Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
08:00:00 | Erland Sommarskog | Application Database Development | SQL Titbits for the Inexperienced |
08:00:00 | Markus Ehrenmueller-Jensen | Power BI | Introduction to Numeric Calculations in DAX |
08:00:00 | Asgeir Gunnarsson | Power BI | What's Going On in My Power BI Environment? |
08:00:00 | Rob Sewell | Learning Path for Data professional Job | Jupyter Notebooks for DBAs |
08:00:00 | Dejan Sarka | Machine Learning Advanced Analytics | Text Mining with T-SQL |
08:55:00 | Kevin Feasel | Machine Learning Advanced Analytics | Applying Forensic Accounting Techniques Using SQL And R |
08:55:00 | Hasan Savran | Cloud Application Development Deployment | How does Azure Cosmos DB work under the hood? |
08:55:00 | Matt Gordon | Cloud Application Development Deployment | Azure SQL Database A to Z: More Than Meets The Eye |
08:55:00 | Belinda Allen | Power BI | Step by Step – Building (a Real Use Case for the) Power Platform Solution |
08:55:00 | Dmitri Korotkevitch | Application Database Development | 5 Availability Groups Issues That May Ruin Your Day |
09:50:00 | Christian Cote | Power BI | Power BI Report Server for the enterprise |
09:50:00 | Ben Miller | Learning Path for Data professional Job | A Walk Around SQL PowerShell |
09:50:00 | Miloš Radivojević | Application Database Development | Intelligent Query Processing in SQL Server 2019 |
09:50:00 | Gaston Cruz | Cloud Application Development Deployment | Processing Tabular Models |
09:50:00 | Daniel Glenn | Cloud Application Development Deployment | Using Your On-prem Data in a Cloud World |
10:45:00 | Angela Henry | Application Database Development | Intro to Azure Data Catalog |
10:45:00 | Javier Villegas | Application Database Development | New Features in SQL Server 2019 |
10:45:00 | Vitor Fava | Application Database Development | Management of multiple instances using Data Collector and PBM |
10:45:00 | Denny Cherry | Cloud Application Development Deployment | Azure 101 |
10:45:00 | William Assaf | Learning Path for Data professional Job | Certification Exams Inside Out |
12:15:00 | Asanka Padmakumara | Machine Learning Advanced Analytics | ETL2.0: Data Engineering with Azure Databricks |
12:15:00 | Hamish Watson | Cloud Application Development Deployment | Database Reliability Engineer - the new DBA? |
12:15:00 | Martin Cairney | Cloud Application Development Deployment | Exploring the World of Azure Data Explorer |
12:15:00 | Raju RH | Machine Learning Advanced Analytics | Learn how to digitalize your business using Azure Form Recognizer |
12:15:00 | David Alzamendi | Application Database Development | Starting with Azure Synapse Analytics (workspace experience) |
13:10:00 | Ondrej Aubrecht | Learning Path for Data professional Job | Can you trust the intelligence of Application tracking systems with your CV? |
13:10:00 | Greg Low | Application Database Development | The Lowdown on Character Data Types in SQL Server |
13:10:00 | Dave Dustin | Application Database Development | Scaling databases to Enterprise scale - Vertical vs Horizontal |
13:10:00 | Reza Rad | Power BI | Dataflow vs Dataset: the Building Blocks of Power BI Architecture |
13:10:00 | Anupama Natarajan | Machine Learning Advanced Analytics | MLOps using Azure Machine Learning |
14:05:00 | Zoran Barac | Application Database Development | Migration path from SQL Server Instance on Azure VM (IaaS) towards Azure SQL Managed Instance (PaaS) |
14:05:00 | Gilbert Quevauvilliers | Power BI | How to store your Power BI Audit logs indefinitely |
14:05:00 | Tariq Younas | Application Database Development | Azure SQL: (IaaS) OR (PaaS) What to use When? |
14:05:00 | Patrick Flynn | Application Database Development | SQL Server on the Edge (Is it time for Pie?) |
14:05:00 | Rob Farley | Application Database Development | SARGability |
15:00:00 | Will Velida | Cloud Application Development Deployment | Introduction to Graph Databases in Azure Cosmos DB |
15:00:00 | Sandeep Arora | Cloud Application Development Deployment | The Battle of DBAAS – RDS vs Cloud SQL vs SQL Azure |
15:00:00 | Ali Sharifi | Application Database Development | Calculation Group in SSAS 2019 |
15:00:00 | Indira Bandari | Power BI | Writeback and Refresh Power BI dataset using PowerApps |
15:00:00 | Darren Gosbell | Power BI | Getting the most out of DAX Studio |
15:55:00 | Martin Catherall | Application Database Development | Exploring Window Functions |
15:55:00 | Warwick Rudd | Application Database Development | Azure Data Studio - Next Gen 2 |
