
Paul Andrew
Paul (AKA @mrpaulandrew) is the Co-Founder & CTO of Cloud Formations, a specialist data consultancy based in the UK. With nearly 20 years’ experience designing and delivering Microsoft data architectures, Paul leads a passionate team of engineers, supporting businesses small and large with scalable cloud platforms. Business value delivered through data insights. Over the years, Paul has covered the breadth and depth of design patterns and industry leading concepts, including Lambda, Kappa, Delta Lake, Data Mesh and Data Fabric.
Paul is also a Microsoft Data Platform MVP, director for the Data Relay community conference, East Midlands user group leader, book author and mentor. In addition to the day job(s), Paul is a father of three, husband, foodie, runner, blood donor, geek, Lego, and Star Wars fan! Lastly, Paul confesses to enjoying a Ramstein playlist when given half a chance to do some coding for a customer project.
Paul Andrew's Training Days
Microsoft Data Integration Pipelines – The Fundamentals to Level 300SQLBits 2024
Start this full day of training with the fundamentals of data pipelines before building the skills needed to orchestrate an entire data platform solution. We’ll focus Azure Data Factory as the mature resource, but also cover Synapse Analytics and Microsoft Fabric pipelines.
Azure Data Integration Pipelines - Advanced Design and DeliverySQLBits 2022
In this full day training data session, we'll quickly cover the fundamentals of data integration pipelines before going much deeper into our Azure resources.
A Day Full of Azure Data FactorySQLBits 2020
In this full-day workshop, you will learn the skills you need to build and orchestrate hybrid, complex and scalable data pipelines using Azure Data Factory (ADF).
Business Intelligence in AzureSQLBits 2018
Learn how to architect hybrid business intelligence solutions using Microsoft Azure, including batch and real time data, small and big data, structured and unstructured data, using all the tools Azure has to offer.
Paul Andrew's Sessions
An Engineers Guide To Realtime Data Handling And AnalyticsSQLBits 2024
As a platform, we’ll use Azure Event Hub and Azure Stream Analytics to ingest and handle that initial data stream. Before applying the same patterns to other resources in Microsoft Fabric and Azure Data Explorer. Understanding the patterns to apply as an architect vs the tooling available for delivery.
An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & FabricSQLBits 2024
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
Building an Azure Data Analytics Platform End-to-EndSQLBits 2023
Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
Creating a Metadata Driven Orchestration Framework Using Azure Data Integration PipelinesSQLBits 2022
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
The Evolution of Data Platform Architectures in Azure - Lambda, Kappa, Delta, Data MeshSQLBits 2022
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
ETL in Azure Made Easy with Data Factory Data FlowsSQLBits 2020
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
Using Azure DevOps for Azure Data FactorySQLBits 2020
DevOps as a concept does not always translate to the technology when implemented. In this session we'll explore that problem when working with Azure Data Factory and what the different cloud only CI/CD options are.
Complex Azure Orchestration w Dynamic Data Factory PipelinesSQLBits 2019
If you have already mastered the basics of Azure Data Factory (ADF) and are now looking to advance your knowledge of the tool this is the session for you.
Azure Data Lake-The Services. The SQL. The Sharp.SQLBits 2018
Let’s understand the role of this hyper-scale two tier big data technology and how to harness its power with U-SQL, the offspring of T-SQL and C#. We’ll cover everything you need to know to get started developing solutions with Azure Data Lake.
Building an End to End IoT Solution Using Pi Sensors & AzureSQLBits 2017
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.
An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & FabricSQLBits 2024
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
Building an Azure Data Analytics Platform End-to-EndSQLBits 2023
Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
Creating a Metadata Driven Orchestration Framework Using Azure Data Integration PipelinesSQLBits 2022
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
ETL in Azure Made Easy with Data Factory Data FlowsSQLBits 2020
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
Using Azure DevOps for Azure Data FactorySQLBits 2020
DevOps as a concept does not always translate to the technology when implemented. In this session we'll explore that problem when working with Azure Data Factory and what the different cloud only CI/CD options are.
Complex Azure Orchestration w Dynamic Data Factory PipelinesSQLBits 2019
If you have already mastered the basics of Azure Data Factory (ADF) and are now looking to advance your knowledge of the tool this is the session for you.
Building an End to End IoT Solution Using Pi Sensors & AzureSQLBits 2017
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.