Dataverse holds rich, contextual business data that powers digital workers—intelligent agents that collaborate with humans in the flow of work. Learn how Model Context Protocol (MCP) enables secure, structured access to enterprise data, enhanced by semantic indexing, vector search, and retrieval-augmented generation (RAG). We’ll explore how to prepare data for agent-readiness and connect Dataverse and business files to Agent 365 for scalable, intelligent automation.

Learn how to leverage SQL Server 2017 Machine Learning Services and the R programming language to create robust, efficient data analysis and machine learning solutions. This book provides actionable insights and practical examples to help you implement and manage database-oriented analytics and predictive modeling. What this Book will help me do Understand and use SQL Server 2017 Machine Learning Services integrated with R. Gain experience in installing, configuring, and maintaining R services in SQL Server. Create and operationalize predictive models using RevoScaleR and other R packages. Improve database solutions by incorporating advanced analytics techniques. Monitor and manage R-based services effectively for reliable production solutions. Author(s) Tomaž Kaštrun and None Koesmarno bring a wealth of expertise as practitioners and educators in data science and SQL Server technologies. They share their experience innovatively, making intricate subjects approachable. Their unified teaching method ensures readers can directly benefit from practical examples and real-world applications. Who is it for? This book is tailored for database administrators, data analysts, and data scientists eager to integrate R with SQL Server. It caters to professionals with varying levels of R experience who are looking to enhance their proficiency in database-oriented analytics. Readers will benefit most if they are motivated to design effective, data-driven solutions in SQL Server environments.