Woodmark Blog
Reporting for Everyone – Making Accessibility a Success
From 2025 onwards, accessibility in reporting will increasingly become a legal requirement – especially for public reports. In this article, Sabrina explains which tools can support you and how to design reports that are accessible to everyone.
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Kafka vs. Kinesis: Which Solution is Right for Me? A Comparison Using Sensor Data.
Data in motion, but which system is the right fit? Apache Kafka and AWS Kinesis are among the leading technologies for processing large data streams. Whether it's sensor data, log analysis, or real-time dashboards – find out which tool is the best choice for your project.
Read more … Kafka vs. Kinesis: Which Solution is Right for Me? A Comparison Using Sensor Data.
AI in Platform Solutions – Already a Real Asset Today
Platform solutions form the foundation of modern IT landscapes – but it is only through the targeted use of artificial intelligence, particularly generative AI, that they realise their full potential. This article offers a practical perspective on how AI supports the entire lifecycle of platforms – from initial concept and development through to day-to-day operations.
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AWS Cloud Services in Professional Sport: Data Analytics, Streaming and More
Discover how modern sports organisations use AWS Cloud Services to analyse real-time data streams, optimise game strategies, and reimagine the fan experience. From Bundesliga stadiums to scouting the next big talent – this is how the cloud is transforming professional sport.
Read more … AWS Cloud Services in Professional Sport: Data Analytics, Streaming and More
BI Battle: Tableau vs. QuickSight
Tableau or QuickSight – which BI tool comes out on top? Discover how the two platforms perform across seven disciplines and find out which one best meets your requirements!
2025 Amazon QuickSight: The Future-Oriented Business Intelligence Solution?
Discover everything you need to know about Amazon QuickSight in this blog post. We highlight its advantages and disadvantages, explore who can benefit from this AWS solution, and provide practical tips for implementation to help you maximize the value of your data.
Read more … 2025 Amazon QuickSight: The Future-Oriented Business Intelligence Solution?
From API to S3 Data Lake: ETL Solutions in AWS
Relevance of Historised and Scalable Data Architectures for ML and AI
Read more … Relevance of Historised and Scalable Data Architectures for ML and AI
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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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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Managed GenAI in the Cloud: AWS Bedrock vs. Azure AI Studio
Read more … Managed GenAI in the Cloud: AWS Bedrock vs. Azure AI Studio
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.