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From Good AI to Good Data Engineering. Or how Responsible AI interplays with High Data Quality
From Good AI to Good Data Engineering. Or how Responsible AI interplays with High Data Quality
The intersection of artificial intelligence (AI) and data engineering has become increasingly critical. As AI technologies proliferate, the…
Thomas Kranzkowski
Oct 30
A glimpse into the life of a data leader
A glimpse into the life of a data leader
Last week, Dataminded organised a data leadership roundtable. We invited 20 decision takers of large data organisations, from Belgium, the…
Kris Peeters
Oct 22
How we democratized data access with Streamlit and Microsoft-powered automation
How we democratized data access with Streamlit and Microsoft-powered automation
Pieter Huycke
Sep 25
Unlocking the new Power of Advanced Analytics
Unlocking the new Power of Advanced Analytics
In recent years advanced analytics has become a cornerstone for businesses aiming to gain deeper insights and make informed decisions. This…
Thomas Kranzkowski
Sep 5
Microsoft Fabric’s Migration Hurdles: My Experience
Microsoft Fabric’s Migration Hurdles: My Experience
It has been more than a year since Microsoft announced their new all-mighty Fabric data platform. It offers a wide range of capabilities…
Raghid Bsat
Aug 8
Data Stability with Python: How to Catch Even the Smallest Changes
Data Stability with Python: How to Catch Even the Smallest Changes
As a data engineer, it is nearly always the safest option to run data pipelines every X minutes. This allows you to sleep well at night…
Grigorii Osipov
Aug 1
Clear signals: Enhancing communication within a data team
Clear signals: Enhancing communication within a data team
Clear, effective communication is as crucial to successful data engineering as technical expertise.
Tarik Jamoulle
Jul 16
Unlock Insights & Learnings: Dataminded Newsletter — June/July 2024 Edition
Unlock Insights & Learnings: Dataminded Newsletter — June/July 2024 Edition
Welcome to the June — July 2024 edition of the Dataminded Newsletter! These months have been full of events and exciting developments for…
Sofia Iamskaia
Jul 15
Trending blogs from Dataminded
How we reduced our docker build times by 40%
How we reduced our docker build times by 40%
This post describes two ways to speed up building your Docker images: caching build info remotely, using the link option when copying files
Niels Claeys
Oct 4, 2023
Prompt Engineering for a Better SQL Code Generation With LLMs
Prompt Engineering for a Better SQL Code Generation With LLMs
Picture yourself as a marketing executive tasked with optimising advertising strategies to target different customer segments effectively…
Raghid Bsat
May 29
The building blocks of successful Data Teams
The building blocks of successful Data Teams
Based on my experience I will elaborate on key criteria for building successful data teams
Niels Claeys
May 2
Pulumi vs. Terraform: Choosing your IaC Tool
Pulumi vs. Terraform: Choosing your IaC Tool
Similarities and differences
Ana Escobar
Feb 14, 2023
Use dbt and Duckdb instead of Spark in data pipelines
Use dbt and Duckdb instead of Spark in data pipelines
Dbt has become very popular for transformation on top of your data warehouse. We see potential to use dbt with Duckdb on top of a data…
Niels Claeys
Apr 11, 2023
Quack, Quack, Ka-Ching: Cut Costs by Querying Snowflake from DuckDB
Quack, Quack, Ka-Ching: Cut Costs by Querying Snowflake from DuckDB
How to leverage Snowflake’s support for interoperable open lakehouse technology — Iceberg — to save money.
Jonathan Merlevede
May 15
Quacking Queries in the Azure Cloud with DuckDB
Quacking Queries in the Azure Cloud with DuckDB
This post describes 2 Duckdb extensions that enable you to read data from Azure blob storage. It also shows code for both Python and dbt.
Niels Claeys
Jan 10
Growing your data program with a use-case-driven approach
Growing your data program with a use-case-driven approach
How to Bridge the Gap Between Strategic Vision and Tactical Execution in Data Initiatives
Frederic Vanderveken
Jan 23
Why DBT will one day be bigger than Spark
Why DBT will one day be bigger than Spark
The world of data is moving and shaking again. Ever since Hadoop came around, people were offloading workloads from their data warehouses…
Kris Peeters
Dec 18, 2020
Debugging Running Pods on Kubernetes
Debugging Running Pods on Kubernetes
Exploring Kubernetes’s debugging feature, kubectl debug, and extending kubectl debug to support volume mounts
Jonathan Merlevede
Oct 25, 2023
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