DIFINITY 2020 Conference Sessions Recording
Difinity 2020 Conference happened in New Zealand with over 50 speakers and 65 sessions.
Difinity is the largest Microsoft Data, AI, Power BI, Power Platform and Business Applications Conference in New Zealand focusing on Data Platform, AI, Business Intelligence, Business Applications, Power Platform, and Analytics. IT Decision Makers, Developers, Business Analysts, IT Professionals, BI Managers, BI Professionals, Database Administrators, Architects, Digital & Big Data business leaders, and Consultants will gather for three consecutive days of learning.
There will be 50+ technical sessions delivered by more than 50 speakers from all around the world, including Microsoft Most Valuable Professionals, Microsoft Certified Masters, and Microsoft Corporate’s product teams. Sessions will be split into tracks for Data Platform, Business Intelligence, and Analytics.
50+ Speakers; 10+ from Microsoft, 20+ Microsoft Most Valuable Professionals (MVP), MCMs and Microsoft Certified Architects (MCA).
This course is a collection of all regular sessions recording (no pre-con or post-con workshops), which is 65 sessions. You can find a list of all the sessions here.
Lessons
02: Azure MLOps: Bring your DevOps to Machine Learning – Stefano Tempesta
MLOps empowers data scientists and app developers to bring machine learning models to production. Level: 300 Track: AI Access session materials here
03: Starting the Data Analytics Journey with Azure – David Alzamendi
Level: 100 Track: Business/Executive Ready to start your journey in Data Analytics? Wondering which Azure service offering will help you to develop your skills? Or maybe, what the difference is…
04: Faster SSIS – Andy Leonard
Level: 200 Track: Database/Azure Ever wonder why SSIS runs so slowly? Watch SSIS author Andy Leonard as he runs test loads using sample and real-world data, and shows you how…
05: The Finer Points of DAX – Matt Alington
Level: 200 Track: Power BI Power BI uses the DAX language to make self service BI accessible to the masses. DAX and Power BI use a different approach to BI…
06: Getting Hands on with Microsoft Power Virtual Agent – Charles Sterling
Level: 200 Track: Power Platform In this session Charles Sterling will take you on all demo tour of the newest member of the Power Platform: Microsoft Power Virtual Agents.
07: Understanding the differences in Azure Machine Learning Products – Ginger Grant
Level: 200 Track: AI When searching for Azure ML [AML], the browser returns a number of different products. Which product do you want to use when? Which is the appropriate…
08: Digital Innovation in the Blockchain Age – Stefano Tempesta
Track: Business/Executive With blockchain, we can imagine a world in which contracts are embedded in digital code and stored in transparent, shared databases, where they are protected from deletion, tampering,…
09: It’s broken, now what?! (Practical problem solving) – William Durkin
Level: 100 Track: Databse/Azure We’ve all experienced weird situations in IT – things break without any real apparent reason. Sometimes, error messages can be helpful, but mostly they are cryptic…
10: Evolving your Power BI Architecture using Dataflows and Shared Datasets – Ben Watt
Level: 200 Track: Power BI In this session we will look how the release of dataflows and shared datasets has changed the way we design our Power BI solutions. Starting…
11: Build Smart Applications AI Builder in Power Apps and Flow – Leila Etaati
Level: 200 Track: Power Platform There are some pre-built tools and Ai capability born with AI Builder in Power apps and Microsoft flow. In this session, an overview of what…
12: Connecting loT Data with Artificial Intelligence in Modern Azure loT Solutions – Mihail Mateev
Level: 200 Track: AI This talk is about intersection of IoT and artificial intelligence.IoT solutions to generate more data than traditional systems and users can analyse.Nowadays, AI enabled software solutions…
13: Building the Business Case – Steve Knutson
Track: Business/Executive How many great ideas never make it into production? Learn how to take your great idea to the business and get approval from the boss! Access the session…
14: Mastering DML Operations like a master – Uwe Ricken
Level: 300 Track:Database/Azure DML operations mean lot of work for the database engine of Microsoft SQL Server. Understanding the details of a DML transaction may give you great benefits when…
