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Join the Oxford Microsoft Data Platform Group on 1 November, in person in Oxford or online, for sessions on data engineering end to end in Fabric by Ed Freeman, and querying Azure SQL data using natural language by Adam Buckley.

Watch Ed's great videos on Fabric on the endjin YouTube channel, https://lnkd.in/eesGfJEg. Read Adam's inspiring blog posts on using ChatGPT with Azure SQL DB at https://lnkd.in/ePfxnKdj and https://lnkd.in/egn2Z4iU

To join in person, please register at https://lnkd.in/eMc78afu And to join online, please use https://lnkd.in/e9Z9amtc

Many thanks as ever to Corriculo Recruitment and Packt for their generous sponsorship.

This is the link to register to attend in person. To register to attend online, please use Data Engineering in Fabric \| Query Azure SQL using Natural Language (Online)

18:15- 18:30 - Networking and Refreshments 18:30: Data Engineering an End-to-End Solution in Microsoft Fabric – Ed Freeman 19:30: Break 19:45: Query your Azure SQL Data using Natural Language - Adam Buckley 20:45: Prize draw

Session details: 1. Data Engineering an End-to-End Solution in Microsoft Fabric Fabric has all these new, exciting, and intelligent features in the "unified analytics product to rule them all". So what? You're still tasked with building a real, end-to-end platform transcending much more than just any single "cool" piece of functionality. In this session we'll go through a full E2E scenario (from defining goals, architecting the "Lakehouse" solution, all the way through to operational monitoring), touching on many elements required to engineer a robust and scalable solution in Microsoft Fabric. We'll be using public Land Registry data provided by the UK Government to drive the demos, which comprises just shy of 30 million rows of House Price Paid data from the last 30 years.

2. Query your Azure SQL Data using Natural Language Are you a database developer who wants to get in on all this ChatGPT action? Maybe you want to integrate a large language model with your database without writing Python code? How about if you could do this with just simple T-SQL statements? In this session we'll dive into tsql-chatgpt which integrates an Azure SQL database with ChatGPT using just T-SQL. Automate documentation, unit testing, generate test data and more including turning natural language into SQL queries on your data.

Bio: Ed Freeman Ed is a Data Engineer at endjin who has been implementing intelligent cloud & data platforms built on Microsoft's cloud for clients of all sizes and industries for many years. He is particularly passionate about Power BI, Fabric and Microsoft data platform services as a whole, and has spoken at international conferences on such topics. He also blogs, creates video content and heads-up Power BI Weekly, a free weekly newsletter to help the community keep up to date with the latest and greatest developments from the Power BI ecosystem. https://endjin.com/who-we-are/our-people/ed-freeman/ https://powerbiweekly.info/

Adam Buckley Adam is an experienced leader in Data and Software Engineering, working with Microsoft Data & AI technologies over the last 30 years for many organisations including Logica, Nike, Transunion and most recently Microsoft. Adam has previously published apps for Apple's iPhone and iPad and now focuses on helping customers migrate large on-premise workloads to the Azure platform. Adam’s blog posts: https://www.linkedin.com/pulse/automate-documentation-testing-azure-sql-using-chatgpt-adam-buckley/ https://www.linkedin.com/pulse/query-your-data-azure-sql-using-natural-language-chatgpt-adam-buckley/

This is an Online event, the Teams link is on the right of this page for those who have registered. To register to attend in person, please use Data Engineering in Fabric \| Query Azure SQL using Natural Language (In Person)

18:15- 18:30 - Networking and Refreshments 18:30: Data Engineering an End-to-End Solution in Microsoft Fabric – Ed Freeman 19:30: Break 19:45: Query your Azure SQL Data using Natural Language - Adam Buckley 20:45: Prize draw

Session details: 1. Data Engineering an End-to-End Solution in Microsoft Fabric Fabric has all these new, exciting, and intelligent features in the "unified analytics product to rule them all". So what? You're still tasked with building a real, end-to-end platform transcending much more than just any single "cool" piece of functionality. In this session we'll go through a full E2E scenario (from defining goals, architecting the "Lakehouse" solution, all the way through to operational monitoring), touching on many elements required to engineer a robust and scalable solution in Microsoft Fabric. We'll be using public Land Registry data provided by the UK Government to drive the demos, which comprises just shy of 30 million rows of House Price Paid data from the last 30 years.

2. Query your Azure SQL Data using Natural Language Are you a database developer who wants to get in on all this ChatGPT action? Maybe you want to integrate a large language model with your database without writing Python code? How about if you could do this with just simple T-SQL statements? In this session we'll dive into tsql-chatgpt which integrates an Azure SQL database with ChatGPT using just T-SQL. Automate documentation, unit testing, generate test data and more including turning natural language into SQL queries on your data.

Bio: Ed Freeman Ed is a Data Engineer at endjin who has been implementing intelligent cloud & data platforms built on Microsoft's cloud for clients of all sizes and industries for many years. He is particularly passionate about Power BI, Fabric and Microsoft data platform services as a whole, and has spoken at international conferences on such topics. He also blogs, creates video content and heads-up Power BI Weekly, a free weekly newsletter to help the community keep up to date with the latest and greatest developments from the Power BI ecosystem. https://endjin.com/who-we-are/our-people/ed-freeman/ https://powerbiweekly.info/

Adam Buckley Adam is an experienced leader in Data and Software Engineering, working with Microsoft Data & AI technologies over the last 30 years for many organisations including Logica, Nike, Transunion and most recently Microsoft. Adam has previously published apps for Apple's iPhone and iPad and now focuses on helping customers migrate large on-premise workloads to the Azure platform. Adam’s blog posts: https://www.linkedin.com/pulse/automate-documentation-testing-azure-sql-using-chatgpt-adam-buckley/ https://www.linkedin.com/pulse/query-your-data-azure-sql-using-natural-language-chatgpt-adam-buckley/