Transformative Data Pipelines for Analytics Using AWS Glue
Practical considerations for building analytics-ready data pipelines and data products using AWS Glue with Jupyter notebooks, Python, and Terraform.
Anti-Patterns in Data Mesh
This article explores common anti-patterns in implementing Data Mesh, a decentralized data architecture emphasizing domain-oriented data ownership. While Data Mesh aims to enhance data accessibility and usability across organizations, its success relies on understanding core principles: domain-driven data ownership, data products, and federated governance.
MLOps Automation
MLOps requires specialized knowledge that traditional DevOps teams lack. The challenges related to data quality, consistency, and accessibility demand a different set of skills and tools.
FinOps vs. Security
In the dynamic landscape of information technology, organizations are increasingly adopting cloud computing for its transformative impact. As sensitive data migrates to the cloud, robust policies, accountability, and security measures are crucial. Comprehensive policies covering data handling, access management, and encryption, along with employee training, are vital for effective cloud governance and defense against security threats.
FinOps
The persistent concern about managing cloud spend has led to the emergence of FinOps, a discipline that combines Finance and DevOps principles. You can begin your journey using a gradual process of Inform (understanding actual costs through tagging and policies), Optimize (collaboration and calculating ROI), and Operate (utilizing tagging and policies for various advantages, including added security)