15: Debug DAX like a Pro – Phil Seamark
Level: 300 Track: Power BI I will share my leaning from being 1yr on the Power BI CAT team, showing how we debug DAX for large customers. Get a walkthrough…
16: Take control of Flow and PowerApps Governance – John Liu
Level: 200 Track: Power Platform The power couple Flow and PowerApps has hit business with a surprising amount of energy and delight, business agility has never been faster. But at…
17: Predictive Modeling with R – Dejan Sarka
Level: 300 Track: AI Many people thing first about predictions when they hear the term data science. And of course, predictive modeling is one of the most important data science…
18: The Summit of Self-Service Analytics, or the Abyss of Silos – Reza Rad
Track: Business/Executive Self-service data analysis is a shiny feature to have especially with recent tools such as Power BI. Users can build their own data model and visualise it the…
19: Snowflake on Azure – Regan Murphy
Level: 200 Track: Database/Azure Snowflake – the data warehouse built for the cloud – is now available on Microsoft Azure! If you’re in the cloud, or looking to move to…
20: Advanced Power Query Data Tricks – Ken Puls
Level 300: Track: Power BI Power Query is an amazing tool for cleaning up and loading your data, but sometimes you’ll run into some tricky data patterns. This session demos…
21: All the ways to do AI in Power Platform – Yana Berkovich
Level: 300 Track: Power Platform Can PowerBI do predictive analytics? How good it is for this purpose? We will explore the newest AI builder, all the different ways to build…
22: Build your first Model with Azure Machine Learning Services – Indira Bandari
Level: 100 Track: AI Azure Machine Learning Service provides SDKs and services to quickly prepare data, setup ML experiments, train and deploy the models. In this session you will learn…
23: Why Data Lake Projects Fail – Regan Murphy
Track: Business/ Executive Many organisations are either building data lakes, have a data lake strategy, or are thinking about building a data lake. According to industry reports, however, up to…
24: DevOps and Data Science – Hamish Watson
Level: 100 Track: Database/Azure Historically Data Scientists have typically worked off to one side of a business in a silo. However as data science projects have been brought into business…
25: DAX and Data Modelling – basic building blocks for business analysis – Owen Auger
Level: 100 Track: Power BI In this session I will cover a number of basic building blocks for business analytics in Power BI, illustrating how some common problems that I…
26: Life is easier with Sharepoint and Power Platform! – Zaki Semar
Level: 200 Track: Power Platform One of the most common needs in any organisation is to automate business processes and when it comes to automating business processes, there is nothing…
27: The road to hell is paved with good intentions – Michelle Burke
Level: 100 Track: AI AI and Machine Learning are the current leading trends in data and more developers and data scientists are getting involved in the next level of delivering…
28: Using data to accelerate transformation – Suzanne George
Track: Business/Executive Companies today are undertaking digital programs to bring momentum and transformation in response to customer demands. As a result, a leaders ability to lead and succeed in a…
29: Understanding the SQL Server flavors in the Azure and Architecting the Optimal Cloud Solution – Victor Isakov
Level: 200 Track: Database/Azure Microsoft has a number of SQL Server “flavors” in it’s Azure platform. Partners and vendors are recommending the wrong solutions. Organisations are deploying the wrong solutions.…
30: Working with large datasets in Power BI – David Lyth
Level: 300 Track: Power BI Power BI has come a long way from the early days of 250MB datasets, and we’re now able to work with very large volumes of…
31: Building intelligent Apps with the Azure Cognitive Services – Chris Hoder
Level: 200 Track: Power Platform Leading enterprises are using AI to power innovation across industries, including healthcare, automotive, and finance. In this talk, we will cover how enterprises are using…
32: Comparing Predictive Models with R, Python, SSAS and Azure ML – Dejan Sarka
