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"Stop that!": What does compliance mean for development?
In this session you'll learn some of the key data privacy problems facing database developers and DBAs and 10 steps to help your database team build a "defensible position" through development.
5 Mistakes in Cloud Data Migration
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
Advanced Plan Explorer Usage for Tuning Execution Plans
Users of Plan Explorer often only utilize the basic capabilities to tune execution plans. This session will cover more advanced techniques to get the most out of SentryOne's FREE execution plan analysis tool.
Azure AI, Power new possibilities for every organization
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
Azure Cost Management
Learn the tools and techniques you can use to create governance and insights around your Azure spend
Azure data services on Azure Arc
In this session you’ll learn more about Azure data services on Azure Arc
Azure DW and Power BI, reporting at the speed of light!
In this action-packed demo full session, we will be showing you how to combine Azure DW and Power BI to get optimal performance for running your day to day reports.
Azure Machine Learning and the Python SDK
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Azure SQL and SQL Server: Path to an Intelligent Database
Come join us in the intelligent database world that started with SQL Server 2017 and takes a leap forward with the upcoming SQL Server 2019 and Azure SQL DB.
Azure SQL Hyperscale Deep Dive
We will deep dive into the architecture of Hyperscale and its various components. We will dive into scaling aspects and the new application patterns it enables and also diagnostics that enable bottleneck identification.
Baselining Performance with DEA
Learn what the Database Experimentation Advisor is and how you can start using it to baseline performance from a target and source server when new changes are introduced.
Big Data Processing with .NET and Spark
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
Combatting illegal fishing with Azure for less than £10/mth
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
Common Data Model-Our new buddy for Data Governance
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Creating Custom Visuals in Power BI with TypeScript and D3.j
This presentation is about how to create custom visuals (components) for your PowerBI reports. Power BI reporting features could be extended with custom components, that developers can implement.
Data Modeling Trends for Analytics
Learn to make better analytic solutions by following current thoughts on data modeling.
Databricks, Delta Lake and You
Databricks, Lakes & Parquet are a match made in heaven, but explode with extra power when using Delta Lake. This session will dive into the details of how Databricks Delta works and how to make the most of it.
Deadlocks: Lets Do One, Understand It, and Fix It
You keep getting warnings and emails about deadlocks, but let's be honest: you're not really sure how they happen or what to do about it. Brent Ozar will show one, use sp_BlitzLock to analyze it, then fix it.
Deploying SQL Server in Kubernetes
Are you thinking about running SQL Server in Kubernetes and don’t know where to start…are you wondering what you really need to know? Then this is the session for you.
De-risk Your Azure SQL Migration: 5 Critical Considerations
The session takes you through the most critical considerations for moving your on-premise data and databases into the Azure cloud, with a focus on the steps leading to the migration and immediately afterwards.
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