Building Your Data Analytics Team - live RunAs Radio episode

The Next Frontier: Azure OpenAI Models and the Arrival of GPT-4

This one-hour session will provide you with insights into the cutting-edge GPT-4 model and how Azure enables you to harness its capabilities for innovative AI applications. Whether you are a developer, data scientist, business professional, or simply interested in the future of AI, this session will equip you with knowledge about the latest advancements in the field.

Using Automated ML models in Azure Synapse Analytics

In this session, you will get to learn how to enrich your data in spark tables with models created using Automated ML in Azure Synapse Analytics. We will be looking at a demo where we will create regression and classification models using Automated ML and how to use these models for prediction in Azure Synapse Analytics.

Value of DevOps Release Process in Data Teams

Have you ever wondered why release plans, approaches, and environments are important in the world of data operations? Many data professionals come from various backgrounds without prior software development experience, leading to questions about the necessity of these concepts. In this session, we will discuss the significance of DevOps Release Processes for data teams. We will explore how insufficient processes can lead to delays in deployment, introduce breaking changes, hinder team collaboration and result in multiple releases.

Introduction to the wonders of Azure DevOps

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.

Spark Execution Plans for Databricks

Introduction into Spark Execution Plans for Databricks for optimizing code and execution.

Automate the deployment of Databricks components using Terraform

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.

Building Tomorrow's Warehouse Today: Modern Data Warehouse Modelling Insights

This session explores the fundamental shifts in data warehousing architecture and data processing design principles

The Decentralized Data Access Revolution

During this session, we will discuss why many companies shift towards decentralized data access architectures. We will discuss Data Mesh and Data Fabric paradigms, and explore their principles, benefits and challenges.

Analyzing Big Data in Azure cloud using Spark and Databricks

During this session, we will talk about Azure Databricks' key features, and typical scenarios where Spark can fit, will see a lot of demos and I will share my top list of Azure Databricks best practices.

Building Trust in Teams

Today businesses run on software, and the quality of that software is directly affected by the level of trust the team members responsible for that software have with each other - from management to developers to operations folks to data administrators - everyone has a hand in the success of software, but without trust, that success is hampered. What can you do to improve the levels of trust in your team? Join Richard Campbell and a panel of experts as they discusses their experiences building trust within teams with time, effort, honesty and pizza.