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| from Alexandra Terwey

Relevance of Historised and Scalable Data Architectures for ML and AI

Learn how scalable and historised data architectures like Data Vault form the foundation for efficient data processing and future-proof applications in Machine Learning and AI.

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| from Almuth Hattwich

Is dbt the right ELT tool for you? 10 important considerations at a glance

This article will guide you through 10 important aspects to consider when evaluating whether dbt aligns with your needs and infrastructure.

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| from Rico Erhard

Event-Driven Architecture: Basics, advantages, and challenges

Discover in Rico's article the fundamental characteristics of event-driven architectures and how they enable powerful, resilient data-driven applications.

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| from Tobias & Julius

Managed GenAI in the Cloud: AWS Bedrock vs. Azure AI Studio

In this article, we present and compare two managed GenAI platforms: AWS Bedrock & Azure AI. Tobias and Julius explain what's new at the interface between artificial intelligence and the cloud.

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| from Valentin Dachtler

Reduce, reuse, recycle – Principles for Data Governance and Data Cataloguing in the age of Data Mesh and AI

These principles are crucial for data management and cataloguing in a data mesh architecture and the use of AI. Solid data management is essential in order to create a clear and standardised database. A robust data governance framework prevents the creation of data silos and optimises the benefits and cost efficiency of data.

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| from Chiheb Eddine Zoghlami

Cost monitoring in Snowflake using Streamlit

Organizations leveraging Snowflake's robust and adaptable cloud-based data platform for scalable data analytics need to be vigilant about managing costs. In this blog post, we will explore how to streamline cost monitoring for custom business cases within the Snowflake environment using Streamlit, a versatile and user-friendly Python framework.

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| from Nicolas Hajdu

Moving to the cloud, saving costs and increasing efficiency

What are the benefits of migrating from on-premise IT infrastructures to the cloud? Nicolas explains the most important aspects in terms of cost savings, the use of intelligent technologies and the use of serverless systems.

 

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| from Salvador Vigo Mármol

There are many good reasons to migrate to the cloud!

Migration to the cloud is essential in view of changing customer requirements, market dynamics and global events. Salvador uses three examples from different industries to explain how important it is to adapt quickly to dynamic business requirements.

 

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| from Markus Küsters

Building Better Code Together: The Key to Success with GitHub Workflow Testing

In this blog post, we explore the automated testing of reusable workflows. We show you how to develop better code by creating reliable workflows.

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| from Mustafa & Samuel

Using Terraform to deploy a Barebone serverless API in Azure API Management Service (Part 1)

In this series of blog posts, our Woodmark experts will show and explain a solution architecture for deploying an API service in the Azure cloud. To be more specific, a Barebone serverless API will be deployed into the Azure API Management service using Terraform.

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| from Dennis Goldner

AWS certification pays off

AWS certification offers several advantages for an upcoming migration, but also for architecture decisions in general. We look at these below from the perspectives of software architecture and DevOps culture.

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| from Sabrina Schuck

Tips and techniques for dashboard development on mobile devices

Unlocking the power of mobile Dashboards! In this post, Sabrina tells you that dashboard development requires a rethink of structure, design and content.

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