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André Kamman

André Kamman

Data Engineer & Data Architect based in The Netherlands

Amsterdam, The Netherlands

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André is a Data Engineer and architect mostly in Azure. He has done a lot of DBA work on 1000’s of SQL Servers where he discovered his love for Powershell, architecting data 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, dbt 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

Awards

Area of Expertise

  • Information & Communications Technology

Topics

  • DataSaturday
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Factory

an Introduction to DuckDB

Described as the SQL Lite for Analytics, DuckDB is the in-process OLAP engine that every Data professional should know about. This Open Source engine with Dutch and German roots can handle analytics workloads, and prove that it's really not always needed to use distributed spark systems.

an Introduction to Airflow

Doing your task orchestration in Data Factory but it's getting clunky? Outside the Microsoft stack usually using ADF as a scheduler is not even on the shortlist. Allow me to introduce you to Apache Airflow. We'll talk about how to host it, what the architecture behind the scenes looks like, and of course, we'll build a few pipelines to see it in action.

An introduction to DBT

The Data Engineer space is on fire, and new tools and techniques are showing up at breakneck speed.
Some of them seem to get more traction than others. DBT, or Data Build Tool, seems to be one of those highly popular tools.
Backed by venture capital and coming almost out of nowhere, I heard about it more and more and I got curious.
I've got some experience in the ETL world with old and new tech and big and small environments. Let's look at this thing together.
How does it work, where would it fit in a data warehouse stack and of course, is this something you or I would use?

André Kamman

Data Engineer & Data Architect based in The Netherlands

Amsterdam, The Netherlands

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