Session Date/Time (dd-MM-YYYY 24h) | Speaker | Category | Track | Title |
---|---|---|---|---|
19-07-2017 12:00 | Brent Ozar, Erik Darling | 24 Hours of PASS (60 minutes) | Perform | Last Season's Performance Tuning Techniques |
19-07-2017 13:00 | Scott Currie | 24 Hours of PASS (60 minutes) | Build | Create and Load a Staging Environment from Scratch in an Hour with Biml |
19-07-2017 14:00 | Lynn Winterboer | 24 Hours of PASS (60 minutes) | Build | Writing User Stories and Slicing Epics for DW/BI Teams |
19-07-2017 15:00 | Oscar Li | 24 Hours of PASS (60 minutes) | Build | Introduction to Global Data Quality |
19-07-2017 16:00 | Kendra Little | 24 Hours of PASS (60 minutes) | Build | Why Did My Clever Index Change Backfire? (Preview) |
19-07-2017 17:00 | Kellyn Pot'Vin-Gorman | 24 Hours of PASS (60 minutes) | Support | DevOps and the Agile DBA |
19-07-2017 18:00 | Allan Hirt | 24 Hours of PASS (60 minutes) | Build | The SQL Server 2017 Availability Story on Linux |
19-07-2017 19:00 | Erin Stellato | 24 Hours of PASS (60 minutes) | Perform | Help me, Query Store. You're My Only Hope |
19-07-2017 20:00 | Sidney Andrews | 24 Hours of PASS (60 minutes) | Design | Building Polyglot Data Solutions in Azure with Azure Cosmos DB |
19-07-2017 21:00 | Chrissy LeMaire, Constantine Kokkinos | 24 Hours of PASS (60 minutes) | Perform | PowerShell ?? SQL Server: Modern Database Administration |
19-07-2017 22:00 | Martin Wild | 24 Hours of PASS (60 minutes) | Build | SQL Server on Linux – Don’t be afraid… this is the same SQL Server that you already know and love. |
19-07-2017 23:00 | Ike Ellis | 24 Hours of PASS (60 minutes) | Perform | A Lap Around Azure Big Data and MPP Offerings |
20-07-2017 00:00 | Ginger Grant | 24 Hours of PASS (60 minutes) | Analyze | Implementing Advanced Analytics with SQL Server 2017 and Python |
20-07-2017 01:00 | Joseph D'Antoni | 24 Hours of PASS (60 minutes) | Perform | Lessons on Linux for the SQL Server Professional |
20-07-2017 02:00 | Paul Turley | 24 Hours of PASS (60 minutes) | Analyze | Can’t We Just Get Along? Making SSRS, Power BI and Excel Play Well Together |
20-07-2017 03:00 | David Klee | 24 Hours of PASS (60 minutes) | Perform | Virtual CPUs: Right to Ludicrous Speed |
20-07-2017 04:00 | Kenneth Urena | 24 Hours of PASS (60 minutes) | Build | Azure SQL VM - Implementing Basic AG in SQL 2016 STD |
20-07-2017 05:00 | Greg White | 24 Hours of PASS (60 minutes) | Analyze | Getting the most from SQL Server – Deploying and Optimizing on Hyperconverged Infrastructure |
20-07-2017 06:00 | Cathrine Wilhelmsen | 24 Hours of PASS (60 minutes) | Design | Tools and Tips: From Accidental to Efficient Data Warehouse Developer |
20-07-2017 07:00 | Ben Miller | 24 Hours of PASS (60 minutes) | Build | PowerShell for DBAs, What’s in it For Me? |
20-07-2017 08:00 | Kathi Kellenberger | 24 Hours of PASS (60 minutes) | Perform | SQL Server Data Compression |
20-07-2017 09:00 | Niko Neugebauer | 24 Hours of PASS (60 minutes) | Perform | Becoming Proficient with Columnstore Indexes |
20-07-2017 10:00 | Jay Robinson | 24 Hours of PASS (60 minutes) | Scale | A Guided Tour of the SqlClient Namespace |
20-07-2017 11:00 | Gail Shaw | 24 Hours of PASS (60 minutes) | Build | On Transactions and Atomic Operations |
Event Date: 19-07-2017 12:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
Event Date: 19-07-2017 13:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Event Date: 19-07-2017 14:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
This session shares how to write user stories for a DW/BI project, and explains how these user stories contribute to several key Agile principles: ? Satisfy customers through early and continuous delivery ? Working BI features are our primary measure of progress ? Business people and the delivery team work together regularly
Attendees will leave understanding what a well-written DW/BI user story looks like.
Event Date: 19-07-2017 15:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Event Date: 19-07-2017 16:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Event Date: 19-07-2017 17:00 - Category: 24 Hours of PASS (60 minutes) - Track: Support
The take-aways from this session are to embrace DevOps basics with a “DBA twist” such as:
Discover the power of virtualization and powerful agile development practices providing more value to even the most senior database expert. We’ll demo different scenarios surrounding DevOps, virtualization and how to make the DBA pivotal to DevOps success.
