Learn how powerful the Azure IoT suite is with Digital Twin and Data Explorer with lessons learned from the field.
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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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This session session aims to give you that context. We'll look at how spark-based engines work and how we can use them within Synapse Analytics. We'll dig into Delta, the underlying file format that enables the Lakehouse, and take a tour of how the Synapse compute engines interact with it. Finally, we'll draw out our whole Lakehouse architecture
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Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
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In this session, we will see how to use Delta Live Tables to build fast, reliable, scalable, and declarative ETL pipelines on Azure Databricks platform.
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Hybrid Tables in Power BI - Do you have the courage to mess with them? Jump in and together let's chop the data in static, incremental and instable data that is changing every second…
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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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SQLBits' has brought members of the Azure Synapse Program Group to Wales to ask YOUR questions. Bring your questions for: Dedicated SQL Pools, Serverless SQL Pools, Spark Pools, Pipelines, Kusto and everything else Synapse related.
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Join Patrick Leblanc from the Power BI CAT team, Josh Luedeman, and Bradley Ball from the Azure FastTrack PG as we talk about the most powerful Azure Service you’ve never heard of. If only you knew the name of the service. Come to this session, and you’ll never forget it!
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ADF Tips and Tricks which help you to speed up your Azure Data Integration solution,save operational cost and improve performance.
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In this demo filled session, learn how to view lineage data from Databricks Unity Catalog in Microsoft Purview.
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If you are interested in real-time data and analysis of said data, this session is for you. In this session, we look at how we can ingest streaming data from Azure Event Hubs into Azure Data Explorer and perform analysis of that data.
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In this session I'll cover what the Data Lakehouse architecture is, where it fits against existing architectures like a data warehouse, and why you should build one. We'll also cover the underlying technology options to arm you with all of the information you need to plan your next data platform.
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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.
Using open source apache nifi to integrate and ingest data at scale
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.
Overview to some of the more popular Azure Data Engineering services used to analyze data
Oh my goodness - the BI Power Hour is back!!
This session will introduce you to "What and why you should care about", and discuss "how" to apply the Security and Privacy lens for Big Data on AWS.
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
In this session, we will cut through the marketing buzzwords to share experiences, tips, and tricks on how to be successful with Data Science and Analytics in the real world. Tune in to hear the team share real-world experience and get takeaways from industry insiders on real projects with impact. We will also discuss the ethics and fairness of Data Science and Analytics projects and how we can be more inclusive from a technology, people, and process standpoint.
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Session covering table distributions, partitioning , RSC and materialised views.
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
Only the curious will learn and only the resolute overcome the obstacles to learning.
Building a Data Quality implementation in Purview using the Glossary and Databricks
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
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!
There are several different data platform solutions for use within your application. Selecting the right option can make the difference between a well-performing application and a poorly performing one; not to mention the cost aspect of choosing the wrong solution.
The "Meta-verse" - Using metadata to build your pipelines in less than 20 min
The video is not available to view online.
Synapse Analytics Serverless SQL Pools and Pipelines are the dream team when it comes to managing big data in Azure Data Lake, this session will take you through the process!
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
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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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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.
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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
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