15:55:00 | Manohar Punna | Cloud Application Development Deployment | Cloud IaC (Infrastructure as Code) with Terraform |
15:55:00 | Heidi Hasting | Application Database Development | Bringing Source Control to BI world! |
15:55:00 | Leila Etaati | Machine Learning Advanced Analytics | Anomaly Detection and Entity Extraction from Text in Power BI |
16:50:00 | Marco Russo | Power BI | My Power BI Report is Slow: What Should I Do? |
16:50:00 | Luis Beltran | Machine Learning Advanced Analytics | Extracting information from your unstructured data with Azure Cognitive Search |
16:50:00 | Amit R S Bansal | Application Database Development | Developer Best Practices in SQL Server |
16:50:00 | Mihail Mateev | Power BI | How to Design Modern IoT Solutions with CosmosDB and PowerBI |
16:50:00 | Rob Douglas | Application Database Development | Taking the first steps down the path to security |
Event Date: 08-08-2020 - Session time: 08:00:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 08:00:00 - Track: Power BI
Event Date: 08-08-2020 - Session time: 08:00:00 - Track: Power BI
In this session, we will look at how you can find those answers by monitoring Power BI. We will look at the Power BI Audit log for usage, license, and other audit information. We will look at what the Power BI API can show us about data sets, refresh history, Enterprise Gateway information, premium capacity, and artifact inventory.
Lastly we will show how you can automate the data collection via Azure and PowerShell and report on the results.
Event Date: 08-08-2020 - Session time: 08:00:00 - Track: Learning Path for Data professional Job
I will share with you all of the knowledge I have gained over the past 12 months implementing Jupyter Notebooks for Data Operation teams.
You will leave
Enabling collaboration with your team, simplifying common tasks, improving Incident Wash-Up meetings, creating run-books, easily creating code for others to use are some of the benefits that you will take away. We will have fun as well.
Event Date: 08-08-2020 - Session time: 08:00:00 - Track: Machine Learning Advanced Analytics
Event Date: 08-08-2020 - Session time: 08:55:00 - Track: Machine Learning Advanced Analytics
Event Date: 08-08-2020 - Session time: 08:55:00 - Track: Cloud Application Development Deployment
Learning new technologies make you a better leader and collaborator. Join me to learn more about this new Cloud Database technology.
Event Date: 08-08-2020 - Session time: 08:55:00 - Track: Cloud Application Development Deployment
Event Date: 08-08-2020 - Session time: 08:55:00 - Track: Power BI
Who should attend this session?
• If you have never built a Power Automate flow, this session is for you.
• If you have never built a Power App, this session is for you.
• If you are struggling with use cases for these cool products, this session is for you.
Event Date: 08-08-2020 - Session time: 08:55:00 - Track: Application Database Development
While Availability Groups help to achieve required High Availability, they may also introduce issues in the system. In this session, Dmitri will discuss several less-known problems associated with them. You will learn how Availability Groups may impact transaction log truncation and contribute to the blocking in the system, how readable secondaries may increase CPU and I/O load on primaries among a few other things. Dmitri will also discuss how to properly setup monitoring for Availability Group infrastructure in your environment.
Event Date: 08-08-2020 - Session time: 09:50:00 - Track: Power BI
Event Date: 08-08-2020 - Session time: 09:50:00 - Track: Learning Path for Data professional Job
Event Date: 08-08-2020 - Session time: 09:50:00 - Track: Application Database Development
The intention of these improvements is to fix plans for poor performing queries due to wrong cardinality estimations and other sub-optimal plan decisions, and hereby enhance query performance with no code changes. This session will cover briefly all 2019 features: Batch Mode on Rowstore, Batch and Row Mode Memory Grant Feedback, Scalar UDF Inlining, Table Variable Deferred Compilation, and Approximate Query Processing. If time permits, you’ll see also Batch Mode Adaptive Join and Interleaved Execution. After the session, you’ll understand how much improvements you should expect in your workloads, but also which of these features, and under which circumstances, can cause significant performance regression and how to overcome those issues.
