Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
10:00:00 | Dr. Suresh Rajappa | BI Platform Architecture, Development Administration | Practical Design Pitfalls in designing Enterprise Data Warehouse |
10:00:00 | Ryan Casey | BI Platform Architecture, Development Administration | Data Modeling for the Modern Data Warehouse |
10:00:00 | Eric Peterson | Enterprise Database Administration Deployment | Very Large Databases in your future |
10:00:00 | Chris Horvath | Strategy and Architecture | Azure Transient SQL Warehouse Resource |
10:00:00 | Andrea Letourneau | BI Information Delivery | Power BI: The Magic of M |
10:00:00 | Steve Hughes | BI Platform Architecture, Development Administration | Data Security in Power BI |
10:00:00 | Garry Bargsley | Enterprise Database Administration Deployment | Use PowerShell and dbatools to Manage your SQL Server Environment |
10:00:00 | Yueying Li | Advanced Analysis Techniques | Natural Language Processing (NLP) Intro |
10:00:00 | David Lundell | Enterprise Database Administration Deployment | Open Source vs SQL Database Maintenance Plans |
11:15:00 | Kristine Dyess | BI Information Delivery | Using SQL PowerPivot In Excel to create a SSAS Tabular Model for Power BI |
11:15:00 | Vern Rabe | Application Database Development | Proper DataType Usage=Guaranteed Better Performance and Accuracy |
11:15:00 | Adam Jorgensen | Strategy and Architecture | Data Driven Digital Transformation |
11:15:00 | Joe Abbott | BI Platform Architecture, Development Administration | Introduction to Azure SQL Database |
11:15:00 | Shawn Meyers | Enterprise Database Administration Deployment | Monitoring and Alerting of Availability Groups |
11:15:00 | Ginger Grant | Advanced Analysis Techniques | Implementing Python in SQL Server 2017 |
11:15:00 | Jeff Schmidt | Enterprise Database Administration Deployment | Is it really HA when you upgrade from 2016 to 2017? I say yes. |
11:15:00 | Carlos Bossy | Advanced Analysis Techniques | Operationalizing Data Science |
11:15:00 | Phil Guevara | Application Database Development | Beginner's Guide to Query Tuning with SQL Server |
13:15:00 | Mark Broadbent | Enterprise Database Administration Deployment | Lockless in Seattle: Using In-Memory OLTP Transaction Processing |
13:15:00 | Mike Byrd | Application Database Development | Climbing the SQL Server Index B-Tree (from a user perspective) |
13:15:00 | Randy Knight | Application Database Development | Locks, Blocks, and Deadlocks, Oh My! |
13:15:00 | Meagan Longoria | Analytics and Visualization | Challenges and Opportunities in Creating Accessible Power BI Reports |
13:15:00 | Leslie Andrews | BI Platform Architecture, Development Administration | The Power of Data: The Complete Beginners Data Warehouse Kit |
13:15:00 | Martin Schoombee | BI Information Delivery | Power BI Development Best Practices |
13:15:00 | Leonard Lwakabamba | Analytics and Visualization | Relational meets Graph |
13:15:00 | Peter Kral | Enterprise Database Administration Deployment | SSIS Project Deployment: The T-SQL Way |
13:15:00 | Jason Brimhall | Enterprise Database Administration Deployment | Extended Events - Better than Profiler |
14:30:00 | Rob Mandeville | Enterprise Database Administration Deployment | DBA Impacting Trends |
14:30:00 | Phil Robinson | Analytics and Visualization | Data Wrangling for Reporting Analytics using Power BI |
14:30:00 | Steven Tidwell | Application Database Development | Dynamic SQL: Tables, Pivots, Parameters More |
14:30:00 | Randy Knight | Enterprise Database Administration Deployment | Understanding the SQL Server Transaction Log |
14:30:00 | Marc Beacom | BI Platform Architecture, Development Administration | ETL Best Practices and Techniques |
14:30:00 | Sandra Walters | Application Database Development | Intro to tSQLt: Unit Testing for Databases |
14:30:00 | Joseph Barth | BI Platform Architecture, Development Administration | Azure Data Factory Version 2 - Early Adopters |
14:30:00 | Jonathan Stewart | BI Platform Architecture, Development Administration | An introduction to the magical world of BIML! |
15:45:00 | TJay Belt | Enterprise Database Administration Deployment | PowerBI, from a DBA |
