In this talk you will learn how to use Power BI to prototype/develop a BI solution in days and then evolve it into a fully scalable Azure BI solution.
Are you still asking yourself, what is big data? What is HDInsight and how can I benefit from it? which type of HDInsight Cluster should I use? come to this session and find an answer
Learn how to build an Azure Machine Learning model, how to use, integrate and consume the model within other applications, and learn the basic principles and statistics concepts available in the different ML algorithms.
Businesses today require real-time information to make better-informed decisions, this requires a new set of tools. In this session you will learn about Azure Stream analytics and how it can help address real-time data scenarios
SQL Server and Azure are built for each other. New hybrid scenarios between on-premise SQL Server and Azure mean they don't have to exclude each other but instead you can have the best of both worlds, reducing operational costs.
Come learn about the business goals and technical challenges faced by real-world customers, why they chose Azure Cosmos DB, and the patterns they used to deliver highly available, globally distributed experiences.
Get the most from Data Catalog with patterns and practices.
Let’s understand the role of this hyper-scale two tier big data technology and how to harness its power with U-SQL, the offspring of T-SQL and C#. We’ll cover everything you need to know to get started developing solutions with Azure Data Lake.
In this talk we will discuss best practices around how to design and maintain an Azure SQL Data Warehouse for best throughput and query performance.
Focusing on the micro-service / OLTP domain, this talk approaches the challenge of choosing between Azure SQL Database and Cosmos Db (Document Db) by using solution use cases to test each storage's offering for appropriateness.
Back to the Future is the greatest time travel movie ever. I'll show you how temporal tables work, in both SQL Server and Azure SQL Database, without needing a DeLorean.
Case study on using all of the Azure Data Platform and how to build out your optimal architecture.
Learn how to build, debug and deploy a chatbot using the Azure Bot Service and the Microsoft Bot Framework.
Many existing Data Factories include large numbers of workarounds due to limitations with the service. Now that ADF V2 is available, we can restructure our Data Factories to be lean, efficient data pipelines, and this session will show you how.
Always Encrypted using enclaves enables rich queries on encrypted data.
Using SSDT and VSTS to reliably build, test, and deploy SQL Server databases in the cloud and in the datacentre.
We will showcase the latest feature of SSIS 2017 such as connectors for Azure Data Lake Store (ADLS), Azure SQL Data Warehouse (SQL DW), SSIS Scale-Out at package level for the box product as well as the SSIS package execution on Azure Data Factory
DirectQuery best practices in Analysis Services and Power BI
This session takes a closer look at Azure Stream Analytics, and how you can make it work in your Projects.
How does Big Data with Hadoop, Cloud Computing in Azure, Self Service BI and “classic” BI with SQL 2016 interact with each other to build a modern enterprise BI architecture at InnoGames? Watch my talk and you will know!
Introducing the ROC curve and its use in Azure ML.
Selecting the right PaaS components in Azure
We live in a cloud first World, but many organisation still run largely on-premise. This session covers how these organisations can begin their journey and leverage Azure data services.
Learn how to master your data in the cloud with Azure services.
Learn about the new compute optimized performance tier in SQL Data Warehouse and how to maximize your performance through improved table design and columnstore optimization.
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