Event Date: 08-08-2020 - Session time: 09:50:00 - Track: Cloud Application Development Deployment
Event Date: 08-08-2020 - Session time: 09:50:00 - Track: Cloud Application Development Deployment
In this session, we will discover the benefits of using the cloud tools, how those benefits translate to being on-prem, and how we can use the data in Microsoft 365 as well. We will setup a data gateway, connect to on-prem data sources, and use that data in Microsoft 365 and SharePoint Server.
Event Date: 08-08-2020 - Session time: 10:45:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 10:45:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 10:45:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 10:45:00 - Track: Cloud Application Development Deployment
Event Date: 08-08-2020 - Session time: 10:45:00 - Track: Learning Path for Data professional Job
Event Date: 08-08-2020 - Session time: 12:15:00 - Track: Machine Learning Advanced Analytics
Event Date: 08-08-2020 - Session time: 12:15:00 - Track: Cloud Application Development Deployment
The skillset of the DBA needs to rapidly change/evolve and they need to be generalists who are familiar with different platforms and the ability to recommend the right fit for an application. Whilst still being specialised enough to support a database to meet business application requirements.
Database Reliability Engineering teams configure, manage and support database infrastructure, writing the automation that builds databases to scale to serve hundreds of thousands of queries per second.
They embrace automation, they understand and leverage cloud services and using DevOps is how they approach all aspects of database installation, configuration and management.
This session will introduce the Database Reliability Engineer which is the new DBA.
Event Date: 08-08-2020 - Session time: 12:15:00 - Track: Cloud Application Development Deployment
This introductory session will give you a taste of the power and flexibility of ADX and the Kusto Query Language. A demonstration will show the ease of ingesting Azure Metrics into ADX and a number of ways to query this data, including Azure Data Studio and Power BI.
Event Date: 08-08-2020 - Session time: 12:15:00 - Track: Machine Learning Advanced Analytics
Event Date: 08-08-2020 - Session time: 12:15:00 - Track: Application Database Development
This session is for you and will provide the answers to each of these questions.
By using Azure Synapse Analytics, you will learn how to empower your business with actionable insights.
This session includes some demos using a selection of the available features.
Event Date: 08-08-2020 - Session time: 13:10:00 - Track: Learning Path for Data professional Job
This session will answer some of the unspoken questions: - Can you trust ATS with your CV ? - Can ATS analyse your Resume correctly (with Real examples) ? - How ATS works?
Come along to this session and find out more about REAL DATA analysis and scanning mechanism by multiple ATS used in the NZ job market and to find out if you can trust AI with your own CV.
Event Date: 08-08-2020 - Session time: 13:10:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 13:10:00 - Track: Application Database Development
Now you've got 100k. There are performance issues, but nothing you can't handle with some DBCC FREEPROCCACHE calls when a "bad" plan is created or some ad-hoc creation of new covering indexes as the dev teams release features... Oh crap. Executives have just announced we're targeting 1M customers in 18 months.
This session talks about how to scale your data platform. It's not just a case of throwing more CPU and memory at the problem. We'll talk about how you can scale horizontally (sharding) as well as working with product teams to revisit their calls...
Event Date: 08-08-2020 - Session time: 13:10:00 - Track: Power BI
Event Date: 08-08-2020 - Session time: 13:10:00 - Track: Machine Learning Advanced Analytics
In this session, you will learn how to create a end-to-end ML lifecycle using Azure Machine Learning and automate Model management, deployment and monitoring using MLOps capabilities.
Event Date: 08-08-2020 - Session time: 14:05:00 - Track: Application Database Development
DMA (Assessment), DEA (Capture the trace / Replay the trace / Analyze), DMS (Migrate database)
Data Migration Assistant (DMA) Use DMA tool to detect potential compatibility issues which may impact database functionality after migration to Azure SQL managed Instance.
Database Experimentation Assistant (DEA) Evaluate targeted version of SQL Server instance for a specific workload, in this example Azure SQL Managed Instance. Create workload from the source SQL Server Instance using Extended Events XEL trace, replay that workload against the targeted Azure SQL Managed Instance, and then create report and analyze those two traces.
Azure Database Migration Service (DMS) Use Azure DMS as end-to-end solution for migrating source SQL Server databases to the cloud, in this example from SQL Server Instance on Azure VM (IaaS) towards Azure SQL Managed Instance (PaaS).
Event Date: 08-08-2020 - Session time: 14:05:00 - Track: Power BI
In this session I will show you how to use the Power BI REST API to extract your Power BI Audit Logs
I will then show you how to store the audit logs in Azure Storage. By storing the audit logs in Azure Storage not only can you keep the files there indefinitely but it also allows you to be able to bring this data quickly and easily into Power BI Desktop.
