL & Data Warehouse Testing (April 10th, 2025)
- Episode 2: Cloud & Snowflake Data Migration Testing: Best Practices for QA (May 8th, 2025)
- Episode 3: DataOps for QA Teams: Automate Data Testing & Data Monitoring (June 12th, 2025)
The End-to-End DataOps Implementation webinar series is designed to equip QA teams with the skills and strategies needed to automate and streamline data testing and monitoring.
Through three in-depth sessions, participants will learn the fundamentals of ETL and Data Warehouse Testing, best practices for Cloud and Snowflake Data Migration, and how to implement DataOps to automate and scale their testing processes.
You can attend each episode individually, as each topic stands alone and offers valuable insights on its own
This series is ideal for QA professionals looking to reduce manual efforts and ensure Data Reliability across their data pipelines. Don’t miss this opportunity to gain practical insights and adopt modern DataOps practices.
This event is jointly organized by InnovateQA and IceDQ. Registration is required, and the Zoom link will direct you to the registration page.
