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"Start Small and Grow Big" with Power BI and Azure AS
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.
An introduction to HDInsight
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
An Introduction to Machine Learning
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.
Analyzing real-time data using Azure Streaming Analytics.
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
Azure and SQL Server: Getting the best out of the cloud
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.
Azure Cosmos DB: design patterns and case studies
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.
Azure Data Catalog Adoption Patterns and Best Practices
Get the most from Data Catalog with patterns and practices.
Azure Data Lake-The Services. The SQL. The Sharp.
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.
Azure SQL Data Warehouse Optimizing and Maintaining
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.
Azure SQL Database vs. Cosmos Db. How do you choose?
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 with Temporal Tables
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.
Building a Data Delivery Solution in the Cloud
Case study on using all of the Azure Data Platform and how to build out your optimal architecture.
Chatbots for Dummies
Learn how to build, debug and deploy a chatbot using the Azure Bot Service and the Microsoft Bot Framework.
Cloud Processing: PaaS SSIS & Advanced Patterns with ADFV2
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.
Confidential computing with Always Encrypted using enclaves
Always Encrypted using enclaves enables rich queries on encrypted data.
Database Continuous Delivery with SSDT and VSTS
Using SSDT and VSTS to reliably build, test, and deploy SQL Server databases in the cloud and in the datacentre.
Deep Dive into SSIS 2017 and Beyond
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 in Power BI and Analysis Services
DirectQuery best practices in Analysis Services and Power BI
Dont cross the streams, a closer look at Stream Analytics
This session takes a closer look at Azure Stream Analytics, and how you can make it work in your Projects.
DWH and Microsoft BI in an Online Games Company
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!
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