Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
10:00:00 | Steve Simon | BI Information Delivery | SQL Server Reporting Services 2017 on Steroids!! |
10:00:00 | Jody Roberts | Cloud Application Development Deployment | Azure Managed Instance |
10:00:00 | Vanessa Raath | Professional Development | How to become the most sought after SQL Server professionals in SA |
10:00:00 | Andrew Collier | Analytics and Visualization | Wading into Stream Analytics |
10:00:00 | Kathryn Varrall | Cloud Application Development Deployment | Azure Database Migrations: The secret sauce to successful database migrations |
11:10:00 | Jeanne Combrinck | Application Database Development | Master Data Services From Start To Finish |
11:10:00 | Alex Yates | Application Database Development | DevOps 101 for Data People |
11:10:00 | Sean Cremer | Application Database Development | SQL Server Temporal Tables |
11:10:00 | James McGillivray | BI Information Delivery | Power BI Report Design for the aesthetically challenged |
11:10:00 | Ridewaan Hanslo | Application Database Development | Re-engineering legacy SQL Server Radius Accounting processor archiving solution |
11:10:00 | Warren Rocchi | Professional Development | Top tips on cracking a new database (and impressing your new employer) |
13:00:00 | Uwe Ricken | Application Database Development | Daily indexing problems and its - possible - solution |
13:00:00 | Ryan Jamieson | Advanced Analysis Techniques | Data Science in Power BI |
13:00:00 | Arohan Naidoo | Cloud Application Development Deployment | Zero to Pi to 10 on Cloud,Intro to Windows 10 IoT Core on a Raspberry Pi and BI using Azure IoT Hub |
13:00:00 | Minette Steynberg | Analytics and Visualization | Deploying Power BI for the Enterprise |
13:00:00 | Sven Vosse | BI Information Delivery | Tips Tricks To Bridge The Gap Between IT and Your BI Report Users |
14:10:00 | Tinus Visagie | BI Platform Architecture, Development Administration | Design considerations and patterns for creating a supportable Data Warehouse |
14:10:00 | Mercia Malan | Analytics and Visualization | Taking the data to Isengard |
14:10:00 | Niels Berglund | Advanced Analysis Techniques | Overview SQL Server Machine Learning Services |
14:10:00 | Alistair Pugin | Strategy and Architecture | Demystifying Azure Information Protection |
15:20:00 | Sandesh Nagaraj | BI Platform Architecture, Development Administration | BI and DW Schema Design and Evolution |
15:20:00 | Donovan White | Analytics and Visualization | GPU Accelerated Deep Learning with SQL Server 2017 |
15:20:00 | Sifiso Ndlovu | BI Information Delivery | Generate Heatmap Dashboards: SSRS vs Power BI |
15:20:00 | Gail Shaw | Application Database Development | An introduction to Azure SQLDatawarehouse |
15:20:00 | Luis de Sousa | Analytics and Visualization | Machine Learning with R in Power BI |
Event Date: 01-09-2018 - Session time: 10:00:00 - Track: BI Information Delivery
In this hands on presentation we shall be looking some of the more challenging techniques of extracting our data from our Multidimensional and Tabular Models, in addition to our Data Mining Models. We shall be utilizing concepts of ‘Openquery()’ and ‘linked servers’ as a means to extract data, in addition to looking at the way that these two concepts can help us extract our data utilizing MDX, DMX and DAX expressions; AND YET maintain the flexibility and the ability to utilize all those wonderful techniques that may be done with T-SQL.
Event Date: 01-09-2018 - Session time: 10:00:00 - Track: Cloud Application Development Deployment
Architecture of AMI(Azure managed Instance) Cost of AMI vs on-prem Different options to migrate to AMI Benefits of AMI Differences Between AMI and SQL Server on=prem
Event Date: 01-09-2018 - Session time: 10:00:00 - Track: Professional Development
Event Date: 01-09-2018 - Session time: 10:00:00 - Track: Analytics and Visualization
Processing that in many instances never happens...
Wouldn't it be more efficient and effective to process the data stream as it arrives?
Azure Stream Analytics is an event-processing engine which enables processing of streaming data in real time. It can handle up to 1 Gb of data per second, which should suffice for most applications.
In this tutorial I'll take you through the processing of setting up a job on Azure Stream Analytics. I'll look specifically at the following:
To illustrate these concepts we'll build a real time sentiment analysis system for streaming data from Twitter.
