As Chief Cloud Architect with Adatis Consulting, Simon has been working with the Microsoft BI Stack for a decade, starting off building traditional warehouses with SSIS and SSAS but bringing in alternative technologies where needed. Most recently, he has turned his head to the clouds, advocating new methods of getting insight to the right people. Whether it's automating file ingestion into Azure Data Lakes, applying massive compute via SQLDW & Data Lake Analytics, or simply shifting your current SSIS packages into the cloud, he can help.

Simon is a strong advocate of the use of modern development practices in the SQL World (we actually are developers, whether we like it or not) and runs the SQL Surrey PASS chapter & co-organises the London PASS Chapter.
Simon Whiteley has submitted 3 sessions for SQLBits 2019, although the agenda hasn't been chosen yet. See all submitted sessions.

Pending Sessions

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
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
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

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.
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