From DevOps to DataOps: A Fireside Chat on Practical Strategies for Effective Data Productivity
Top priorities for data-driven organizations are data productivity, cost reduction, and error prevention. The four strategies to improve DataOps are:
- start with small, manageable improvements,
- follow a clear blueprint,
- conduct regular data reviews, and
- gradually introduce best practices across the team.
In a recent fireside chat, CL Kao, founder of Recce, and Noel Gomez, co-founder of Datacoves, shared their combined experience of over two decades in the data and software industry. They discussed practical strategies to tackle these challenges, the evolution from DevOps to DataOps, and the need for companies to focus on data quality to avoid costly mistakes.
