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.
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
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.
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.
Date fields play an important role in virtually all cases of advanced analytics. The "problem & solution" style session can be very useful given the large number and variety of scenarios that may arise
dbatools is an open source PowerShell module. This session will walk through several life hacks that you can take back to work and quickly implement to make your life easier and impress your friends.
Are you a .NET developer who's being FOMO'ing over all the machine learning goodness? Thanks to ML.NET, this is no longer the case! Learn how you can use your C# skills to build some awesome ML applications!
Are you looking to take your career to the next step? Microsoft Certifications help validate knowledge and ability required to perform current and future industry job-roles in a modern digital business. Our certification
Azure's breadth of products can make technology selection a challenge. Learn how to make pragmatic and informed choices that meet your application's data transformation, processing and storage requirements.
This session focuses on the all PaaS solution of Azure SQL DB/Managed Instance (MI) + SSIS in Azure Data Factory (ADF) to lift & shift, modernize, and extend ETL workflows.
Azure Databricks has become one of the staples of big data processing. See how to make the most of it by understanding how Spark works under the covers.
In this session you will get a birds eye view of all the features in Azure Data Factory, and see this demonstrated in a cloud ETL.
A review of how the Power Platform can be adopted by an organization to successfully meet their data needs. Based on real-world implementations with customers.
An opportunity to explore Scala, and why it is truly a “Data Engineers language”. Using Azure Functions, Data Factory, Azure Data Lake Gen2 and Databricks the basics will be explored, followed by real world examples
Databricks Delta Lake brings new levels of reliability and transformation abilities to big data solutions. Come and learn how you can simplify your ETL and maximise data consistency and resilience, no matter the size
This session will discuss how to look at your workload holistically using a variety of methods, so that you can target and address patterns in your code and query plans, rather than troubleshooting one query at a time.
See how we can address the problem of real-time analysis, on data in its raw form, without going through the whole ETL/ELT process, using Azure Data Explorer. We will also explore this solution in a demo!
Testing data in SQL Server is hard, but it is easier than having to restore your database. This session will show how easy it is to test database code using industry frameworks, tools and processes
Automation for deploying, monitoring and alerting in a data lake data platform using Terraform, DevOps, Application Insights, Log Analytics and PowerBI.
The session is for everyone who knows the data warehousing concept and wants to broad theirs horizons with modern capabilities of processing the data at scale.
If you have heard about Query Store but don't know what it can offer, or why you really need it, this session will answer those questions and demonstrate the value of this feature that continues to evolve.
<<1>>