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.
Data Mess to Data Mesh
The standard strategy of centralizing data into a single repository often leads to chaotic "data swamps.” Due to poor data quality and governance issues, these swaps hinder efficient analysis and decision-making. An alternative approach, known as Data Mesh, proposes a decentralized architecture focused on treating data as a product.
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)