Sessions & Content

Search
Content Type
Conference
Tags
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.
Automate the deployment of Databricks components using Terraform Falek Miah
Introduction into Terraform, Databricks provider and steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.
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
Building the Lakehouse Architecture with Azure Synapse Analytics Mike Dobing
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
Enterprise Scale Analytics - What's in it for me Oliver Engels
Reality Check on Microsofts Enterprise Scale Analytics Framework
Implementing a Data Quality Framework in Purview Ust Oldfield
Building a Data Quality implementation in Purview using the Glossary and Databricks
Lessons in Lakehouse Automation Simon Whiteley
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.
Leveraging Apache Spark for Efficient Data Encryption at Scale Daniel Harrington
This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
Lightning Talk - Friday Various Speakers
A variety of 5 minute sessions to include:
Looking under the hood of the parquet format André Kamman
Understanding how the parquet format works helps with understanding why it can help you retreive your data fast, or perhaps why you struggle to get the desired performance out of your design.
Overview of Azure Synapse Analytics Dave Ruijter
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!
Patterns for Master Data Management in Azure Ben Jarvis
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.
Practical Lakehouse implementation in the enterprise Ivan Donev
Everything you need to know for impelenting a Lakehouse in the enterprise
So you want to be a Data Engineer? Michael Robson
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.
The Evolution of Data Platform Architectures in Azure - Lambda, Kappa, Delta, Data Mesh Paul Andrew
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
The video is not available to view online.
What makes Databricks a powerful Machine Learning tool? Liam Doyle
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.
The video is not available to view online.
<<1>>