📘 Introduction & Overview What is Agile Data? Agile Data refers to the application of agile methodologies—like iterative development, cross-functional collaboration, and incremental delivery—to data management and data analytics processes.…
1. Introduction & Overview What is the DataOps Lifecycle? The DataOps Lifecycle refers to the end-to-end process of managing data workflows—from ingestion and transformation to deployment and monitoring—using DevOps principles…
1. Introduction & Overview What is Data Observability? Data Observability is the ability to fully understand the health, lineage, and performance of data across your infrastructure. In a DevSecOps context,…
1. Introduction & Overview What is Data Lineage? Data Lineage refers to the life cycle of data—its origins, movements, transformations, and how it interacts across systems. It maps the data…
1. Introduction & Overview What is Data Orchestration? Data orchestration is the automated process of organizing, coordinating, and managing data workflows across disparate systems and environments. In essence, it enables…
Introduction to Data Governance Data governance refers to the strategic management of data to ensure its availability, usability, integrity, and security within an organization’s systems. It encompasses policies, processes, standards,…
1. Introduction & Overview What is Data Quality? Data Quality refers to the degree to which data is accurate, complete, reliable, and fit for use. It encompasses the processes, standards,…
1. Introduction & Overview What is Data Engineering? Data Engineering involves the design, development, and management of scalable data infrastructure and pipelines that ingest, process, transform, and store data efficiently…
Introduction & Overview ✅ What is a Data Pipeline? A Data Pipeline is a set of automated processes that extract data from various sources, transform it into a usable format,…
1. Introduction & Overview What is DataOps? DataOps is a collaborative data management practice that applies Agile, DevOps, and lean manufacturing principles to the end-to-end data lifecycle. Its goal is…