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.
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.
Learn how to build, debug and deploy a chatbot using the Azure Bot Service and the Microsoft Bot Framework.
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.
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.
SQL disk configuration and planning can really hurt you if you get it wrong in azure. There is a lot more to getting SQL right on Azure VMs than next-next-next.
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.
In this session we will discuss about the Azure SQLDW and how we can use it to help on our day to day.
See the latest features of SSIS in ADFv2, e.g. ARM VNet, Enterprise Edition, Custom Setup Interface, Execute SSIS Package Activity, etc.
This session will reveal what's new for Azure Analysis Services in the areas of performance, scalability, advanced calculations, model management, and monitoring.
An IoT analytics solution addressing real-life issues with SCADA data from a network of 600 Waste Water Treatment Plants and 100s of Pumping Stations. An end-to-end solution with Azure Data Warehouse, Azure Data Factory, Azure Analysis Services and PowerBI
Discover the Microsoft technologies that enable end-to-end data science, including SQL Server and Azure PaaS Services, along with practical scenarios and demos.
This talk takes a look at Cloud Computing – what it is, the types of Cloud available and their advantages and disadvantages along with what Microsoft Azure has to offer.
This session covers the more advanced aspects of development for Azure SQL Data Warehouse. Areas such as data movement, workload concurrency and resource management will all be covered during this intense 60 minute session.
Azure Data Factory and SSIS are both data movement tools, but built for different purposes. In this session you will learn pros and cons of using each technology, and best practices of using each in real world scenarios.
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