El testing de pipelines de datos es la práctica de verificar la lógica de los pipelines antes de desplegarla, con datos de prueba controlados, igual que se testea cualquier software. Se organiza en tres niveles: tests unitarios, tests de integración y validación de contratos. Es la disciplina complementaria de las validaciones en producción del capítulo 24: aquellas vigilan los datos reales en ejecución; el testing atrapa los errores de lógica cuando corregirlos cuesta minutos, no horas de madrugada..

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Application security (AppSec) is an integral part of the development lifecycle, ensuring applications are built with security against various threats, including insider threats and malicious intrusion. Internal threats can occur due to human error and malicious acts like phishing schemes, and external threats can involve malware and injection attacks.

Most companies have a wealth of user data at their fingertips. This data can provide insights to inform marketing strategies, boost customer satisfaction, retain and attract customers. The key, however, lies in the way marketers collect, analyze, and leverage that data to reach desired goals. Marketing analytics enables marketers to gain actionable insights that drive results.
This article reviews the basic concepts of marketing analytics, including best practices and tools..

This article will discuss the connection between artificial intelligence and DevOps, with specific emphasis on the fields of machine learning and deep learning. You will then learn about five ways in which DevOps can leverage machine learning methods and AI to optimize workflows..

Big Data marketing refers to the use of high-velocity, voluminous, and variable data to improve a company’s marketing efforts. When people think of the term Big Data, they often make the erroneous assumption that it’s just about the size of the datasets.

However, Big Data refers to data expanding on two other fronts —velocity and variety..

Agile test metrics and KPIs are measurements that enable Agile teams to assess how effective their software tests are and whether their testing efforts help achieve specific business objectives. An important aim of Agile software testing is to get testing up to speed with development—metrics and KPIs can assess the efficacy of the Agile testing team in this context.

In this article, you'll find out about the important difference between a metric and a KPI, and why you need to distinguish between the two. You'll also get some examples of KPIs and metrics relevant to Agile software testing efforts. Finally, you'll learn exactly how KPIs and metrics can lead to overall improvement in software testing within an Agile framework in addition to understanding some important measuring pitfalls..