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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.
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.
Overview to some of the more popular Azure Data Engineering services used to analyze data
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
Reality Check on Microsofts Enterprise Scale Analytics Framework
Building a Data Quality implementation in Purview using the Glossary and Databricks
This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
A variety of 5 minute sessions to include:
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.
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!
Everything you need to know for impelenting a Lakehouse in the enterprise
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.
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