Posted on September 30, 2025 in alpin · buch

Georg Bayerle schildert in seinem Buch der Alpen Appell den Konflikt zwischen der immer weitergehenden Erschließung und dem Versuch den Naturraum Alpen zu bewahren. Read More

Posted on September 20, 2025 in python

Extending Mistune 3 to parse inline wikilinks. Read More

Posted on September 19, 2025 in geo · gpx · bike

Bikerouter.de and Onroutemap.de are great tools to plan your long-distance, multi-day bikepacking adventures. Read More

Posted on October 13, 2024 in sql · sqlite

Using SQLite to store, query and modify JSON data with full flexibility. Uson JSON columns works best, if you need to support a flexible datamodel and during prototyping. Read More

Posted on March 12, 2024 in architecture · snowflake · sql

Hands-on patterns for operating Snowflake-backed ML platforms at scale. It covers tenant data duplication strategies, environment promotion workflows, ML experimentation with real customer data under strict controls, and operational trade-offs between cost, safety, and velocity. Read More

Posted on December 23, 2023 in python

Utilize SPARQL and Wikidata to efficiently query and retrieve data on mountain huts based on specified latitude and longitude coordinates. Read More

Posted on October 16, 2023 in architecture · snowflake · sql

Multi-tenancy is an architectural approach in which a single software system or data platform serves multiple independent customers (tenants), while ensuring that each tenant’s data, workloads, and configurations remain logically or physically isolated according to defined boundaries. Snowflake offers different options to achive tenant isolation. Read More

Posted on April 25, 2023 in python · conference

It's been now 10 years ago when Blue Yonder started the first sponsoring of a python conference at Europython Florence. Since then we have been either sponsoring and/or organizing at least one python event per year. Read More

Posted on December 16, 2022 in python · til · docker

Using a docker multistage to build turbodbc with pyarrow support Read More

Posted on December 4, 2022 in python · pydata · visualization · til

TIL how to use fontawesome markers with folium. Read More

Posted on December 1, 2022 in pydata · python · meetup

Forecasts crave a rating that reflects the forecast's quality in the context of what is possible in theory and what is reasonable to expect in practice. Read More

Posted on November 16, 2022 in python · sql · snowflake · pydata

Snowflake offers different ways to access and call python from within their compute infrastructure. This post will show how to access python in user defined functions, via stored procedures and in snowpark. Read More

Posted on January 10, 2021 in python · sql · mountain · sqlite

Conversion of the Himalayan database of the legendary Elizabeth Hawley from FoxPro to SQLite. Read More

Posted on September 27, 2020 in python · sql · pydata · azure

Using SQLAlchemy to create openrowset common table expressions for Azure Synapse SQL-on-Demand Read More

Posted on May 25, 2020 in python · parquet · pydata · pandas · azure

Inspired by Uwe Korns post on DuckDB this post shows how to use Azure Synapse SQL-on-Demand to query parquet files with T-SQL on a serverless cloud infrastructure. Read More

Posted on May 25, 2020 in python · sql · pydata · azure

Azure Synapse SQL-on-Demand offers a web client, the desktop version Azure Data studio and odbc access with turbodbc to query parquet files in the Azure Data Lake. Read More

Posted on February 1, 2020 in python · pydata · azure · parquet

Last summer Microsoft has rebranded the Azure Kusto Query engine as Azure Data Explorer. While it does not support fully elastic scaling, it at least allows to scale up and out a cluster via an API or the Azure portal to adapt to different workloads. It also offers parquet support out of the box which made me spend some time to look into it. Read More

Posted on January 19, 2020 in python · pydata · parquet · arrow · pandas

Apache Parquet is a columnar file format to work with gigabytes of data. Reading and writing parquet files is efficiently exposed to python with pyarrow. Additional statistics allow clients to use predicate pushdown to only read subsets of data to reduce I/O. Organizing data by column allows for better compression, as data is more homogeneous. Better compression also reduces the bandwidth required to read the input. Read More

Posted on January 11, 2020 in python · pydata

Microsoft has released a beta version of the python client azure-storage-file-datalake for the Azure Data Lake Storage Gen 2 service with support for hierarchical namespaces. Read More

Posted on December 13, 2019 in python · meetup · conference

Python Meetup with two talks about python usage in a data science environment and the different stages of a python package in this environment. Read More

Posted on December 11, 2019 in rust · meetup · conference

Rust Meetup in the new Blue Yonder office in Hamburg Read More