Level: 200 Track: AI There is a lot of overlapping in Microsoft BI suite. For advanced analytics, like data mining, you can use SQL Server Analysis Services (SSAS), or R,…
33: Management of Smart Energy Systems with loT-Based Predictive Analytics for More Efficient Energy Consumption – Mihail Mateev
Track: Business/Executive Smart energy solutions and related systems like smart homes, smart cities are growing and stay the essential part of the whole ecosystem, so need use to optimize the…
34: My Top 5 Omissions from Azure SQL Database applications and how to fix them – Martin Cairney
Level: 200 Track: Database/Azure As a consultant, I am often called upon to help troubleshoot Azure SQL Database applications. Most of these could have been addressed with better design and…
35: Advanced Aggregations for Power BI and Analysis Services – Phil Seamark
Level: 300 Track: Power BI Aggregations will speed up any sized Power BI report. This session covers creative uses of several aggregation techniques to help take your data models to…
36: Integrating Power BI and Power Apps – Charles Sterling
Level: 200 Track: Power Platform While you may already familiar with Power BI, PowerApps, Microsoft Flow and perhaps the latest addition Power Virtual Agents; you may not know that Microsoft…
37: Getting started with managed Delta Lake on Azure Databricks – Chimene Bonhomme
Level: 200 Track: AI At Spark + AI Summit in April 2019, Databricks announced Delta Lake, open source storage layer engine built on top of Apache Spark for optimising data…
38: Self Service BI: The Value is in the Refresh – Ken Puls
Track: Business/Executive 2 text transaction files, a pivoted eExcel budget file, 20 Power Queries, 6 dimensional tables, and one interactive Excel dashboard = mind blowing awesomeness in under 60 minutes.…
39: Your Modern Data Warehouse Journey with Azure – David Alzamendi
Level: 300 Track: Database/Azure Game on! It’s time to move or create your data warehouse in Azure. What are the options? Access session material here
40: Paginated Reporting in Power BI – Craig Bryden
Level: 100 Track: Power BI Interactive reporting has changed the way that organisations share and consume information. Users can slice and dice their data in so many ways without needing…
41: PowerApps and Flow Best Practices, working with Data – Manohar Punna
Level: 100 Track: Power Platform Microsoft PowerApps and Flow have seen tremendous adoption in recent years. With an ever-growing need for rapid and agile solution development, these two products have…
42: Statistical Analysis with T-SQL – Dejan Sarka
Level: 400 Track: AI Transact-SQL language in latest editions of SQL Server has so many business intelligence (BI) improvements that it might become your primary analytic database system. You might…
43: Delivering Global Business Growth on the Power Platform and Azure – Jonathan Southee
Track: Business/Executive In this session we will describe our CRM roadmap approach for the last 3 years and how we have transformed the user experience. This has served as the…
44: SQL Server Big Data Clusters – Your single Data Hub, at scale – Ben Weissman
Level: 300 Track: Database/Azure With SQL Server 2019, Microsoft is introducing a new couple of features for data virtualization, data mart scale out and big data analysis. They all together…
45: Visual Guidance for Power BI – Yana Berkovich
Level: 200 Track: Power BI This colorful presentation is all about what works and what doesn’t when you are building your data visualizations and reports. We will review the guiding…
46: Power Platform Data Migration War Stories – Rami Mounla
Level: 300 Track: Power Platform Although the Power Platform is relatively new, online data services are not. With the majority of on-premise customers or private cloud customers moving to the…
47: What can DW/BI projects learn from collaboration programs – Suzanne George
Track: Business/Executive More often than not, organizational change programs and DW/BI projects do not intermingle with each other; however, these programs have learned over time how to build user-centric approaches…
48: Automation for the DBA: Embrace your inner sloth – William Durkin
Level: 200 Track: Database/Azure DBAs and sysadmins never have time for the fun stuff. We are always restoring a DB for a dev or setting up a new instance for…
49: Learn how Power BI can help with extracting data from a website – Indira Bandari
