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Reduce storage cost by performing regular maintenance on Delta Tables
Reduce storage cost by performing regular maintenance on Delta Tables
Implementing routine maintenance is a simple process that can yield significant benefits.
Jelmer Offenberg
Apr 5
Using secrets from Databricks secret scopes in jobs
Using secrets from Databricks secret scopes in jobs
This blog post provides examples on how you can easily provide secrets to your Databricks Jobs without exposing them, or relying on dbutils
Anton Steenvoorden
Mar 15
A New Method for Multi-Horizon Forecasting with Tree-based Models
A New Method for Multi-Horizon Forecasting with Tree-based Models
Stacking and masking datasets to enable more efficient multi-horizon forecasting.
Ruben van de Geer
Mar 11
Monitoring and Optimizing Databricks Job Cluster Utilization
Monitoring and Optimizing Databricks Job Cluster Utilization
Using Ganglia to programatically monitor utilization and rightsize Databricks job clusters.
Ruben van de Geer
Aug 22, 2023
Empowering Data Producers and Consumers: The Development of a Self-Service Data Platform
Empowering Data Producers and Consumers: The Development of a Self-Service Data Platform
At Albert Heijn we developed a self-service data platform. We empower data producers to make their data easily available, while enabling…
Charlotte van der Scheun
Jul 31, 2023
AH Food & Tech Week: Unleashing Gastronomic Geekery
AH Food & Tech Week: Unleashing Gastronomic Geekery
Last week we organised an event that bridged the gap between the technology and business side of our company. Let’s look back and dive into…
Esther van Tol
Jun 29, 2023
Privileged Identity Management(PIM) in Oracle Cloud using Azure AD
Privileged Identity Management(PIM) in Oracle Cloud using Azure AD
Azure PIM (Privileged Identity Management) can be a valuable tool for organisations using Oracle Cloud. With Azure PIM, you can control and…
Rajendra Shah
Jun 6, 2023
Attention-based Neural Networks in Recommender Systems — Albert Heijn/Erasmus University case study
Attention-based Neural Networks in Recommender Systems — Albert Heijn/Erasmus University case study
As in previous years, Albert Heijn’s Data Science department partnered with Erasmus University Rotterdam to offer Econometrics Masters…
Otto Haanappel
May 30, 2023
Time-series as a signal: Fast Fourier transform to decompose seasonality
Time-series as a signal: Fast Fourier transform to decompose seasonality
The easiest way to model seasonality is by using seasonal dummies. A more scientific method is to apply Fast Fourier Transform (FFT).
Frida Karvouni
Feb 24, 2023
Syncing Azure AD groups with Databricks user groups
Syncing Azure AD groups with Databricks user groups
Charlotte van der Scheun
Feb 8, 2023
Intrinsically interpretable models: explaining a linear regression model
Intrinsically interpretable models: explaining a linear regression model
A linear regression model is intrinsically interpretable. It is straightforward to calculate the marginal contribution of its features.
Frida Karvouni
Aug 29, 2022
Toward a single source of truth with forecast reconciliation!
Toward a single source of truth with forecast reconciliation!
In many large enterprises, forecasts are made throughout the company on different hierarchy levels for different goals. Perhaps one team…
Maxim De Mey
Aug 12, 2022
4 Tips for Making the Most of Your Data Science Thesis Internship at Albert Heijn
4 Tips for Making the Most of Your Data Science Thesis Internship at Albert Heijn
Albert Heijn offers many different internship opportunities. In the Data Science team we always have a number of interns working on…
Chun Cheng
Aug 5, 2022
Albert Heijn Technology Hackathon
Albert Heijn Technology Hackathon
Check out the Technology Hackathon movie to get a taste of the energy and creativity that was packed into the 24 hour event!
Simon Grest
Jul 27, 2022
Difference-in-differences estimation with proportional data
Difference-in-differences estimation with proportional data
Optimizing the online delivery process using data-driven experimentation
Jelmer Keuzenkamp
Jul 18, 2022
Android Jetpack Paging 3: Placeholders and Jumping Features
Android Jetpack Paging 3: Placeholders and Jumping Features
With the release of Paging 3, a host of new features have been made available: from first-class support for coroutines and Flow to data…
Eduardo Naveda
Apr 25, 2022
Albert Heijn Erasmus University Packaging Case Study
Albert Heijn Erasmus University Packaging Case Study
Masters Students from Erasmus University write about their solution to an online order packaging case study from Albert Heijn.
Simon Grest
Mar 23, 2022
Applying PC and DirectLiNGAM for Causal Discovery
Applying PC and DirectLiNGAM for Causal Discovery
Causal structure can be identified in observational data by causal discovery methods, such as PC and DirectLiNGAM — which should you use?
Frida Karvouni
Mar 14, 2022
A Paved Road for CI/CD using GitHub Actions
A Paved Road for CI/CD using GitHub Actions
Since Ahold-Delhaize has started their journey to migrate source code to GitHub, many brands have been adopting the use of GitHub Actions…
Reinier Timmer
Feb 5, 2022
Interaction effects in linear regression
Interaction effects in linear regression
When a promotion at Albert Heijn is planned, it is expected that the product sells more than in a normal week. How much more depends on a…
Frida Karvouni
Jan 11, 2022
AH Data Science Tech Radar
AH Data Science Tech Radar
How we use the Tech Radar to keep track of key technologies in our data products and provide recommendations to our teams.
Min Fang
Dec 13, 2021
Extending OLS — Quantile Regression
Extending OLS — Quantile Regression
The benefits of quantile regression over regular linear regression illustrated by a simulated retail store context at Albert Heijn.
Guus Verstegen
Nov 24, 2021
Teams-as-Code
Teams-as-Code
Speeding up on-boarding by managing your teams as code. For developer, by developers. Getting new employees up to speed in days/hours.
Jan van den Berg
Nov 17, 2021
Understanding customer behavior in multi-channel retail
Understanding customer behavior in multi-channel retail
A study of multi-channel shopping behavior and first insights on its impact on next basket prediction.
Mozhdeh Ariannezhad
Nov 17, 2021
GitHub organization managed by bots
GitHub organization managed by bots
When managing a large GitHub organization, it may be a considerable task to make sure that all teams, developers and repositories follow…
Reinier Timmer
Nov 9, 2021
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