Event Date: 01-09-2018 - Session time: 10:00:00 - Track: Cloud Application Development Deployment
Event Date: 01-09-2018 - Session time: 11:10:00 - Track: Application Database Development
Event Date: 01-09-2018 - Session time: 11:10:00 - Track: Application Database Development
In 2013 Kenny Gorman declared "The DBA is Dead".
For the record, I don't believe that, but a lot of people do. What is certain is that the world of IT is changing and traditional roles are changing with it. We all need to adapt.
In this interactive talk I'll explain what DevOps is, where it came from, and its implications for SQL Server. I'll demo example solutions to some of the foundational technical challenges (source control and test/deployment automation) and will leave plenty of time at the end to answer your questions.
Event Date: 01-09-2018 - Session time: 11:10:00 - Track: Application Database Development
Event Date: 01-09-2018 - Session time: 11:10:00 - Track: BI Information Delivery
Thankfully, a few simple design concepts can have big impacts on your reports. There are easy-to-learn techniques and patterns to create a pleasing look and feel to our reports, and some well defined principles to decide which visual is most appropriate in your situation.
Join me in this session to learn:
Event Date: 01-09-2018 - Session time: 11:10:00 - Track: Application Database Development
Event Date: 01-09-2018 - Session time: 11:10:00 - Track: Professional Development
Event Date: 01-09-2018 - Session time: 13:00:00 - Track: Application Database Development
Event Date: 01-09-2018 - Session time: 13:00:00 - Track: Advanced Analysis Techniques
Event Date: 01-09-2018 - Session time: 13:00:00 - Track: Cloud Application Development Deployment
Event Date: 01-09-2018 - Session time: 13:00:00 - Track: Analytics and Visualization
In this session I will look at what is required to plan a successful Power BI Premium implementation for the Enterprise.
The following topics may be included:
Event Date: 01-09-2018 - Session time: 13:00:00 - Track: BI Information Delivery
This topic will be a combination of theory (BI in general) and practical (using Power BI).
Learn how to address the needs of your end-users (user-friendly semantic model, appealing colour / report themes; interactive and intuitive report design; etc.), how to make reports accessible to the end-users (explore pros and cons of various deployment methods), whilst maintaining security and governance best-practice.
Event Date: 01-09-2018 - Session time: 14:10:00 - Track: BI Platform Architecture, Development Administration
Great now what?
Nobody wants to be involved with a project that is constantly failing and difficult to support. This session will take a look at some design considerations and tips to ensure that your mart runs with minimal intervention and is easy to support.
The tools discussed and used in the examples will be SSIS and SQL server but many of the points discussed are valid for all tools.
Event Date: 01-09-2018 - Session time: 14:10:00 - Track: Analytics and Visualization
In this session we'll explore the world of middle earth with the help of Apache Spark, Azure HDInsight and PowerBI. Apache spark is a distributed data processing engine which is deployed as a cluster, with master and worker nodes.
We'll look at setting up a spark cluster in Azure HDInsight as well as visualising the results in PowerBI.
Event Date: 01-09-2018 - Session time: 14:10:00 - Track: Advanced Analysis Techniques
Event Date: 01-09-2018 - Session time: 14:10:00 - Track: Strategy and Architecture
In this session we unpack: · What is Azure IP · How to find content that needs protection · How to use Azure IP to protect your content · How to build out you Information protection strategy
In the mobile first, work from anywhere world we live it, managing access control is only half the journey to ensuring that your content is protected from misuse and inadvertent dissemination.
Event Date: 01-09-2018 - Session time: 15:20:00 - Track: BI Platform Architecture, Development Administration
Different types Schema Design: In terms of tables accessed, Joins, data modification, data loading/Maintenance, data redundancy, design and size.
• Normalized • Moderately de-normalized • Completely de-normalized • Star Schema • Data vault • NoSQL
And lastly discuss around the common schema design roadblocks that people face like Hierarchy, SCD etc…
Event Date: 01-09-2018 - Session time: 15:20:00 - Track: Analytics and Visualization
Event Date: 01-09-2018 - Session time: 15:20:00 - Track: BI Information Delivery
Event Date: 01-09-2018 - Session time: 15:20:00 - Track: Application Database Development
In this session, I’ll take you through the architecture of Azure SQL Datawarehouse, how it differs from a regular SQL Server and what those differences mean for database design, query design and usage patterns.
Event Date: 01-09-2018 - Session time: 15:20:00 - Track: Analytics and Visualization
We'll cover: