News, Insights, and Events
Ethical Considerations in AI Development for Data Scientists and Data Engineers
The integration of Artificial Intelligence (AI) into our daily lives is no longer a matter of “if” but “how.
Deploying a Medallion Architecture on Azure, Part 1: Terraform, Azure Data Factory, and Change Data Capture
This post is written by Florian Valéry, Senior SRE. In the world of big data analytics, the ability to manage, process, and extract valuable insights from vast amounts of data is essential for modern businesses.
Handling Missing Data in Financial Models with Multiple Imputation
In the financial industry, where data drives decisions worth millions to billions of dollars, the integrity and completeness of datasets are of paramount importance.
Demystifying Data Mesh
The data landscape is moving fast right now, especially when you include AI/ML, and “Data Mesh” has emerged as an interesting concept, promising a revolutionary approach to how organizations manage and utilize their data.
A Modern Data Strategy: Medallion Architectures on DigitalOcean
In the ever-evolving landscape of cloud computing, deploying robust and scalable architectures is paramount for businesses seeking agility and efficiency.
Uncovering Hidden Biases in AI Datasets
In the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML), the integrity of datasets is paramount.
Azure Data Factory, Azure Databricks, and Azure SQL Server: A Focus on Change Data Capture and Medallion Architecture
Modern data architecture is continuously evolving to meet the need for more effective data management strategies.
Data Governance in the Cloud with Terraform
Effective data governance is crucial for any organization. It ensures that data is managed in a consistent, secure, and standardized manner, and is compliant with relevant regulations.
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