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.
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.
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
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.
One hot topic with Power BI is security, in this deep dive session we will look at all the aspects of security of Power BI, from users, logging to where and how your data is stored andleverage additional Azure services to secure it even more.
Deep learning is an essential component of an analytical toolbox. There are considerable challenges in training deep learning models and this presentation explores how to overcome these using Microsoft’s scalable ML offering, Azure Batch AI.
Azure SQL Database built-in intelligence features will help you improve performance and security of your database and dramatically reduce the overhead of managing thousands of databases.
Data acquisition and analysis in the real world with IoT.
If you have 100's SQL Servers, some legacy applications, running on older versions and no cloud subscription? Then the path is to cloud very different from a single click. We focus on the key steps needed for a cloud SQL data migration.
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