DataOps in Data Analytics

Key Highlights

• DataOps methodology: A collaborative, automated, and process-oriented approach merging DevOps and agile methodologies to manage data. Its aim is to ensure high-value delivery and risk management in alignment with business goals.
• DataOps architecture design: The whitepaper explores the architecture design of DataOps, with a specific focus on its implementation on Azure Cloud and its relevance in modern data warehouses.
• Experian report insights: Key findings from the Experian global data management report highlight that a DataOps solution can effectively address various data challenges faced by organizations. Trust in data is crucial for unlocking business benefits.
• Organizational imperatives: Organizations are urged to invest in data management to drive innovation and cope with the growing volume of data. The need for structured yet flexible processes around data is emphasized to establish trust and adapt to diverse data usage contexts.