Anna-Maria Wykes

Are your data projects sinking instead of sailing to success? Break silos, boost collaboration, and drive success with DevOps! Learn to streamline teamwork, automate pipelines with CI/CD, ensure quality with testing, and build scalable, feedback-driven systems. Transform ideas into action!

Are you a DBA trying to learn more about Lakehouse’s? Or a Data Engineer wanting to better understand traditional Data Warehousing? Whether you are from a DBA or Data Engineering background, understanding the differences between traditional Warehousing systems and Lakehouse’s is invaluable. This allows us to work with both old and new, whether that be managing both side by side, ingesting from a traditional system into a Lakehouse, or moving completely away from a traditional SQL Warehouse to a Data Lake In this session we will do direct comparisons between features/functionality , illustrating how these different tools are ultimately the same and very different at the same time. Finally, we will talk about how these two technologies can be part of the same data platform solution!

Code Clubs offer an amazing opportunity to introduce our next generation to coding, with simple brightly colored drag-and-drop tooling to get them started, we are successfully inspiring many to join the tech industry. In this session I want to talk you through my journey setting up a Code Club for neurodiverse children, what I found worked, and what doesn’t. I hope that from this session you will be inspired to follow the same path I have, using your amazing tech experience to empower some of the most vulnerable children, enabling them to become inspired not just by coding, but the tech industry itself.

Azure DevOps is the leading deployment tool for build and release solutions end to end. It helps you plan your Agile project, manages Git code, and deploys solutions using Continuous Integration (CI) and Continuous Deployment (CD) pipelines. In this session we will cover some of the core components of Azure DevOps and show you how to implement a secure deployment pipeline, using unit tests and gating with your CI builds and CD releases.

Introduction into Terraform, Databricks provider and steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.

An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.

An opportunity to explore Scala, and why it is truly a “Data Engineers language”. Using Azure Functions, Data Factory, Azure Data Lake Gen2 and Databricks the basics will be explored, followed by real world examples

An opportunity to explore Scala, and why it is truly a “Data Engineers language”. Using Azure Functions, Data Factory, Azure Data Lake Gen2 and Databricks the basics will be explored, followed by real world examples