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Keynote by the Community Ben Weissman (he/him)
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!
The video is not available to view online.
10 tips for a successful migration from Databricks and ADF to Synapse Dave Ruijter
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.
About time: how to work with timeseries in Azure Benjamin Kettner
A guide to available services and solutions for timeseries data
Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer Niels Berglund
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.
Apache NiFi 101: Introduction and Best Practices Timothy Spann
Using open source apache nifi to integrate and ingest data at scale
Azure Container Apps for Data Engineers Ben Jarvis
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
Azure Data Engineer Skills for Success Dustin Vannoy
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.
Azure Data Engineering services used to analyze data Kevin Chant
Overview to some of the more popular Azure Data Engineering services used to analyze data
Azure Data Factory - A deployment challenges Kamil Nowinski
I will show a few challenges while deploying Azure Data Factory and solution for them.
Big Data Implementation in AWS Cloud through the lens of Security and Privacy Shinduri Srinatha Reddy
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.
Cosmos 101 Scott Bell
Find out everything you need to know to get started with Azure Cosmos DB in 20 minutes or less.
Data Engineering the Hard Way: Developing Spark Applications on Kubernetes Gavin Campbell
Self-hosting Spark in Containers
Data Lakehouse, Data Mesh, and Data Fabric (the alphabet soup of data architectures) James Serra
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
Data Science and Analytics: Real-World Experience from Diverse voices in the field Jennifer Stirrup (She/Hers)
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.
The video is not available to view online.
Dedicated SQL Pools : How some stuff 'really' works Mark Pryce-Maher
Session covering table distributions, partitioning , RSC and materialised views.
Five steps to create a data-driven culture Justin Langford
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
Five steps to create a data-driven culture Justin Langford
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
Implementing a Data Quality Framework in Purview Ust Oldfield
Building a Data Quality implementation in Purview using the Glossary and Databricks
Is HTAP the future? Scott Bell
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
ksqlDB - The Real-Time Streaming Database Niels Berglund
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.
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