DataOps

This book is a concise and up-to-date summary of the principles and procedures that make up DataOps. Fundamentals are covered include current trends, best practises, and essential components. DataOps is a tool for quickly and easily delivering high-quality analytics without sacrificing any agility.

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DataOps is an all-encompassing, non-technological strategy that integrates agile methodologies, automation, and collaboration among data professionals. This method was developed with the intention of speeding up and adding value to data-centric projects for enterprises. The DataOps methodology offers effective management of data by placing a focus on collaborative problem-solving, automated processes, and ongoing quality improvement. Its purpose is to simplify the process of collecting, storing, and analyzing data to enable organizations to make more informed decisions driven by the data.

DataOps, a volume in the IT Pro Practice Notes Series, lets busy IT professionals learn the essentials of this methodology. It covers such topics as:



Data unification
The DataOps framework
The DataOps ecosystem
Best practices
Technology trends

Concise and practical, the IT Pro Practice Notes Series is designed to help IT professional stay on top of the current state of practice in the IT field. These short and focused titles look at core concepts and cutting-edge topics. The goal is to help IT professionals to refresh and expand their practical knowledge about technology and management. The series will have a broad scope covering both technology and management. It will cover basics for professionals who need to quickly learn about the fundamentals of an area to which they are new. It will also cover trending and upcoming topics to meet the life-long learning needs of IT professionals who want to stay competitive in their careers.