Join this session if you are interested in the administration scenarios of the big data clusters, including tooling for monitoring, how to deploy and secure the environment, and to learn about the latest improvements.
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.
Data lakes have been around for years yet there is still much hype and hyperbole surrounding their use. This session goes beyond corny puns and broken metaphors and instead provides real-world guidance.
In this session you’ll learn more about Azure data services on Azure Arc
Learn all about Azure Synapse Analytics, including demos so you can see exactly how it works and how it can make your life easier.
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
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.
Building real-time big data analytics solutions with Azure Data Explorer and Azure Stream Analytics - Come learn about the latest that Azure has to offer in real-time analytics
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!
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.
Databricks, Lakes & Parquet are a match made in heaven, but explode with extra power when using Delta Lake. This session will dive into the details of how Databricks Delta works and how to make the most of it.
Come learn how to design your enterprise-scale data lake on Azure using Azure Data Lake Storage
Azure Synapse now provides a Query-as-a-Service capability to enable serverless exploration over your data lake with no infrastructure or clusters - all you need to know is T-SQL.
Come learn how you can leverage the new and advanced features of Delta Lake on Azure Databricks to easily transform your big data analytics and machine learning workloads
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
This session will dive into how to successfully migrate to Azure Synapse, all the way from code conversion to enterprise grade developer tooling, with real customer examples for product and migration experts.
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.
In this session, learn from the tools team about what a notebook is and how to use SQL, Python, and Powershell notebooks for deployment, automation, troubleshooting and analytics.
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.
Learn how you can take advantage of the separation of compute and storage between BDC and Hadoop to isolate your workloads and increase your compute processing power without having to scale your Hadoop environment.
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
A complete overview about SQL Server Big Data Clusters including it's major components and use-cases!
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!
Azure now has two slick, platform-as-a-service spark offerings, but which one should you choose? A separate specialist tools or a one-size-fits-all solution? Join Simon as he compares and contrasts the spark offerings.
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