15:45:00 | Russel Loski | Cloud Application Development Deployment | Querying Semistructured Data in Azure Data Lake with USQL |
15:45:00 | Vern Rabe | Application Database Development | Query Optimization Statistics : Driving Force Behind Performance |
15:45:00 | Robert Miller | Enterprise Database Administration Deployment | SQL Server on Linux, a new frontier |
15:45:00 | Jared Wilber | Analytics and Visualization | Data Visualization with D3.js |
15:45:00 | Steve Williams | BI Platform Architecture, Development Administration | Solving Common DBA Problems With R |
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: BI Platform Architecture, Development Administration
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: BI Platform Architecture, Development Administration
We discuss why we need to model data, benefits / value of modeling data, and why we select one modeling technique over the other. Once we understand why and when we use these different modeling techniques, we will focus in on dimensional modeling that is used when developing data warehouses, SSAS cubes and Power BI.
Sample diagrams will be used to explain these different modeling techniques and try to bring a more tangible aspect to the theoretical aspects of the discussion.
Why Model Data • The Value of Enterprise Data • Why Should We Data Model • The Multifarious Data Environment • Business Benefits of Data Modeling
Different Model Types • Enterprise Model • Conceptual Model • Logical Model • Physical Model • Dimensional Model
Different Modeling Techniques • Normal Form Modeling • Star Snow Flake Schema • Slowly Changing Dimensions • Many to Many Relationships
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: Enterprise Database Administration Deployment
from working with multi-terabyte, very large databases (VLDBs) in the real world. Topics include storage layout decisions, unique tuning challenges, HA/DR implications, and database restores, along with shoehorning backups, re- indexing and DBCC checks into itty-bitty maintenance windows. As a bonus, many of the techniques also apply to smaller databases and consolidated servers that run hundreds of databases.
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: Strategy and Architecture
Big data to Big Memory Quick review of using a Azure SQL Warehouse to preform a system Cloud Rearchitect Rehost - Refactor - Rearchitect (move logic but use Cloud resources to execute) - Rebuild Hadoop Decommision Effort - Hadoop 16hr process replaced with 1.5 hr process at at fraction of the cost
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: BI Information Delivery
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: BI Platform Architecture, Development Administration
Due to the frequent changes to Power BI, improvements to data security are common within the platform as it matures. We will discuss data security and compliance within the platform including data classification, privacy levels, and other settings which help to manage your data security.
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: Enterprise Database Administration Deployment
In this session, you will learn how to standardize, monitor and alert on your environment when SQL Server settings fall out of best practices, using tools provided in the dbatools suite.
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: Advanced Analysis Techniques
For this session, I will walk you through some fundamental techniques and demos.
Event Date: 17-03-2018 - Session time: 10:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: BI Information Delivery
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: Application Database Development
In this demo-heavy presentation I will show you the importance of choosing the proper data type; show you some guidelines in determining what an appropriate data type would be; and once chosen, give you some tools for its usage and management. I will demonstrate several performance and accuracy issues, along with their possible solutions, caused by either the assignment of inappropriate data types or improper usage of them. In addition I will cover several data type related functions, and point out caveats in their usage. I expect even advanced T-SQL developers and DBAs to walk away with a useful nugget or two.
