Applied analytics with Azure Databricks | Tomaz Kastrun

Network, learn, ask a question, meet other folks - these are all things that happen at user group events. These events are a really great opportunity to socialise in an informal learning experience.

Remember to tell your friends and the people you work with; make sure you register as soon as you can.

Online event only - Link provided to those who sign up. Not being recorded.

17:45 – 18:00 - Intro and updates

18:00 - 19:00 - Azure Databricks is an Apache Spark–based analytics service for big data analytics. Data Engineers, business analysts and data scientists can now collaborate on this modern cloud platform.
Collaboration happens in all data cycles; from ingestion, storing data, transformation and harvesting the information, by using practical notebooks with the language of choice. From SQL to R, Python, Scala, you can build analytical and machine learning solutions, and deliver the best information needed at the right time. Using notebooks, we will uncover the practicalities of machine learning predictions.

Tomaž Kaštrun (t:@tomaz_tsql) is BI / DEV developer and data analyst. With more than 15 years of experiences in the field of databases, business warehouses and development, with focus on T-SQL programming and query optimization. Besides BI development, his focus is also also data mining, statistics and research.

He has been working with Microsoft SQL Server since version 2000. He is also Microsoft Certified Professional, Microsoft trainer and Microsoft Data Platform MVP.

Tomaž is a blogger, author of many articles, speaker at various community and Microsoft events and an avid coffee drinker.

In 2017, with co-author Julie Koesmarno (twitter),he wrote a book: SQL Server 2017 Machine Learning Services with R, available on Amazon.com.