The Dataops Revolution
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The DataOps Revolution
DataOps is a new way of delivering data and analytics that is proven to get results. It enables IT and users to collaborate in the delivery of solutions that help organisations to embrace a data-driven culture. The DataOps Revolution: Delivering the Data-Driven Enterprise is a narrative about real world issues involved in using DataOps to make data-driven decisions in modern organisations. The book is built around real delivery examples based on the author’s own experience and lays out principles and a methodology for business success using DataOps. Presenting practical design patterns and DataOps approaches, the book shows how DataOps projects are run and presents the benefits of using DataOps to implement data solutions. Best practices are introduced in this book through the telling of a story, which relates how a lead manager must find a way through complexity to turn an organisation around. This narrative vividly illustrates DataOps in action, enabling readers to incorporate best practices into everyday projects. The book tells the story of an embattled CIO who turns to a new and untested project manager charged with a wide remit to roll out DataOps techniques to an entire organisation. It illustrates a different approach to addressing the challenges in bridging the gap between IT and the business. The approach presented in this story lines up to the six IMPACT pillars of the DataOps model that Kinaesis (www.kinaesis.com) has been using through its consultants to deliver successful projects and turn around failing deliveries. The pillars help to organise thinking and structure an approach to project delivery. The pillars are broken down and translated into steps that can be applied to real-world projects that can deliver satisfaction and fulfillment to customers and project team members.
Winning with DataOps: Harnessing Efficiency in the Enterprise
Author: Prabhu Krishnaswamy
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2023-08-18
In the fast-paced world of data-driven decision-making, DataOps has emerged as a transformative framework for organizations aiming to optimize their data ecosystems. Winning with DataOps: Harnessing Efficiency in the Enterprise is a definitive guide for senior executives, IT professionals, and data engineers striving to build agile, scalable, and secure data workflows that align with business goals. This book unpacks the core principles of DataOps, providing insights into its role in bridging the gap between legacy systems and cutting-edge technologies. From data pipeline automation and orchestration to governance and real-time security, the book offers actionable strategies for managing complex, large-scale data ecosystems. It also highlights the importance of aligning DataOps practices with organizational objectives to ensure that data-driven initiatives deliver measurable business value. Readers will explore practical methodologies for implementing robust data governance frameworks, ensuring compliance with global regulations, and leveraging tools like Apache Airflow, Kafka, and Collibra for pipeline optimization and lineage tracking. Case studies and industry examples illustrate the transformative power of DataOps in industries like healthcare, finance, and e-commerce, showcasing its potential to enhance efficiency, reliability, and innovation. Whether you ’ re integrating legacy systems with modern architectures, deploying real-time processing strategies, or navigating multi-cloud environments, Winning with DataOps equips you with the knowledge to harness the full potential of your data assets. This book is your roadmap to operational excellence and strategic advantage in the evolving digital landscape.
The fourth industrial revolution glossarium: over 1500 of the hottest terms you will use to create the future
Dear reader!Your attention is invited to a unique book!This is the result of many years of experience of the author in the field of information technology. This text, among other things, contains the hottest terms not only from other books of the author: «Glossary of Artificial Intelligence and Information Technology», «Glossary of the Digital Economy», «Glossary of Digital Health» and other books of the author, but also many terms on the theme of the Fourth industrial revolution.