How do you test your data projects? Do you even test? Let's face the truth that data processing solutions are very rarely tested ... So let's start with fundamentals of (not only data warehouse) testing.
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.
Learn how to configure source control and use Azure Key Vault to implement Continuous Integration and Continuous Delivery (CI/CD) for Azure Data Factory solutions using Azure DevOps pipelines.
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.
This session will talk about how you can combine the serverless power of Azure Functions with the flexibility of Azure Cosmos DB to process large amounts of data and gain real-time insights.
Get an all-up Synapse platform overview, it’s way more than SQL DW. You’ll see demos with real-world scenarios, and you’ll learn the end-to-end; how to ingest, prepare, analyse, engineer and visualise data with Synapse.
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.
Learn how to use parameters, variables, expressions, functions, lookups, and loops to build a dynamic and reusable Azure Data Factory solution.
This session will cover how to create flexible, reliable, and scalable ETL and ELT pipelines across Azure using Azure Data Factory
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 common patterns for testing data, and the anti-patterns that trip developers up.
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.
Delivering enterprise BI with Power BI Premium tabular cubes, Azure Databricks ETL and Delta Lake for transaction integrity
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
Learn tips and tricks to make SSIS perform better.