Discover modern approaches to evolve from basic to unified data infrastructure. Gain insights into core concepts and understand the crucial importance of solving this real data problem.
Understand the directional flow & context in data. Also learn about important details in the roles of data developers, data analysts, data engineers, and data product managers with key skills to develop for every persona.
Learn about the advantages of qualifying as a unified system, including the criteria for qualification, the importance of a common set of building blocks, the hierarchical model, dynamic configuration management, and the unified metadata experience.
Walk through talks about data ownership, accountability, scalability, agility, discovery and consumption. Also delve deeper into trust and reliability in data engineering and fine details of data management.
Learn about the execution of cross-functional collaboration, accessibility in data analysis, interoperability in enterprise architecture, governance and compliance in data management, and resource optimization in cloud data sources.
Know the details of data complexity, time-to-insights, agile and collaborative data workflows, autonomy and high quality, and efficiency and productivity in data-driven environments.
Understand the directional flow & context in data. Also learn about important details in the roles of data developers, data analysts, data engineers, and data product managers with key skills to develop for every persona.
Learn about the advantages of qualifying as a unified system, including the criteria for qualification, the importance of a common set of building blocks, the hierarchical model, dynamic configuration management, and the unified metadata experience.
Walk through talks about data ownership, accountability, scalability, agility, discovery and consumption. Also delve deeper into trust and reliability in data engineering and fine details of data management.
Learn about the execution of cross-functional collaboration, accessibility in data analysis, interoperability in enterprise architecture, governance and compliance in data management, and resource optimization in cloud data sources.
Know the details of data complexity, time-to-insights, agile and collaborative data workflows, autonomy and high quality, and efficiency and productivity in data-driven environments.