Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
08:30:00 | Andy Leonard | BI Platform Architecture, Development Administration | Faster SSIS |
08:30:00 | Kathi Kellenberger | Enterprise Database Administration Deployment | Top 5 SQL Server Mistakes |
08:30:00 | Jay Robinson | Database Application Development | Partitioned Tables and Query Performance |
08:30:00 | Marc Beacom | Cloud Analytics | Implementing a Cloud Analytics Solution: Options, costs and more |
08:30:00 | Adrian Mee | Introduction to SQL Server | An Introduction to SQL Server Management Studio |
08:30:00 | Ron Beatty | Database Application Development | Querying Temporal Tables |
09:45:00 | Mohammad Darab | Professional Development | 3 Lessons Learned in Successful Consulting |
09:45:00 | Cyndi Johnson | Database Application Development | Killing Cursors |
09:45:00 | Jeff Renz | Analytics and Visualization | Introduction to R |
09:45:00 | John Morehouse | Enterprise Database Administration Deployment | SQL Server Data Encryption 101 |
09:45:00 | Dave Justice | BI Information Delivery | Dynamic Data Driven Subscriptions in SSRS Without Enterprise Edition |
11:00:00 | Tim Gorman | Enterprise Database Administration Deployment | Accelerating Development and Testing Using Data Virtualization |
11:00:00 | Leslie Andrews | BI Platform Architecture, Development Administration | The Power of Data: The Complete Beginners Data Warehouse Kit |
11:00:00 | Rick Lowe | Database Application Development | Why is my DBA So Grumpy ... When I Use NOLOCK and Other Query Hints. |
11:00:00 | Russel Loski | Cloud Analytics | Querying Semistructured Data in Azure Data Lake with USQL |
11:00:00 | Thomas Norman | Database Application Development | Database Project Makes Deployment Consistent |
13:00:00 | Amy Herold | Enterprise Database Administration Deployment | Hi, my name is Powershell, let's be friends! An Intro to PoSH |
13:00:00 | Jamey Johnston | Analytics and Visualization | Code Like a Snake Charmer - Intro to Python! |
13:00:00 | Thane Schaffer | Database Application Development | Critical Path SQL |
13:00:00 | Martin Schoombee | Introduction to SQL Server | An Introduction to Power BI |
13:00:00 | Je'Anna Lanza-Abbott | Professional Development | Performance Tuning for Salary Negotiations |
13:00:00 | Todd Kleinhans | Enterprise Database Administration Deployment | VLDB Tips and Migration Tactics |
14:15:00 | Steve Wake | BI Platform Architecture, Development Administration | Make Power BI Your Own with the Power BI APIs |
14:15:00 | Lowry Kozlowski | Enterprise Database Administration Deployment | SQL Server Take Over: Establishing a Baseline |
14:15:00 | Meagan Longoria | BI Information Delivery | Challenges Opportunities in Creating Accessible Power BI Reports |
14:15:00 | John Morehouse | Introduction to SQL Server | An Introduction to Azure |
14:15:00 | Jason Brimhall | Database Application Development | The Anatomy of Select |
14:15:00 | Rowland Gosling | Cloud Analytics | SQL Server Meets Big Data in the Cloud: Weather Edition |
15:45:00 | TJay Belt | Enterprise Database Administration Deployment | Power BI, from a DBA's Perspective |
15:45:00 | Leslie Weed | Database Application Development | Source Control and Database Projects - Just Do It |
15:45:00 | Kathi Kellenberger | Database Application Development | Introduction to T-SQL Windowing Functions |
15:45:00 | Edward Roepe | Enterprise Database Administration Deployment | The Ultimate Maintenance Plan |
15:45:00 | Chris Hyde | Analytics and Visualization | Python in SQL Server 2017 |
Event Date: 05-05-2018 - Session time: 08:30:00 - Track: BI Platform Architecture, Development Administration
We'll start by experimenting with SSIS design patterns to improve performance loading AdventureWorks data. We will implement different change detection patterns and compare execution performance for each. Then, we'll explain a Data Flow Task's bottleneck when loading binary large objects - or Blobs.
Finally, we'll demonstrate a design pattern that uses a Script Component in a Data Flow to boost load performance to MySql, whether on-premises or in the cloud.
Event Date: 05-05-2018 - Session time: 08:30:00 - Track: Enterprise Database Administration Deployment
Event Date: 05-05-2018 - Session time: 08:30:00 - Track: Database Application Development
Event Date: 05-05-2018 - Session time: 08:30:00 - Track: Cloud Analytics
Event Date: 05-05-2018 - Session time: 08:30:00 - Track: Introduction to SQL Server
Event Date: 05-05-2018 - Session time: 08:30:00 - Track: Database Application Development
Event Date: 05-05-2018 - Session time: 09:45:00 - Track: Professional Development
Event Date: 05-05-2018 - Session time: 09:45:00 - Track: Database Application Development
Event Date: 05-05-2018 - Session time: 09:45:00 - Track: Analytics and Visualization
Event Date: 05-05-2018 - Session time: 09:45:00 - Track: Enterprise Database Administration Deployment
Event Date: 05-05-2018 - Session time: 09:45:00 - Track: BI Information Delivery
We will also leverage an SSRS interface to set and update parameters to the subscription tables.
By using these techniques we can simulate the power of Data Driven Subscriptions without having to have Enterprise Edition. These techniques can also be used to dynamically configure actual Data Driven Subscriptions and kick them off without access to the SQL Agent engine. Anyone wanting to extend their SSRS capabilities in creating report automation should attend this session.