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: Strategy and Architecture
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: BI Platform Architecture, Development Administration
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: Enterprise Database Administration Deployment
This session will answer all these questions
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: Advanced Analysis Techniques
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: 17-03-2018 - Session time: 11:15:00 - Track: Enterprise Database Administration Deployment
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: Advanced Analysis Techniques
Event Date: 17-03-2018 - Session time: 11:15:00 - Track: Application Database Development
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: Enterprise Database Administration Deployment
In this session, we will understand how In-Memory OLTP architecture is implemented and how its mechanics function. We will learn what transactional bad dependencies and other considerations are introduced by its use and what capabilities are provided by SQL Server 2016.
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: Application Database Development
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: Application Database Development
In this session targeted at the accidental or new DBA, we will walk through each of these items, what they are, what their causes are, which of them are normal behavior and which are not, and some common causes of deadlocks and excessive blocking.
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: Analytics and Visualization
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: BI Platform Architecture, Development Administration
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: BI Information Delivery
In this session we will take a brief look at all of the considerations and best practices when developing Power BI models, reports and dashboards.
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: Analytics and Visualization
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: Enterprise Database Administration Deployment
Prerequisites: You should have previous experience with SQL Server Integration Services (SSIS) package deployment and/or development.
Event Date: 17-03-2018 - Session time: 13:15:00 - Track: Enterprise Database Administration Deployment
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: Enterprise Database Administration Deployment
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: Analytics and Visualization
Mashups using data from partners, commercial and public sources are fast becoming the new normal. Do you have a csv file too big to open, is a non-windows format or generates errors on import or opening? Need to determine the quality of a file downloaded from the internet or supplied by another party? In this presentation we will review tools to examine/repair schema issues and explore Power BI Desktop features that provide insights into your datasets along with the M language for building mashups and data models.
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: Application Database Development
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: Enterprise Database Administration Deployment
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: BI Platform Architecture, Development Administration
Gain helpful insights from decades of lessons learned and walk away with best practices you can implement in your own ETL solution.
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: Application Database Development
If you've ever had these questions, this introduction to the unit test framework, tSQLt, is for you. We'll address how to set up and run unit tests, fakes, and spy procedures. We'll also talk about how to structure your Visual Studio projects that use tSQLt, whether they're SSDT projects or the new ReadyRoll Core project type, available with Visual Studio 2017. You'll learn how to integrate your tSQLt tests with the CI/CD pipeline using Visual Studio Team Services, as well as how to analyze code coverage.
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: BI Platform Architecture, Development Administration
Joe Barth will walk your through what is new and what is available to do with ADFv2. His presentation will also show what we have learned so far as an early adopter and how to run Azuure SSIS in the cloud.
Speaker Bio: Joe Barth is the AZSSUG PASS chapter Leader, over 9 years SQL Server experience from DBA to Developer. Joe's main focus over the past 5 years has been SSIS and Data Warehousing.
Event Date: 17-03-2018 - Session time: 14:30:00 - Track: BI Platform Architecture, Development Administration
Event Date: 17-03-2018 - 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 PowerBI at this data to display and interact with said data. You will learn a little about PowerShell, Azure SQL DB, PowerBI, and how to make these work for you.
Event Date: 17-03-2018 - Session time: 15:45:00 - Track: Cloud Application Development Deployment
Event Date: 17-03-2018 - Session time: 15:45:00 - Track: Application Database Development
Event Date: 17-03-2018 - Session time: 15:45:00 - Track: Enterprise Database Administration Deployment
With the release of Microsoft SQL Server for Linux, this last major hurdle in the enterprise is starting to fall. There is much more product development work needed to catch its older brother, but Microsoft SQL Server for Linux has become interesting and viable for the enterprise and hobbyist. Join me as we take a look at what is currently available in Microsoft SQL Server for Linux.
Event Date: 17-03-2018 - Session time: 15:45:00 - Track: Analytics and Visualization
Event Date: 17-03-2018 - Session time: 15:45:00 - Track: BI Platform Architecture, Development Administration