Join us on January 26 for a new episode of AI42 with Terry McCann on "Graph-based processing in Apache Spark".
Session info:
This is the second session in a two-part series about advanced analytics using Apache Spark in Azure Databricks.
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 realize 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.
Agenda:
- Welcome
- Graph-based processing in Apache Spark
- Q&A
GUEST 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 a Masters's 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.