Learn the ins and outs of Azure Data Lake in this deep dive
Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at the design considerations for clustered indexes and for nonclustered indexes and see how queries use them.
Containers are a new and exciting technology but what does it mean for DBAs? This session will give an introduction into SQL Server running in containers and what options are available.
Continuous Integration has not yet been fully integrated into our BI standards and methods. Tool support is still somewhat unsatisfactory. Let’s look into requirements for a SSAS solution and on ways to approach your self-made solution.
With the latest release of SQL Server Reporting services, more and more organizations are adopting it as an organizational reporting solution. Join this session as I explain how to architect and deploy a scalable and highly available solution.
An example of how Azure Data Catalog lets users understand and consume data sources.
We’ll share in the session best practices of designing highly available SQL Databases in the context of cross region deployment; how to make your application robust to handle transient connectivity issues.
Not every workload can benefit from In-Memory tables. Memory Optimized Tables are not a magic bullet that will improve performance for all kinds of transactional workloads. This session gives you the details you need.
In this demo-intensive session you will discover how to capture a meaningful workload in production and how to replay it against your test system.
Come to this session to learn about AzureSQL DB migration approaches, challenges, and solutions from SQLCAT. We will present practical migration guidance and learnings from our engagements with high scale and complex customer migrations
In this session you will learn how to use Extended Events and Dynamic Management Views (DMVs) to build a performance-monitoring system for your database environment.
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.
A practical look at the components of Cortana Intelligence Suite.
Have you ever considered a situation where Columnstore Index can be quite the opposite of what one expect from it? A slow, wasteful source of painfully slow queries, lagging the performance, consuming irresponsible amount of resources ...
Columnstore Engine killed OLAP ... or did it really ?
Learn how to use this fantastic package in R for high-speed, low-code table wrangling.
Data architects and DBAs have debated database design best practices for decades. Join us for some great debates and laughs.
In this session we will review the new enhancement to SQL Server security available in SQL Server 2016 and Azure SQL DB.
The Analysis Services model used in both Power BI Desktop and SSAS allows solving of very complex modelling issue. In this session we will look at solving several complex modelling problems like many-to-many and RLS.
A session to understand the available functionality of SSISDB Catalog
Temporal Tables as a new technology in Microsoft SQL Server makes the implementation and management of data histories so easy. In this session, discover ALL the secrets of System Versioned Temporal Tables.
SQL Server normally relies on concurrency models in order to maintain the Isolation in ACID. As systems scale, this method can go from being a benefit to a hindrance, limiting the concurrency for our applications and hurting performance.
Make the right career move impressing your CEO and C-Level suite executives! Meet their specific needs with the right metrics and data visualisation. Power BI can help to bring clarity & predictability to the CEO to make strategic decisions.
It just works – performance and scale in SQL Server 2016 database engine and what is being added to in-market versions.
A look inside SQL Server distribution statistics
Find out how the new tool SQL Clone enables self-service or easy automation of database copies and is near-instant at the time of need, using a fraction of the disk space, and allowing quick reversion to a baseline or snapshotting of changes.
In this session we will learn about SQL Server enhancements in the most recent versions that can help you troubleshoot query performance.
Using SQL Server Service Broker you can create near real-time data in your data warehouse for more timely analysis and reporting.
Write SQL unit tests with tSQLt and automate them with VSTS.
Choosing the wrong visualization can obscure the story - or worse yet, distort it! In this session, learn the vocabulary of data visualization and how to apply grammar (visualization design principles) to your data.
Learn about graph databases and how they are implemented in SQL Server vNext
How easy is it to hack a SQL Server? In this session we'll see a few examples on how to exploit SQL Server, modify data and take control, while at the same time not leaving a trace. We'll also cover recommendations on how to avoid these attacks.
This session will cover High Availability and Disaster Recovery solutions for SQL Server on Linux. What technology options are available and how to build a highly available database solution on Linux
By using open data and web scraping in Power BI we will examine if weather has an impact on games in the English Premier League. We will look at the advantages and disadvantages of using open data and web page data how Power BI works with it.
Many organizations want to build software in a DevOps framework, but struggle to include the database. Come see how Continuous Integration, Testing, and Continuous Deliver can work with a database.
SQL Server vNext R Services and the new MicrosoftML package
A query was running fast yesterday and today it suffers from performance problems. What will you do? - restart the server (did work) - drop the procedure cache (read in a blog article) - get a coffee and pass in review this session about statistics
This session, designed for developers and data scientists, will ramp up the attendee very quickly on Microsoft's powerful machine learning algorithm APIs as a part of Cognitive Services and chat bot development tools as part of the Bot Framework
The Query Store will change how you tune queries and gather metrics about them in both SQL Server 2016 and Azure SQL Database.
Learn to build Analysis Services models in the cloud
What is the future going to look like? When are we going to reach true Artificial Intelligence? Is the Singularity going to happen? There is a lot of talk today about AI and what it means for the human society.
In this session, Program Managers from Microsoft will provide an introduction to SQL Server and how it runs on Linux and container platforms.
The Tiger team will showcase the environments that help you keep your environment Always On
In this session Richard Conway will show you from grass roots no knowledge of Spark how to navigate the Spark framework ecosystem and build complex batch and near real time applications that use Spark's machine learning library mllib
In this session you will get a brief introduction to the basic principles of Master Data Services, together with an overview of all the new features brought to you with Master Data Services 2016.
Discover the ins and outs of some of the newest capabilities of our favorite data language, and walk away with a long list of reasons to consider upgrading to the latest version - or the next version.
Many people think that normalization stops at Third Normal Form. But there are lots of higher normal forms. And they are not as complex or as irrelevant as often claimed. If you want to design better databases, then come attend this session!
Learn about the powerful 8600 series of trace flags which additional details about how the query optimizer behaves as it processes a query.
In this session we will show you how Tabular performs when you are querying a model with many billions rows, conduct a complete analysis of the model searching for optimization ideas and implement them on the fly, so to look at the effect of using th
See how Azure Data Factory orchestrates the movement of data in Azure.
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