Graph based processing in Apache Spark

This is the second session in a two parts series about advanced analytics using Apache Spark in Azure Databricks. You can find part one here: https://www.youtube.com/watch?v=17peInTWSC4 In this session we will have a look at how you can get started with graph based processing, using graph frames in Apache spark. The combination of big data, machine learning and graph based processing, helps to fully realise the full spectrum of advanced analytics. Through this series you will learn the fundamentals of Spark and how it is enabled on Databricks. You will also be able to begin to work with Machine Learning & Advanced Analytics in Spark. Spark is one of the most desirable skills on the market. Integrating with big data pipelines is fundamental to the success of Machine Learning with Big Data. About the Speaker: Terry is a Microsoft Artificial Intelligence MVP, awarded in recognition of his contributions to the Microsoft Data Science & Artificial Intelligence communities. His focus is on all things AI and Data Science. Terry has a passion for applying traditional Software Engineering techniques to Data, to improve the way teams deliver Machine Learning projects. Terry holds an Masters degree in Machine Learning and is continually interested in the application of academic research in industry. Terry is the host of the popular podcast Data Science in Production, where he interviews leading Data Scientists. His spare time is spent with his wife and two boys in their home in Devon. Agenda 17:00 - 17:05 Welcome 17:05 - 17:55 Graph based processing in Apache Spark 17:55 - 18:05 Q&A