The Latest Improvements of CDS CDM and Data with Maya Dumesh

FULL SHOW NOTEShttps://podcast.nz365guy.com/190Life and career background of Maya Dumesh – where she lives, her hobbies and describes the community she grew up in A conversation about Maya’s journey to working with Microsoft Discusses Maya’s focus, role and responsibilities as Principal Program Manager for data An introduction to Data storage Discusses the difference between Common Data Model (CDM) and Common Data Service (CDS) Talks about the different types of Data that can be stored in a CDS in different format using different fields How is the CDM related to CDS The best practices for handling CDS and CDM A discussion around data security in the implementation of CDS Explained the benefits of CDS and CDM to Dynamics 365 Users A conversation about the latest improvements to data storage in CDS and CDM The different types of data being introduced to CDS  The importance of Common Data Service when using PowerApps or Power BI Maya’s views around CDS when it comes to AI in the future Introduction to minority data and the use cases Maya sees that people are starting to adapt to it With the separation between Dynamics 365 applications and Data storage with CDS, what support they offer for Dynamics 365 users The future of CDS Maya’s long–term views on the possible changes coming to CDS in the next 12 months Relationship of CDS to Power BI dataflows What Maya meant by – “when considering data, you should focus on the application need more than just a data need.” Lessons Maya has learnt and what was the journey like since the split out of relational unstructured data log and log data Microsoft 365 Copilot Adoption is a Microsoft Press book for leaders and consultants. It shows how to identify high-value use cases, set guardrails, enable champions, and measure impact, so Copilot sticks. Practical frameworks, checklists, and metrics you can use this month. Get the book: https://bit.ly/CopilotAdoptionSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening 🚀 - Mark Smith