DataOps is a set of practices that focus on improving the speed, quality, and reliability of data delivery in an organization. It combines the principles of Agile development, DevOps, and Lean manufacturing to create a streamlined, automated, and collaborative approach to data management.

Join us as we review the following:

• What is DataOps?
• Difference between DevOps and DataOps
• Skills needed to be a good Data Engineer
• How to build an effective DataOps team
• Common use cases for DataOps
• What a DataOps solution looks like
• How will it impact various roles (Management, Modeler, Analyst, or Enterprise Architect)
• Case study and lessons learned

Speaker: Doug Needham

Doug "The Data Guy" Needham started his career as a Marine Database Administrator supporting operational systems that spanned the globe in support of the Marine Corps missions. Since then, Doug has worked as a consultant, data engineer, and data architect for enterprises of all sizes. Currently working as a Data Scientist tinkering with Graphs, Enrichment Platforms, and showing others how to get more meaning from data. Always focusing on the Data Operations side of ensuring data moves throughout the Enterprise.

Speaker: Mark Horseman

Mark is an IT professional with nearly 20 years of experience and acts as the "Data Evangelist" for DATAVERSITY. Mark moved into Data Quality, Master Data Management, and Data Governance early in his career and has been working extensively in data management since 2005. Previous to his work at DATAVERSITY, Mark led Information Management initiatives in both private and public sector organizations.