Introduction & Overview What is Data Anomaly Detection? Data anomaly detection is the process of identifying patterns or data points that deviate significantly from expected behavior in datasets. These anomalies,…
Introduction & Overview What is Great Expectations? Great Expectations (GX) is an open-source Python-based framework designed for data validation, documentation, and profiling. It enables data teams to define “Expectations”—assertions about…
Introduction & Overview Data Quality Testing (DQT) ensures that data used in analytics, machine learning, and business intelligence is accurate, consistent, and reliable. In DataOps, a methodology that applies DevOps…
Introduction & Overview What is Integration Testing? Integration testing verifies that individual modules or components of a data pipeline work together as expected. Unlike unit testing, which focuses on isolated…
Introduction & Overview Unit testing is a fundamental practice in DataOps, ensuring the reliability and accuracy of individual components within data pipelines. This tutorial provides a detailed guide to unit…
Introduction & Overview What is Apache NiFi? Apache NiFi is an open-source data integration and automation tool designed to manage, transform, and route data flows between systems in real time…
Introduction & Overview Apache Kafka is a distributed streaming platform that has become a cornerstone in modern DataOps practices. This tutorial provides an in-depth exploration of Kafka, focusing on its…
Introduction & Overview Message queues are a cornerstone of modern data architectures, enabling asynchronous communication between systems in DataOps workflows. This tutorial explores message queues, their role in DataOps, and…
Introduction & Overview Real-time data processing is a critical enabler for modern data-driven organizations, providing immediate insights for rapid decision-making. In the context of DataOps, real-time data supports seamless integration,…
Introduction & Overview Batch processing is a foundational technique in DataOps, enabling organizations to handle large volumes of data efficiently by processing them in groups or batches. This tutorial provides…