Finally I will give a quick overview of what a Power BI Audit Log usage report looks like, allowing me to understand my users usage on my reports and dashboards.
Event Date: 08-08-2020 - Session time: 14:05:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 14:05:00 - Track: Application Database Development
Running on ARM64 and x64 processors, it is an optimised relational database engine geared for IoT and IoT Edge deployments and provides capabilities such as data streaming, time series data, graph support and in-database machine learning.
In this session we will take a quick look at the features of this offering and then demonstrate how it can be deployed and run on an ARM64 Raspberry Pi device.
This session will be almost Demo's and will provide a clear guide on how to install and use SQL Server in small foot print devices.
Event Date: 08-08-2020 - Session time: 14:05:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 15:00:00 - Track: Cloud Application Development Deployment
In this session, I'll cover the basics of what graph databases are and how these concepts apply in Cosmos DB. Then I'll discuss how we can model our graph data in Cosmos DB, how we can optimize the performance of our Graph databases in Cosmos DB and how we can build applications to interact with our Graph databases.
By the end of this session, you'll leave with an understanding of what Graph databases are, how we apply that knowledge to Cosmos DB and how we can build graph databases in Azure Cosmos DB
Event Date: 08-08-2020 - Session time: 15:00:00 - Track: Cloud Application Development Deployment
Event Date: 08-08-2020 - Session time: 15:00:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 15:00:00 - Track: Power BI
I will be doing the following:
Creating a New Power App in Power BI Use this to enter the data you want to write back to the source. The same data can be instantly shown in Power BI Report
Event Date: 08-08-2020 - Session time: 15:00:00 - Track: Power BI
Event Date: 08-08-2020 - Session time: 15:55:00 - Track: Application Database Development
They provide a window over the result set and the ability to access data other than the current row. This means that somethings that may - at first - seem like they need row-by-row processing can be done in one single set-based query. The set of window functions available also includes server analytical functions that give the ability to perform statistical analysis. Come along to this session and see a deep dive into window functions and learn how their use will add to your ability to process data and write more efficient – and cleaner – queries.
Event Date: 08-08-2020 - Session time: 15:55:00 - Track: Application Database Development
This demo heavy introductory session will take you on a journey from first time introductions, to what is new and how this tooling makes your life easier as a Data Professional.
Event Date: 08-08-2020 - Session time: 15:55:00 - Track: Cloud Application Development Deployment
Infrastructure as code is a necessity than luxury. Terraform offer great IaC solution across multiple cloud vendors. In this session I will explain the importance of DevOps process for cloud resources and introduce how Terraform can be used for building your multi cloud IaC solutions.
Event Date: 08-08-2020 - Session time: 15:55:00 - Track: Application Database Development
Do you want to see the changes to a database/cube/report over time?
Do you need to identify where a field is used across your BI environment?
Do you have issues with parallel development?
Do you work in a Business Intelligence environment with no source control?
If you answered yes to any of these questions, then this session is for you! We will go through:
Let's bring order to your chaos!!
Event Date: 08-08-2020 - Session time: 15:55:00 - Track: Machine Learning Advanced Analytics
Event Date: 08-08-2020 - Session time: 16:50:00 - Track: Power BI
This session will guide you in analyzing the possible reasons for a slow Power BI report. By using Task Manager and DAX Studio, you will be able to determine whether you should change the report layout, or if there is something in DAX formulas or in the data model that is responsible for the slow response.
At the end of this session, you will understand how to locate a performance bottleneck in a Power BI report, so you will focus your attention on the biggest issue.
Event Date: 08-08-2020 - Session time: 16:50:00 - Track: Machine Learning Advanced Analytics
Both extraction and enrichment tasks are implemented through cognitive skills such as natural language processing and image processing skills with several possibilities: Entity recognition, language detection, sentiment detection, OCR, face detection...
In this session, the Azure Cognitive Search service will be explored and described. Then, an enrichment pipeline capable of extracting information from images and documents (PDF, Word) will be built in order to demonstrate a use case scenario, along with requirements, costs, related Azure services and a website/mobile app that allows users to look for information from the files.
Event Date: 08-08-2020 - Session time: 16:50:00 - Track: Application Database Development
Event Date: 08-08-2020 - Session time: 16:50:00 - Track: Power BI
During the presentation you will see:
Event Date: 08-08-2020 - Session time: 16:50:00 - Track: Application Database Development