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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.
Learn how to design for speed, concurrency, and correctness and avoid common database development pitfalls.
Some types of data are a very bad fit for a database. Join me to see how to survive with a database full of data that should not be stored there. I will demonstrate how to deal with billions of rows of logs without trashing the database, how to store millions of pictures effectively and how to deal with dynamic attributes in a sensible way.
In this session we will demonstrate how to create value fast with Power Automate. We will do this by showing 5 types of flows that can give value with little development effort
A guide to available services and solutions for timeseries data
After understanding the basics, lets take the next step in data modeling in Power BI!
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
This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.
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.
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
Introductory view into Azure Synapse Analytics
Version control provides benefits beyond DevOps automation.
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
Let's unleash the true power of ADF, it's ability to dynamically inject metadata almost anywhere. No complicated frameworks in this session, I'll show you some simple but very powerful examples.
Find out everything you need to know to get started with Azure Cosmos DB in 20 minutes or less.
Your Azure Cosmos DB solution's performance and bill depends on partitioning and indexing. Please join me as I share how partitioning and indexing works in Azure Cosmos DB
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