Exploring Snowpark’s Capabilities for Python Developers on Snowflake
Learn how to efficiently build scalable Python-based data applications including third-party and custom dependencies on the Snowflake Data Cloud.
In this blog post inovex cooperates with the Baden Volleys Karlsruhe to research the automated generation of volleyball player statistics.
In this post, we want to focus on a feature that will be of interest to those who already operate a data warehouse in Databricks, or with Apache Spark: Snowpark.
Android Auto? Android Automotive? We aim to explore the integration of Android Auto functionality into our existing app.
Discover the Lean Practitioner Mesh Framework in fostering agile connections and knowledge exchange. Learn how to collaborate better in tech environments.
"Discover When USB Updates Trump Over-the-Air in IoT" - This article examines the critical factors for choosing an update mechanism, including failure resilience, roll-back mechanisms, and general security in the embedded and IoT landscape. Learn how to implement USB updates on a Yocto Linux platform using Mender and systemd.
Unser Wissen über Methoden und Technologien der Digitalen Transformation, die wir in unseren Projekten einsetzen, geben wir an unsere Kunden in Form von Trainings und Workshop-Angeboten weiter – wie in einer anwendungsorientierten „Academy“.
Jetzt stöbernThis article describes one possible way to automate Snowpark scripts written in Python with the help of the generic orchestration tool Apache Airflow.
Im Podcast Digital Future spricht inovex-Experte Wolfgang Schoch alle zwei Wochen über technologische und kulturelle Themen mit den Menschen, die bei inovex den Unterschied machen: den Mitarbeiter:innen.
Jetzt anhörenBy utilizing Streamlit and Snowflake, we were able to create a user-friendly data app that allowed us to analyze the internet speed of travelers.
Die ESW Group und ein inovex-Team forschen an der KI-gestützten Optimierung von Instandhaltungsprozessen in der industriellen Produktion.
We present our experiences we made during our journey to a data mesh together with a customer having more than 30 data product teams.
In this blog post, we explore methods for integrating knowledge graphs into Question Answering (QA) models and introduce our novel KG-enhanced model for generative QA that utilizes Graph Neural Networks.
Wir teilen unsere gesammelten Erfahrungen mit Microsoft Fabric – insbesondere die neuen Power-BI- und Dataflow-Funktionen.
The Snowflake query history helps you find problematic queries and gives insight into what optimization gives the biggest performance boost.