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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.
Application and Database Migrations-A Pester Journey
Application and Database migrations can be a cause for concern. How many times have you heard, "If it isn't broke don't fix it". Come see how you can give confidence to key stake holders on testing the process.
Automated Machine Learning, the good, the bad and the why
Automated Machine Learning, "1 button data science", has been with us for a while. As always there's fans and detractors. We'll discuss when and why you'd use AutoML and when it's better to avoid it.
Autoscale and price-perf with Azure SQL DB serverless
Join us for this session to learn about using serverless in SQL Database and save cost while achieving the desired performance.
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!
Building metadata driven datahub with Databricks Delta Lake
A client's case on how to build a robust metadata driven datahub by utilizing Databricks (Delta Lake) for data ingestion, validation, and loading
Clustered ColumnStore Indexes – Implementation Essentials
If you are planning to implement CCI in your production environment you need to be aware of certain aspects before you start. This session outlines key areas that you need to include in your planning beforehand.
Columnstore Indexes 2017-2020
Columnstore Indexes were launched in SQL Server 2012 and greatly enhanced in 2014 & 2016 - but if you thought that Microsoft was done with them - you are missing a lot of important improvements that were added.
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
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