Build data pipelines in the Cloud - overview to help your data engineers through

You have been solicited to implement a new data pipeline architecture. The aim: turn wealth of raw data into friendly off-the-shelf data inputs for the data science, analytics and reporting teams.

Following Breuninger’s Data Engineering best practices, you will learn how to enforce a successful workflow, escape pitfalls and enable data-driven decisions to be made across the company.

Agenda:
1. Introduction Breuninger and Breuninger Digital
2. Workshop with:

• Assembling the 4 main ingredients: Ingest, Transform, Serve and Store
• Adding flavours into the cocktail: Orchestration, Data Management, Data Architecture, Security, DataOps and Software Engineering
• Outrunning the 3 most common etiquette mistakes: vanity projects, siloed teams, dim observability
• Deep-dive into a Data Science Application

And of course we'll have enough time for Q&A and networking.

The Speakers:

Dr. Alec Sproten (Head of Data Science)
As responsible for the Data Sciences at E. Breuninger GmbH & Co., Dr. Alec N. Sproten is responsible for all data scientific products in use and in development at Breuninger. In his past, he to supported German corporations in the data-driven transformation of their after sales business (with a focus on algorithmic pricing) and worked as Assistant Professor for Economic Theory. Alec is a psychologist and holds a PhD in economics.

Olivier Bénard (Data Engineer)
Olivier Bénard is Data Engineer at E. Breuninger GmbH & Co. He oversees the Google Cloud Platform (ensuring a 24/7 data availability); moves data from A to B; ingests data from different sources and monitors the overall workflow. The objective is to serve data to the analysts/BI/data science teams and back to the software teams (reverse ETL).

The Meetup will be in English.