What do you do when you have thousands of data pipelines in production? Is there a way that you can visualize what is happening in production quickly and easily?
Data Quality Circles: The Key to Elevating Data and Analytics Team Performance
DataOps Quality Circles are focused teams within data and analytics organizations that meet weekly or monthly to drive continuous improvement, quality automation, and operational efficiency. By leveraging the principles of DataOps, these circles ensure that data processes are error free, consistent, and aligned with business goals.
DataOps and Data Observability Education And Certification Offerings From DataKitchen
Dive into DataOps and Data Observabiity with DataKitchen’s expansive free training and certification offerings tailored for individual Data Analytics, Science, and Engineering contributors. From grasping the foundational principles through the free DataOps Cookbook, over 30,000 readers strong, to hands-on certification courses in DataOps, Data Observability, and Automation, each pathway illuminates critical skills and insights. Moreover, senior managers can elevate their teams with advanced DataOps Change Management strategies, making every step from theory to certification educational and transformational.
Webinar Summary: Introducing Open Source Data Observability
Christopher Bergh detailed the company’s release of new open-source tools to enhance DataOps practices by addressing common inefficiencies and errors within data teams. During the webinar, he demonstrated how these tools provide robust data observability and automated testing to improve productivity and reliability across data operations.
Why We Open-Sourced Our Data Observability Products
Why open source DataOps Observability and DataOps TestGen? Our decision to share full-featured versions of these products stems from DataKitchen’s long-standing commitment to enhancing productivity for data teams and promoting the use of automated, observed, and trusted tools. It aligns with our company’s philosophy of sharing knowledge and now software to inspire teams to implement DataOps effectively.
Webinar Summary: Agile, DataOps, and Data Team Excellence
Gil Benghiat, co-founder of Data Kitchen, began by explaining the overarching goal of achieving data team excellence, which involves delivering business value quickly and with high quality. He detailed data teams’ everyday challenges, such as balancing speed and quality, and the impact of Agile methodologies borrowed from software development practices.
Congratulations to the Karuna Team for their acquisition!
Today, Bristol Myers Squib (BMS) has fully acquired Karuna Therapeutics. We congratulate our customer on an amazing success.
Embracing Agility and Excellence in Data Operations: The DataKitchen DataOps Way
DataKitchen’s DataOps services are designed to empower teams at various stages of their DataOps adoption, providing a flexible and comprehensive roadmap to operational excellence
Announcing the DataOps Cookbook, Third Edition
The new idea showcased in the third edition of the DataOps Cookbook is to focus first on understanding and observing the journey that data takes through your production environment – from ingestion to processing to delivering actionable insights. The DataOps Cookbook-‘Data Journey First DataOps’ Third Edition
A Summary Of Gartner’s Recent Innovation Insight Into Data Observability
On 20 July 2023, Gartner released the article “Innovation Insight: Data Observability Enables Proactive Data Quality” by Melody Chien.
DataKitchen Summarizes and comments