Event Date: 05-05-2018 - Session time: 11:00:00 - Track: Enterprise Database Administration Deployment
Providing full databases for each developer or tester on each task of each project seems unrealistic, when each copy might require terabytes of storage, so for decades everyone has limited themselves to working in shared dev/test environments that are refreshed only every few months, where conflicts occur, quality suffers, and things move slowly.
Come learn why data virtualization is the solution to a problem everyone knows.
Good, fast, and cheap -- have all three with data virtualization. Be able to clone data quickly, and remove the biggest constraint to development and testing.
Event Date: 05-05-2018 - Session time: 11:00:00 - Track: BI Platform Architecture, Development Administration
Event Date: 05-05-2018 - Session time: 11:00:00 - Track: Database Application Development
Event Date: 05-05-2018 - Session time: 11:00:00 - Track: Cloud Analytics
Event Date: 05-05-2018 - Session time: 11:00:00 - Track: Database Application Development
Event Date: 05-05-2018 - Session time: 13:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 05-05-2018 - Session time: 13:00:00 - Track: Analytics and Visualization
The session will be an introduction to the Python language including:
1.) Installing and Configuring Python 2.) Access and Manipulate Data 3.) Install and Manage Packages 4.) Create and Use Objects/Variables 5.) Control Flows and Functions 6.) Managing the Python installation in MSSQL
Attend this session to learn how to use Python to take your data analytics to the next level. We will use Python, SQL Server and the Anaconda distribution of Python to learn the basics of Python and how it is integrated in the Microsoft stack! We will walk through a simple deployment of a machine learning model to see how it all works together and learns some basic data science fundamentals.
No prior statistics knowledge needed.
Event Date: 05-05-2018 - Session time: 13:00:00 - Track: Database Application Development
Event Date: 05-05-2018 - Session time: 13:00:00 - Track: Introduction to SQL Server
Event Date: 05-05-2018 - Session time: 13:00:00 - Track: Professional Development
Participants will:
• Learn strategies for negotiation analysis and preparation • Understand different strategic choices and interpersonal skills necessary for success • Know what information is needed to negotiate effective outcomes • Experiment with new techniques and test their effectiveness in a safe environment
Event Date: 05-05-2018 - Session time: 13:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 05-05-2018 - Session time: 14:15:00 - Track: BI Platform Architecture, Development Administration
Event Date: 05-05-2018 - Session time: 14:15:00 - Track: Enterprise Database Administration Deployment
Performance assessment and tuning for the beginner DBA Have you ever inherited a group of servers with not a lot of documentation to accompany them? Do you have a lot of undocumented or new servers in your environment and you want to establish some baseline configuration setting prior to making changes? You need up to date information on the system very quickly. The server is running slowly... or is it? Slow compared to what? Before you being digging into performance issues, there are some baseline metrics you should have established. Only after the information has been gathered, can a plan of attack be developed to help resolve issues with performance. Attendees in this session will learn how to quickly gather information, review the results and get an action plan on the next step in performance tuning.
Event Date: 05-05-2018 - Session time: 14:15:00 - Track: BI Information Delivery
Event Date: 05-05-2018 - Session time: 14:15:00 - Track: Introduction to SQL Server
Event Date: 05-05-2018 - Session time: 14:15:00 - Track: Database Application Development
When was the last time you sat down to evaluate a SELECT statement? What actually goes into the processing of that teeny little word? There might be a fair bit more to this simple term than just fetching data from the database. This session covers the simplicity of the select. Then we take it a step further to dive into some of the complexities tied directly to this particular statement.
This session will help the attendee better understand the Select statement. With a more solid understanding of this statement, the attendee can return and implement some of this new knowledge to help improve processing and query response times in their own environments.
Event Date: 05-05-2018 - Session time: 14:15:00 - Track: Cloud Analytics
Event Date: 05-05-2018 - Session time: 15:45:00 - Track: Enterprise Database Administration Deployment
As a DBA, we often need to collect and display data in a friendly and interactive fashion. We will play with some PowerShell to collect data from several systems, store this data in an Azure DB in the Cloud, then point Power BI at this data to display and interact with said data. You will learn a little about PowerShell, Azure SQL DB, Power BI, and how to make these work for you.
Event Date: 05-05-2018 - Session time: 15:45:00 - Track: Database Application Development
Event Date: 05-05-2018 - Session time: 15:45:00 - Track: Database Application Development
They were initially introduced with SQL Server 2005. In 2012, Microsoft added several new functions that let you do things like pull values from different rows without a performance penalty. Attend this session to learn how T-SQL windowing functions apply to many real world examples.
Event Date: 05-05-2018 - Session time: 15:45:00 - Track: Enterprise Database Administration Deployment
We will start by exploring some of the maintenance options that are available. We will then explore the popular utility program by Ola Hallengren and how to implement. Next, we will explore the other areas of SQL Server that need to be maintained like history tables in MSDB. Finally, we will explore the different options when maintenance windows are tight.
At the end of this session you will be able to: (1) Choose a maintenance program for your SQL Servers; (2) Program and schedule the maintenance programs; (3) Ensure that the SQL Server is running at optimum performance each day.
Event Date: 05-05-2018 - Session time: 15:45:00 - Track: Analytics and Visualization
In this introductory session we'll briefly introduce the Python language and then look at how to install and administer Machine Learning Services. We'll start to demonstrate the power of Python by showing you how to create and run simple scripts from within T-SQL. We'll then discuss some of the powerful open source packages that are available to aid your data analyses. Finally, we'll go through some examples of how to use Python to integrate data analytical methods in real-world situations, and wow your customers with the power of analytics!