In this session we will demonstrate how to create value fast with Power Automate. We will do this by showing 5 types of flows that can give value with little development effort
A guide to available services and solutions for timeseries data
This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.
In this session we will introduce Azure Container Apps and understand how it can be used as a simple and cost-effective way to host applications in Azure
Data Engineer is an exciting and rewarding role. This session will describe a data engineer's responsibilities and give an overview of the skills needed to be an Azure Data Engineer.
How to deploy SQL databases, data factories, and tabular data models to Azure using Azure DevOps release pipelines.
You will be challenged with a case study to design a solution using Azure SQL Database capabilities. At the end of this session, you will better understand the possibilities to migrate on-premises databases to Azure SQL Database. You will learn how to synchronize data across different environments and get more insights on how to troubleshoot issues in Azure SQL Database. This is a hands-on, open discussions and team work kind of session (not a traditional slideshow).
The video is not available to view online.
Introductory view into Azure Synapse Analytics
Version control provides benefits beyond DevOps automation.
How to build a data platform in Azure
The video is not available to view online.
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
Let's unleash the true power of ADF, it's ability to dynamically inject metadata almost anywhere. No complicated frameworks in this session, I'll show you some simple but very powerful examples.
Use power bi to support strategic initiatives in process improvement and data architecture
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
This data governance session guides you through the organization processes, policies and roles that are required for a successful data governance adoption. In addition to demos showing the possibilities of Azure Purview (the MS data governance service), we will share about experiences from our data governance workshops and adoption projects with our customers.
A session for DBAs considering where their career needs to go.
Digital Twins - The need for connected data
The video is not available to view online.
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
Trying to rapidly build out an Engineering function to meet internal demand? Struggling to hire/retain the right resource and team structure? Listen to How Heathrow have laid out the foundations and accomplished a true Data Transformation by leveraging a partnership with Adatis. A must see, intriguing session to see how a Data Platform has been brought to life in Aviation.
The video is not available to view online.
Learn how to use Azure DevOps for your development and CICD processes
Hybrid Transactional Analytical Processing solve the age old problem of integrating operational processes with analytical capabilities within a single system. Find out what they're and how they deliver value
In this session we will go through the concepts that you need to grasp in order to get started with infrastructure as code for Azure. We will look at how the process for managing resources in Azure changes compared to the way we've previously done it, and finally we will explore a complete workflow of deploying your Azure data platform architecture as code using Terraform and how to work on that code with your team.
A session following the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management they unlock
The video is not available to view online.
The video is not available to view online.
What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice?
A variety of 5 minute sessions to include:
Join the Power Query Dataflows product team to learn about current state and future plans for Power Query, Connectors & Dataflows capabilities in Power BI and beyond.
Join me to learn how to migrate a traditional DW transformation process to Spark/Scala based platform and reuse existed experience
Curious what Azure Synapse Analytics brings to the table? Bring your scuba gear, as we take a dive and explore everything it has to offer!
Everything you need to know for impelenting a Lakehouse in the enterprise
As far upstream as possible. As far downstream as necessary. In 20 minutes.
Do not be afraid to move your onprem SSIS packages to Azure. Come and learn how lift and shift them to the cloud
An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
The video is not available to view online.
In this session Alberto compares different models with a star schema, showing the technical details why a star schema is quite always the best choice.
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
The video is not available to view online.
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
Azure Data Factory is a cloud native ETL service built for all data integration needs and skill levels. You can easily construct ETL and ELT processes code free or write your own code.
Learn how and where to use Azure Functions in cloud-based ETL processes
Considerations in how you buy Azure to provide maximum bang for buck
Come learn how you can convert you data into structured formats, apply machine learning skills and index it to make it easy to find information and relationships that can save you time and money.
How does a Modern Enterprise BI Architecture with Power BI, SQL Server, Hadoop and Azure look like? Visit my talk and I will show you how we at InnoGames put all these components together to simply make better decisions.
In this session we'll focus on the benefits of using Azure Data Lake. We will cover how we use ADLS in real projects to produce a security architecture which is adaptable, scalable and provides monitoring capabilities.
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Learn how Azure supports interactive, exploratory notebooks (e.g. Jupyter) for data processing and experimentation across a range of scales from simple single-computer work up to massively parallel Databricks clusters.
Deep dive into the Common Data Model world and learn how to deploy, extend and use it along with other Microsoft technologies like Power Apps, Power BI Dataflows and Azure Databricks.
Everything you need to know about dataflows & how to easily prep your data, leverage Microsoft’s standardized schema (CDM), improve time-to-value, eliminate data silos, & create one source of truth for your organization.
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