Director of Engineering for Advancing Analytics Ltd, Microsoft Data Platform MVP and Databricks Beacon. Simon is a seasoned solution architect & technical lead with well over a decade of Microsoft Analytics experience, who spends an inordinate amount of time running the Advancing Spark YouTube series. A deep techie with a focus on emerging cloud technologies and applying "big data" thinking to traditional analytics problems, Simon also has a passion for bringing it back to the high level and making sense of the bigger picture. When not tinkering with tech, Simon is a death-dodging London cyclist, a sampler of craft beers, an avid chef and a generally nerdy person.
Sessions
Previous Sessions
Data Warehouses are changing. This session will run through the architecture of the modern warehouse, from structured/unstructured Azure Data Lakes to platform as a service Azure Data Warehouse and bringing the two together.
Azure SQLDW - WHAT, WHERE, WHEN and HOW to use it.
Many existing Data Factories include large numbers of workarounds due to limitations with the service. Now that ADF V2 is available, we can restructure our Data Factories to be lean, efficient data pipelines, and this session will show you how.
Azure DataBricks is a PaaS offering of Apache Spark, which allows for blazing fast data processing! How can data engineers harness the in-memory processing power? Azure DataBricks can be your data ingestion, transformation and curation tool of choice
Ever spent an age releasing a data model, only to find no-one uses it? There's a better way of working, driven by both technology & agile working practices, let me tell you about Value Driven Development & DataOps
Databricks, Lakes & Parquet are a match made in heaven, but explode with extra power when using Delta Lake. This session will dive into the details of how Databricks Delta works and how to make the most of it.
Azure now has two slick, platform-as-a-service spark offerings, but which one should you choose? A separate specialist tools or a one-size-fits-all solution? Join Simon as he compares and contrasts the spark offerings.
A short, fast dive into the specific elements of Azure Purview that work well with Data Lakes, and how you implement them yourselves
A session following the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management they unlock