Level: 200 Track: Power BI In this session, Indira will go through the simple table import scenario using the “Add Data By Example” button to import data from a website…
50: Power BI Infographic related on the Power BI Ecosystem – Gilbert Quevauvilliers
Level: 100 Track: Power BI What actually makes up the Power BI Eco System? Access session material here
51: How to make everything with Microsoft Flow in 2020 – John Liu
Level: 100 Track: Power Platform Microsoft Flow is one of the strangest product from Microsoft. It is workflow, it is automation, it is Serverless Middleware, it orchestrates code in the…
52: Develop an intelligent search solution using Azure Cognitive Search – Anupama Natarajan
Level: 200 Track: AI Azure Cognitive Search provides an AI first approach to search and content understanding using built-in Cognitive Services. Whether you have structured, semi-structured or unstructured data, Azure…
53: Choose the right Infra/Data/loT service in Azure Cloud – Tariq Younas
Level: 200 Track: Database/Azure Microsoft Azure is offering 150+ services in Azure and keep stacking every day. It’s very hard to identify for Data Engineers, Developers, IT Pros and Architects…
54: Introduction to Ensemble Modelling using the example of DataVault – Ben Weissman
Level: 100 Track: Database/Azure Many of you may have heard about modelling techniques for enterprise DataWareHouses like DataVault. The core essence of many of these techniques are so called ensembles…
55: Practising Safe Custom Visuals – Daniel Marsh- Patrick
Level: 200 Track: Power BI Custom visuals provide further extension to Power BI’s already awesome visual palette and there are some incredibly useful and beautiful visuals available out there in…
56: Two Truths That’s a Lie: Data Visualization Ethics – Jonathan Stewart
Level: 200 Track: Power BI Data visualization is an impactful and influential method of telling a story, so it’s important to be as open and truthful as possible when telling…
57: Azure Services+Hardware = Drive Digital Transformation – Sudhir Rawat
Level: 200 Track: AI On the ground, there are small devices like raspberry pi, drone etc or sophisticated device like Azure Kinect DK has capabilities to capture data around us.…
58: Things I’ve learn’t from working with Data Scientists from Jupyter notebook to SQL Server Machine Learning – Heidi Hasting
Level: 100 Track: AI In this session we’ll cover– Jupiter notebook– SQL Server machine learning in DB— how to install— check setup— adding additional python modules– how to run python…
59: Lost in Data – How Metadata can help drive a self-service reporting portal – Robert Blaas
Track: Business/Executive With the ever increasing pressure on organizations to be data driven there is an urgency for organizations towards a more self-service reporting environment. Many business users get lost…
60: Back to the Future: Accelerating the Cloud Migration of Legacy SSIS with Azure Data Factory – Sandy Winarko
Level: 300 Track: Database/Azure This session focuses on the new features to unblock/accelerate cloud migration of legacy SSIS, such as 2008 or earlier versions, with Azure Data Factory (ADF). We…
61: Power BI Data Model and Relationship Simplified – Reza Rad
Level: 100 Track: Power BI Have you ever asked any of these questions from yourself: Which table you should get your values from? How your tables should be related to…
62: AI infused the real world – AI use cases in Microsoft Business Applications – Jian Sun
Level: 200 Track: AI Have you ever wondered how is AI built in Microsoft Dynamics 365 business applications? Come to this demo heavy session and explore the real use cases…
63: ETL in Big Data using Data flows in Azure Data Factory – Abhishek Narain
Level: 300 Track: Database/Azure Azure Data Factory is a hybrid data integration service that provides you with an intuitive visual drag-and-drop environment (data flow) for code-free ETL. So you can…
64: Overview of Power BI Premium – Gilbert Quevauvilliers
Level: 200 Track: Power BI will cover what Power BI Premium is, what features it offers. Then walk through showing people how it works by walking through demo’s using those…
65: Power BI Extensibility: Developers Guide – Sergei Gundorov
Level: 300 Track: Power BI Power BI is not just a self-service tool for business analysts. Power BI has many features that help developers build, extend and programmatically manage their…