Gain a practical introduction to DataOps, a discipline for delivering data science at scale, inspired by practices from companies like Facebook, Uber, and eBay. Organizations require more than just advanced AI algorithms and skilled personnel to transform data into actionable insights and valuable analytical products. Traditional data management processes are inadequate for today’s diverse data and complex analytical needs. This book outlines methods to ensure the continuous and rapid use of data for creating analytical products and guiding decision-making. It demonstrates how to optimize the data supply chain from various raw sources to final outputs, whether for machine learning models or other data-driven results. By adopting lean thinking and agile principles, the book helps eliminate wasted efforts and enhances collaboration among data producers, consumers, and the broader organization. It also emphasizes improving the speed and accuracy of analytical application development through effective data management and DevOps practices. Readers will learn to develop a data strategy, eliminate barriers to data delivery, foster trust through rigorous testing, and create a culture of continuous improvement. This resource is designed for data science experts, CIOs, CDOs, business analysts, and IT professionals aiming to maximize the value derived from data.
Harvinder Atwal Knihy
