GDPR in DataOps: A Comprehensive Tutorial
1. Introduction & Overview What is GDPR? The General Data Protection Regulation (GDPR) is a data privacy law enacted by the European Union (EU) in May 2018. It governs how…
1. Introduction & Overview What is GDPR? The General Data Protection Regulation (GDPR) is a data privacy law enacted by the European Union (EU) in May 2018. It governs how…
1. Introduction & Overview What is Data Classification? Data Classification is the process of organizing data into categories based on its type, sensitivity, and business value. It determines how data…
1. Introduction & Overview What is a Data Catalog? A Data Catalog is a centralized inventory of an organization’s data assets. It enables teams to discover, classify, organize, and govern…
1. Introduction & Overview What is RBAC (Role-Based Access Control)? Role-Based Access Control (RBAC) is a security framework that restricts system access to authorized users based on their assigned roles.…
Introduction & Overview Data stewardship is a critical discipline within modern data management, ensuring data is accurate, secure, and usable across an organization. In the context of DataOps, a methodology…
Introduction & Overview Data Access Control (DAC) is a critical component in modern data management, ensuring that sensitive data is protected while enabling efficient workflows in DataOps environments. This tutorial…
Introduction & Overview Data Drift is a critical concept in DataOps, addressing the challenges of maintaining data quality and model performance in dynamic data environments. This tutorial provides an in-depth…
Introduction & Overview What is Alerting? Alerting in DataOps is the process of detecting and notifying stakeholders about significant events, anomalies, or threshold breaches in data pipelines, infrastructure, or applications.…
Introduction & Overview What is Root Cause Analysis? Root Cause Analysis (RCA) is a systematic process used to identify the underlying causes of problems or incidents in a system. In…
Introduction & Overview Incident Response (IR) in DataOps is a critical discipline that ensures rapid detection, analysis, and resolution of data-related incidents to maintain the integrity, availability, and reliability of…