André Kamman

André is a So-Called Modern Data Engineer and architect mostly in Azure. He has done a lot of DBA work on 1000’s of servers where he discovered his love for Powershell, architecting SQL Server solutions, building and tuning ETL processes (with BIML), and even implementing PDW. Having to wrangle a lot of data he's using Python, SparkSQL in Azure Databricks, Data Factory, Synapse and Power BI as well these days. André is a Data Platform MPV since 2009, Dutch Microsoft Data Platform Meetup lead, organiser of Data Saturday Holland and Data & BI track volunteer for Techorama Holland

André Kamman's Sessions

FinOps, how data engineers get their cloud cost under controlSQLBits 2023

Managing cloud cost is no longer a "management approves the budget" type of thing. Cloud Engineers need to architecht their solutions in such a way that cost can be kept under control. This is not a one time thing. Monitoring, automatic downsizing, re-factoring are all parts of the yearly tasks of any cloud team. We'll discuss theory, techniques, best practices and lessons learned.

Generate test data quick, easy and lots of it with the Databricks Labs Data GeneratorSQLBits 2023

We're not supposed to use production in dev right! But generating proper test data is not easy, get's even harder when you need quite a lot of it. I generate Terabytes of it, and without much trouble. Let me show you how!

Keynote by The CommunitySQLBits 2023

Ben and Rob have found some wonderful folk to actually do the important parts of the community keynote. on the theme of How to be a nonpassive member of the data community

Building your first Metadata Driven Azure Data FactorySQLBits 2022

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.

Looking under the hood of the parquet formatSQLBits 2022

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.