Introducing our SQLBits 2022 Speakers!

We are proud gold sponsors of SQLBits 2022 and with less than a month to go, we thought we would introduce you to all the Adatis speakers and their sessions.

Wednesday 9th March 

Liam Doyle & Tom Jordan – Opening the Black Box – Machine Learning on Azure (Training Day)

Everyone has heard of the term “Machine Learning”, but often this can be a bit of a black box. We see impactful examples of machine learning everywhere, but many people are not sure of how to get started in using it themselves.

In this training session, learn how to easily build your own machine learning solutions using two powerful Azure tools – Azure Machine Learning and Azure Databricks. The session will be interactive and you will have hands-on experience designing solutions for a range of interesting machine learning use cases. No prior knowledge of data science or of these specific tools is required.

Watch this video to find out more about the training day and how you can win an Oculus VR Headset on the day!

Thursday 10th March 

Ben Jarvis – Patterns for Master Data Management in Azure

In this session delivered by Principal Consultant, Ben, we will explore master data management and the benefits it can bring to your organisation. Learn what master data management is, understand the different types / levels of maturity that can be adopted and then dive into a real-world example. You’ll also explore how you can serve mastered data to other applications within the organisation and provide business users with a method to amend and enrich mastered data. This session is based on learnings from real-world master data management projects and will explore how we can adopt an iterative approach to master data management, using Azure Databricks with ready-built open source implementations of matching algorithms to enrich our matching engine and ensure we get the highest possible match rate. No specific prior knowledge is required to attend this session however, some understanding of Azure services such as Databricks is useful.

Liam Doyle – What makes Databricks a powerful Machine Learning tool?

This session by Senior Consultant Liam, is designed to explore some of the powerful features that made Databricks the leader in the Gartner 2021 Quadrant for Data Science and Machine Learning. Liam will demonstrate how to leverage these features to develop, deploy and iteratively improve our ML models whilst using the MLOps capabilities of MLFlow to streamline the deployment process. This is a level 200 session and some prior experience with Databricks and Machine Learning will be useful.

Saturday12th March 

Lazaros Viastikopoulos – Optimising Power BI Reports for Mobile

As the number of organisations using mobile apps is increasing, mobile is changing the way we consume information. Whether you are a C-Level executive, regional manager, salesperson, or any other employee, you need to have access to information on the fly for making faster and better-informed decisions. In this demo-led session,  Our Senior Power BI Consultant, Laz, will be using various features of Power BI to optimise a Power BI report for mobile, therefore making a Power BI mobile report look and feel as good as a Power BI Desktop report. Attendees will see the various features that support mobile development, how to layer items, performance considerations, and how to make a mobile report cohesive with the standard report. This session would be ideal for anyone looking to create Power BI mobile reports that are cohesive with reports developed in Power BI Desktop.

Piotr Mucha – Run your SSIS packages in Azure Data Factory

Many companies still use extensively on-prem solutions based SQL Server Integration Services (SSIS). They have invested a lot in the platform, highly skilled people and, naturally, are reluctant to move to the cloud, afraid to rewrite thousands of lines of the code. During this session by Senior Consultant, Piotr, you will see how easy it is to lift and shift the SSIS packages to Azure cloud. We will cover end-to-end process, starting from provisioning Azure-SSIS Integration Runtime (IR) in Azure Data Factory (ADF), through deployment, configuration, execution and monitoring of the SSIS packages.

Ben Jarvis – Patterns for Master Data Management in Azure

In this session delivered by Principal Consultant, Ben, we will explore master data management and the benefits it can bring to your organisation. We’ll explore what master data management is, understand the different types / levels of maturity that can be adopted and then dive into a real-world example to understand how we can utilise PaaS services in Azure to build a matching engine that can match and master large amounts of data in a scalable and future-proof manner. Finally, we’ll explore how you can serve mastered data to other applications within the organisation and provide business users with a method to amend and enrich mastered data.

This session is based on learnings from real-world master data management projects and will explore how we can adopt an iterative approach to master data management, using Azure Databricks with ready-built open source implementations of matching algorithms to enrich our matching engine and ensure we get the highest possible match rate. No specific prior knowledge is required to attend this session however, some understanding of Azure services such as Databricks is useful.

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