Event Date: 19-07-2017 18:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Event Date: 19-07-2017 19:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
In this preview of my full-day workshop on Query Store, you'll learn how to find regressed and problematic queries using the Query Store data. We’ll look at the information that SQL Server captures and see how to use the SSMS reports and catalog views to find the worst offenders. No longer will you have to flail about, trying to find the issue. After this session you’ll be able to quickly and confidently pinpoint the problem.
Event Date: 19-07-2017 20:00 - Category: 24 Hours of PASS (60 minutes) - Track: Design
Event Date: 19-07-2017 21:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
This session is aimed at data professionals, from junior to senior, who want to embrace the ease of automation and increase their DevOps toolset.
Event Date: 19-07-2017 22:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Join to learn: • The timelines and mechanics of deploying SQL Server vNext/2017 on Linux • Insights and observations on setup and configuration • The simplicity of performing common SQL Server DBA tasks on SQL Server on Linux (demos) • A side-by-side benchmark session of workloads running on Windows and Linux • Some great Quest SQL Server monitoring and diagnostics solutions, along with some cool free tuning tools.
Event Date: 19-07-2017 23:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
Event Date: 20-07-2017 00:00 - Category: 24 Hours of PASS (60 minutes) - Track: Analyze
SQL Server 2016 added R to the analytical toolset and SQL Server 2017 is adding Python. When looking at various lists of the most popular programming languages, Python always has one of the top positions. This session provides an introduction to Python, including why it is a good choice for analyzing data. If you have not had a chance to review SQL Server 2017 yet, please attend to see some of the new changes coming later this year. One of the features covers will show what is needed to incorporate Python into SQL Server and how Python can be incorporated in stored procedures to provide the ability to analyze data using arguably the most popular programming language to review data.
Event Date: 20-07-2017 01:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
Event Date: 20-07-2017 02:00 - Category: 24 Hours of PASS (60 minutes) - Track: Analyze
Event Date: 20-07-2017 03:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
Event Date: 20-07-2017 04:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Basic Availability Groups enable Data Professionals to provide enterprise class High Availability solutions using SQL Server Standard Edition, which allows organizations to save money by providing High Availability (HA) for applications that require HA without paying for SQL Server Enterprise Edition features they do not need.
In this session, we will be covering:
Event Date: 20-07-2017 05:00 - Category: 24 Hours of PASS (60 minutes) - Track: Analyze
Event Date: 20-07-2017 06:00 - Category: 24 Hours of PASS (60 minutes) - Track: Design
You might not be able to rewrite your entire ETL process or change your team's processes over night, but there are many things you can do to increase your own productivity and become a more efficient and valuable Data Warehouse developer.
In this session, I will show you some of what I have learned and discovered that has made me say "Oh wow! Why did I not know this yesterday!?" - including SSMS features, tools for query analysis and tuning, free tools and scripts, Biml for SSIS and even a couple of things I used to think were only useful for those scary DBAs.
Event Date: 20-07-2017 07:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Today is different.
DBAs now have an arsenal available to us and the new tool in the belt is PowerShell. I will show you some reasons to add PowerShell to your toolbelt and give you some reasons and examples of where this toolset will be a great addition to your day. Join me for a great insight into using PowerShell for your DBA career.
Event Date: 20-07-2017 08:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
Event Date: 20-07-2017 09:00 - Category: 24 Hours of PASS (60 minutes) - Track: Perform
Join this session to get an understanding of how to start becoming proficient with Columnstore Indexes & Batch Execution Mode. We shall be considering the necessary steps on the way to get the best possible performance out of the most important Database Engine feature for the Data Warehouses, Business Intelligence & Reporting.
Event Date: 20-07-2017 10:00 - Category: 24 Hours of PASS (60 minutes) - Track: Scale
This session is a survey of some of the vital elements of the SqlClient namespace, and, depending on your experience, may serve as an introduction, a refresher, or a new perspective on a part of the .NET Framework that is often taken for granted. Demos will use C#, though the principles can be applied in any of the .NET languages.
Some Selected Topics:
Following this session, attendees should be better prepared to develop scalable and reliable solutions that use the .NET Framework to communicate with SQL Server databases.
Event Date: 20-07-2017 11:00 - Category: 24 Hours of PASS (60 minutes) - Track: Build
Transactions are critical when multiple changes need to be made entirely or not at all, but even given that it’s rare to see transactions used at all in most production code
In this session, we’ll look at what transactions are and why we should use them. We’ll explore the effects transactions have on locking and the transaction log. We’ll investigate methods of handling errors and undoing data modifications, and we’ll see why nested transactions are a lie.
Understand what transactions are and what they do.
Learn how to use transactions in combination with error handling to roll back changes on errors
Learn how transactions affect logging and locking.
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