If you like writing SQL and need a cheap data platform in Azure, this session is for you. This session will describe the architecture for a metadata driven, minimalistic Azure data platform using Synapse Analytics (serverless SQL) and data lake. You will get to know when this works well, and when it does not.
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Introductory session to Azure Data Explorer that shows some examples how to set up ADX and how to use it.
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In this session, seasoned data engineer and youtube grumbler Simon Whiteley takes us on a journey through the current industry trends and buzzwords, carving through the hype to get at the underlying ideals.
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Data Governance is an enabler. Explore what the new world of Data Governance is and how we help businesses understand the benefits, why it is important, and how to get started in simple agile steps and where Microsoft Purview fits.
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Improve analytic queries by unlocking the secrets of columnstore compression!
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Modern software engineering and management for ETL, so data analysts and engineers can spend less time on tooling and focus on getting value from data.
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Learn some of the root causes of high cloud bills and what you can do to solve them.
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What should you do when DirectQuery is the ONLY available option? How to reduce the data model size, while at the same time satisfying business requirements? I'll share tips, tricks and workarounds learned and implemented in real-life scenarios on enterprise data models.
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In this demo-rich session you will learn how you can implement a framework for data quality validation and monitoring, spanning your end-to-end data platform including Power BI!
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In this short session, we will go through the what, how and why of Power BI Datamarts. What is this feature you can find in Power BI Service? How can you use it to model your data, improve control and enable self-service? Why should you use Power BI Datamarts?
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Tired of writing the same old Insert/Update/Delete statements over and over? Is your pipelines folder overflowing? Need to get your new data warehouse up and running as fast as possible? Metadata (data about data) comes to the rescue and in this session we’ll show you how.
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Providing a business with an organized and propagated data catalogue is essential with ever growing demands and questions about your data platform. How are your data assets organised and how can you track lineage? In this session we will demonstrate how data landscaping can be achieved with Azure Purview and how business terminology and ownership can be assigned throughout.
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Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.
A guide to available services and solutions for timeseries data
In this demo-filled session we get an overview of Azure Data Explorer, which is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. We look at how to ingest data, as well as query in real-time against billions of rows with sub-second latency.
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
Overview to some of the more popular Azure Data Engineering services used to analyze data
I will show a few challenges while deploying Azure Data Factory and solution for them.
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.
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
Being data-driven is all about making decisions based on insights generated using data.​
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Being data-driven is all about making decisions based on insights generated using data.​
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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.
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In this demo filled session we see how we use ksqlDB to gain real-time insights into streaming data. We look at push/pull queries, User Defined Functions, tables and streams.
SolarWinds Orion - Monitoring Beyond The Database
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A session following the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management they unlock
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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!
Do your source systems contain duplicate data? Are the business begging you to merge together multiple, disparate sources to provide a single view of entities such as products and customers? Are you struggling to meet these requirements using PaaS services in Azure? If so, then this session is for you.
The video is not available to view online.
Everything you need to know for impelenting a Lakehouse in the enterprise
In this session we will share our experiences and examples of real-world AI scenarios and architectures from around the globe, covering a variety of use cases across different industries.
As far upstream as possible. As far downstream as necessary. In 20 minutes.
This session is designed to explore some of the powerful features that made Databricks the leader in the Gartner 2021 Quadrant for Data Science and Machine Learning.
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Bidirectional filters are a powerful tool, probably too powerful for most data models. In this quick talk we show the reason why most users should avoid using the feature, unless they understand well the implications.
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
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.
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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.
Learn the tools and techniques you can use to create governance and insights around your Azure spend
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
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!
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.
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.
This short session will cover some scenarios of cleansing data in Power Query using M, Python, or both languages.
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!
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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.
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