| Session | When |
| A Data Engineer's Guide to Azure Synapse | 8th@09:00 |
| A Day of Azure Data Explorer | 8th@09:00 |
| Beginner's Guide to Data Integration using Azure Data Factory or Azure Synapse Analytics | 8th@09:00 |
| Data Governance in a Nutshell – From Theory to Hands-On with Azure Purview | 8th@09:00 |
| How to build a data warehouse solution for your analytical workloads | 8th@09:00 |
| Notes from the Field: A Guide to Modern SQL Server Availability Architectures | 8th@09:00 |
| Power BI - Zero To Dashboard | 8th@09:00 |
| Professional Azure DevOps for the real-world | 8th@09:00 |
| Spark for Data engineers | 8th@09:00 |
| Achieving DevOps Nirvana: Automating Azure Data Platform Deployments with Terraform | 9th@09:00 |
| Analytics at scale with Power BI and Azure Synapse | 9th@09:00 |
| Automate your DBA tasks with dbatools and dbachecks | 9th@09:00 |
| Azure Data Integration Pipelines - Advanced Design and Delivery | 9th@09:00 |
| Azure from Admin to Architect | 9th@09:00 |
| Cracking Power BI Performance Tuning in a day! | 9th@09:00 |
| Finding Problems and Stabilizing Performance with Query Store | 9th@09:00 |
| Get there faster with Machine Learning in Azure Synapse | 9th@09:00 |
| Improve Power BI performance by optimizing DAX | 9th@09:00 |
| Opening the Black Box - Machine Learning on Azure | 9th@09:00 |
| Power BI Administration and Governance training class | 9th@09:00 |
| Azure SQL availability and resiliency for non-stop applications | 10th@10:10 |
| Building a robust deployment pipeline in Power BI | 10th@10:10 |
| Enterprise Row Level Security in SQL Server and Power BI | 10th@10:10 |
| How to model and partition data in a distributed NoSQL database for cloud scale | 10th@10:10 |
| How to Troubleshoot SQL Server CPU Problems | 10th@10:10 |
| Partitioning for Beginners | 10th@10:10 |
| The fundamentals of building a lakehouse with Synapse | 10th@10:10 |
| Analyzing Azure Monitor Log data in Azure Data Studio | 10th@11:30 |
| Building your first Metadata Driven Azure Data Factory | 10th@11:30 |
| Creating Tables In Power Query And M Using #table() | 10th@11:30 |
| Overview of Azure Synapse Analytics | 10th@11:30 |
| The Serverless Azure Database | 10th@11:30 |
| Why You Need Query Store | 10th@11:30 |
| You CAN Run SQL at Scale in the Cloud! | 10th@11:30 |
| Database Projects 101 in ADS | 10th@12:00 |
| Different dimensions of monitoring and tuning performance for Azure SQL | 10th@12:00 |
| Empowering every individual with Power BI | 10th@12:00 |
| Heathrow’s Data Transformation – How to rapidly build out a data engineering function | 10th@12:00 |
| Lessons in Lakehouse Automation | 10th@12:00 |
| Low-Code Data Preparation using Power Query Dataflows | 10th@12:00 |
| Notebooks - standardized enterprise solution for better story telling. | 10th@12:00 |
| Patterns for Master Data Management in Azure | 10th@12:00 |
| Real-world AI Architectures | 10th@12:00 |
| Introduction to continuous integration and delivery with Azure DevOps (20 min edition) | 10th@13:40 |
| Options for Proactively Managing Statistics in SQL Server | 10th@13:40 |
| Power BI bookmarks in 20 minutes | 10th@13:40 |
| The Dream Team: Synapse Analytics Serverless SQL Pools and Pipelines | 10th@13:40 |
| About time: how to work with timeseries in Azure | 10th@14:10 |
| Azure DevOps Release Pipelines for SQL Databases, Azure Data Factories, and Analysis Models | 10th@14:10 |
| Cost cutting strategies for Azure Cosmos DB | 10th@14:10 |
| Jamstack Foundations: Building Scalable API from the Ground Up | 10th@14:10 |
| There is a time and a place for everything | 10th@14:10 |
| Enterprise and multi-tier Power BI deployments with Azure DevOps. | 10th@15:20 |
| How to Build Secure, Scalable, and Highly Available Applications with Azure SQL Database | 10th@15:20 |
| How to solve common data security requirements | 10th@15:20 |
| Introduction to Bicep for the Cloud DBA | 10th@15:20 |
| ksqlDB - The Real-Time Streaming Database | 10th@15:20 |
| Power BI Map Magic - Make amazing maps with Power BI | 10th@15:20 |
| Reporting on 1.4B rows with Serverless SQL Pools | 10th@15:20 |
| What makes Databricks a powerful Machine Learning tool? | 10th@15:20 |
