Join Rob and Ben for a fun filled hour from the community for the community as they invite a concatenation of community experts on stage and let them show us what their favorite data platform feature is and why!
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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.
Using open source apache nifi to integrate and ingest data at scale
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
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
I will show a few challenges while deploying Azure Data Factory and solution for them.
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.
Find out everything you need to know to get started with Azure Cosmos DB in 20 minutes or less.
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.
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
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
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.
A session following the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management they unlock
The video is not available to view online.
The video is not available to view online.
What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice?
This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
Join me to learn how to migrate a traditional DW transformation process to Spark/Scala based platform and reuse existed experience
Join us for this discussion as we delve into the best approaches to monitoring complex SQL Server estates and lessons learned along the way.
The video is not available to view online.
A data warehouse is a method for providing a single source of truth, but there may be issues on relying on just one model as it does not meet the needs of all users or all types of data. In this session we will explore how to build a data environment which provides flexibility to different groups of users and examples of how to implement different types of technology to provide a broader set of solutions using Azure Synapse, Data lakes and Power BI.
The video is not available to view online.
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!
Introduction of areas for partitioning for Beginners
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.
As far upstream as possible. As far downstream as necessary. In 20 minutes.
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.
An introduction to becoming a Data Engineer, Anna, Mikey and Ust will introduce the technology stack, tools and development skills needed for data engineering and show you how and where to go to learn them. We'll also show you how the skills you already have can kickstart your journey to becoming a Data Engineer.
Get your data lake into shape with the recently announced Database Templates for Synapse Analytics.
The video is not available to view online.
The "Meta-verse" - Using metadata to build your pipelines in less than 20 min
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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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The fundamentals of building a lakehouse with Synapse
This session is specifically designed to inform you, the DBA, about the tools and language I’m giving your developers in order for them to communicate their needs.
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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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Lets beat the SQL Data loading World-Record - all live demo!
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