| 10 Cool Things about SQL MI | 10th@16:40 |
| 10 tips for a successful migration from Databricks and ADF to Synapse | 10th@16:40 |
| Bringing Data Lakes to your Purview | 10th@16:40 |
| Dealing with Bad Networks - The Availability Conundrum | 10th@16:40 |
| Five steps to create a data-driven culture | 10th@16:40 |
| Managing Power BI workspaces | 10th@16:40 |
| Azure Data Factory, Azure Logic Apps and Power BI for everyone | 10th@17:10 |
| Bringing Power BI into the Dataverse (and bringing Dataverse into Power BI) | 10th@17:10 |
| Creating a Metadata Driven Orchestration Framework Using Azure Data Integration Pipelines | 10th@17:10 |
| Data Lakehouse, Data Mesh, and Data Fabric (the alphabet soup of data architectures) | 10th@17:10 |
| Docker & Kubernetes for the Data Scientist | 10th@17:10 |
| Get Microsoft Certified. This is what you need to know | 10th@17:10 |
| Looking under the hood of the parquet format | 10th@17:10 |
| .NET development stack for Azure SQL: SqlClient 4.0 and EF Core 6 | 11th@10:10 |
| 3 things you don’t want to store in a database (but sometimes have to) | 11th@10:10 |
| Azure SQL Database - A true story journey from migration, through synchronization and beyond. | 11th@10:10 |
| Deep Inside Azure SQL High Availability | 11th@10:10 |
| Github and Azure DevOps Duet - SQLBits edition | 11th@10:10 |
| Implementing a Data Quality Framework in Purview | 11th@10:10 |
| Link feature for Managed Instance | 11th@10:10 |
| Power BI Security and Governance Pitfalls and How to Avoid Them | 11th@10:10 |
| Unified insights and staying ahead of performance issues all within a single view for Hybrid Env | 11th@10:10 |
| Dba toolset - Getting things done when the pressure is on | 11th@11:30 |
| Digital Twins - The need for connected data | 11th@11:30 |
| Erin & Monica’s Favorite SQL Stuff | 11th@11:30 |
| Lessons learned from managing Azure Data platforms! Put your data hat on! | 11th@11:30 |
| Leveraging Apache Spark for Efficient Data Encryption at Scale | 11th@11:30 |
| Power BI Licensing in 20 Minutes | 11th@11:30 |
| Apache NiFi 101: Introduction and Best Practices | 11th@12:00 |
| Embedding SQL security practices in your pipelines | 11th@12:00 |
| Enabling teams with Power BI | 11th@12:00 |
| How to build HTAP workloads using Azure Cosmos DB and Azure Synapse Link | 11th@12:00 |
| Lake Database with Database Template and Mapping Data with Azure Synapse Analytics | 11th@12:00 |
| The Evolution of Data Platform Architectures in Azure - Lambda, Kappa, Delta, Data Mesh | 11th@12:00 |
| Unified Data Governance with Azure Purview | 11th@12:00 |
| 0 to an fully functional teams bot in 20 minutes! | 11th@13:40 |
| AutoML: An Introduction To Get You Started | 11th@13:40 |
| Roche's Maxim of Data Transformation | 11th@13:40 |
| Self Service Data Access Provisioning With Azure Purview | 11th@13:40 |
| Spring clean your data lake with Database Templates for Synapse Analytics | 11th@13:40 |
| 5 Power Automate flows that could give immediate value in your organization | 11th@14:10 |
| Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer | 11th@14:10 |
| BI Power Hour | 11th@14:10 |
| Data Governance with Azure Purview - Ask the Experts | 11th@14:10 |
| Modern T-SQL for Better Performance | 11th@14:10 |
| Scaling applications on Azure SQL Hyperscale | 11th@14:10 |
| Azure Arc-enabled SQL MI – More than just another kind of SQL Server | 11th@15:20 |
| Here’s the execution plan … now what? | 11th@15:20 |
| Keeping your data fresh in Power BI | 11th@15:20 |
| Machine Learning in Azure Synapse | 11th@15:20 |
| Power BI Governance: 6 steps to success | 11th@15:20 |
| So you want to be a Data Engineer? | 11th@15:20 |
| Your Performance Tuning Check List | 11th@15:20 |
| 2 Fast 2 Furious - designing for speed, concurrency, and correctness (20 min edition) | 11th@16:40 |
| Azure Data Engineering services used to analyze data | 11th@16:40 |
| Cosmos 101 | 11th@16:40 |
| Handle Azure SQL Auditing with Ease | 11th@16:40 |
| How To Use Azure Managed Identities | 11th@16:40 |
| My SQL and OSS on Azure | 11th@16:40 |
| Network Security & Connectivity features for SQL Data Services | 11th@16:40 |
| The Cloud Never Goes Down, Right? | 11th@16:40 |
| When you should avoid using bidirectional filters in Power BI | 11th@16:40 |
| "Cultivating the Catalogue" - Growing Data Governance with Azure Purview | 11th@17:10 |
| Azure Data Factory - A deployment challenges | 11th@17:10 |
| Azure SQL Network Security | 11th@17:10 |
| Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing Startup | 11th@17:10 |
| Power BI Development on Steroids | 11th@17:10 |
| Why is understanding Kubernetes important for your career as a Data Professional? | 11th@17:10 |
| Advanced data modeling with Power BI | 12th@08:00 |
| Building and managing a Data Platform in Azure | 12th@08:00 |
| Evolving your Power BI Architecture using Dataflows and Shared Datasets | 12th@08:00 |
| Less Clicking, More Coding! Data Platform Development Using Infrastructure as Code | 12th@08:00 |
| Practical Lakehouse implementation in the enterprise | 12th@08:00 |
| AMA with the Microsoft Engineering team hosted by Bob Ward | 12th@09:30 |
| Azure DevOps trio | 12th@09:30 |
| Building the Lakehouse Architecture with Azure Synapse Analytics | 12th@09:30 |
| Dedicated SQL Pools : How some stuff 'really' works | 12th@09:30 |
| Power BI dataflows? Why you need to implement it! | 12th@09:30 |
| What is Azure Purview and Why Do I Need It? | 12th@09:30 |
| (Almost) all about Azure Arc - in 20 Minutes | 12th@10:50 |
| Introducing Synapse Analytics Data Explorer pools | 12th@10:50 |
| Introduction to PowerShell | 12th@10:50 |
| Sensitivity labels - what do they look like | 12th@10:50 |
| Synapse Data Flows - Will Citizen ETL Replace the Data Engineer? | 12th@10:50 |
| Automate the deployment of Databricks components using Terraform | 12th@11:20 |
| Azure Synapse Analytics Pipelines: a 360-degree view | 12th@11:20 |
| Data Governance with Azure Purview - Theory, Customer Insights and Demos | 12th@11:20 |
| Data Science and Analytics: Real-World Experience from Diverse voices in the field | 12th@11:20 |
| Monster Data Loading with Synapse | 12th@11:20 |
| Performance Tuning Power Query And Dataflows In Power BI | 12th@11:20 |
| Scaling SQL for your Peak Database Load | 12th@11:20 |
| What's New in Azure SQL MI | 12th@11:20 |
| Azure Data Engineer Skills for Success | 12th@12:50 |
| Azure SQL Database customer success stories for IoT workloads | 12th@12:50 |
| Five steps to create a data-driven culture | 12th@12:50 |
| Is HTAP the future? | 12th@12:50 |
| Lipstick On a Pig - Remaking a Power BI Report in 20 Minutes | 12th@12:50 |
| Networking unlocked for the Azure Data Services | 12th@12:50 |
| PBI Premium Gen2 or: how I learned to stop worrying and love vertipaq | 12th@12:50 |
| Azure Container Apps for Data Engineers | 12th@13:20 |
| Enterprise Scale Analytics - What's in it for me | 12th@13:20 |
| Learn SQL through architecture | 12th@13:20 |
| Modern Infrastructure Fundamentals for SQL Server | 12th@13:20 |
| Selecting the correct Azure Data Solution for your application | 12th@13:20 |
| SQL Assessment - Microsoft's Best Practices Checker | 12th@13:20 |
| The Fundamentals of DAX Contexts | 12th@13:20 |
| The modern Cloud Data Warehouse - Snowflake on Azure | 12th@13:20 |
| Applying a Security Mindset to Lockdown Azure SQL Database | 12th@14:40 |
| EDW Automation in Synapse SQL Pools | 12th@14:40 |
| Hitting Top Speeds with Spark SQL in Azure Synapse | 12th@14:40 |
| Intelligent Query Processing | 12th@14:40 |
| Latest News for Data Security | 12th@14:40 |
| Migration to Azure Customer Experiences & Best Practices | 12th@14:40 |
| Prep for Exam DP-420 and the Azure Cosmos DB Developer Specialty Microsoft Certification | 12th@14:40 |
| The "Meta-verse" - Using metadata to build your pipelines in less than 20 min | 12th@14:40 |
| Automate management tasks using elastic jobs in Azure SQL Database | 12th@15:50 |
| Azure Machine Learning for everyone | 12th@15:50 |
| Mitigate performance problems using Query Store hints | 12th@15:50 |
| Moving away from One Model to rule them all | 12th@15:50 |
| Unified insights and staying ahead of performance issues all within a single view for Hybrid Env | 12th@15:50 |
| What to tell your security team about Power BI? | 12th@15:50 |
