The Dataops Revolution

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The Dataops Revolution

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Author : Simon Trewin
language : en
Publisher: CRC Press
Release Date : 2021-08-05

The Dataops Revolution written by Simon Trewin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-05 with Computers categories.

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

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Author : Prabhu Krishnaswamy
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2023-08-18

Winning With Dataops Harnessing Efficiency In The Enterprise written by Prabhu Krishnaswamy and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-18 with Business & Economics categories.

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

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Author : Alexander Chesalov
language : en
Publisher: Litres
Release Date : 2023-04-12

The Fourth Industrial Revolution Glossarium Over 1500 Of The Hottest Terms You Will Use To Create The Future written by Alexander Chesalov and has been published by Litres this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-12 with Reference categories.

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.

The Unicorn Project

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Author : Gene Kim
language : en
Publisher: IT Revolution
Release Date : 2019-11-26

The Unicorn Project written by Gene Kim and has been published by IT Revolution this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Business & Economics categories.

The Phoenix Project wowed over a half-million readers. Now comes the Wall Street Journal Bestselling Wall Street Journal bestselling The Unicorn Project! “The Unicorn Project is amazing, and I loved it 100 times more than The Phoenix Project…”—FERNANDO CORNAGO, Senior Director Platform Engineering, Adidas “Gene Kim does a masterful job of showing how … the efforts of many create lasting business advantages for all.”—DR. STEVEN SPEAR, author of The High-Velocity Edge, Sr. Lecturer at MIT, and principal of HVE LLC. “The Unicorn Project is so clever, so good, so crazy enlightening!”––CORNELIA DAVIS, Vice President Of Technology at Pivotal Software, Inc., Author of Cloud Native Patterns This highly anticipated follow-up to the bestselling title The Phoenix Project takes another look at Parts Unlimited, this time from the perspective of software development. In The Unicorn Project, we follow Maxine, a senior lead developer and architect, as she is exiled to the Phoenix Project, to the horror of her friends and colleagues, as punishment for contributing to a payroll outage. She tries to survive in what feels like a heartless and uncaring bureaucracy and to work within a system where no one can get anything done without endless committees, paperwork, and approvals. One day, she is approached by a ragtag bunch of misfits who say they want to overthrow the existing order, to liberate developers, to bring joy back to technology work, and to enable the business to win in a time of digital disruption. To her surprise, she finds herself drawn ever further into this movement, eventually becoming one of the leaders of the Rebellion, which puts her in the crosshairs of some familiar and very dangerous enemies. The Age of Software is here, and another mass extinction event looms—this is a story about rebel developers and business leaders working together, racing against time to innovate, survive, and thrive in a time of unprecedented uncertainty...and opportunity. “The Unicorn Project provides insanely useful insights on how to improve your technology business.”—DOMINICA DEGRANDIS, author of Making Work Visible and Director of Digital Transformation at Tasktop ——— “My goal in writing The Unicorn Project was to explore and reveal the necessary but invisible structures required to make developers (and all engineers) productive, and reveal the devastating effects of technical debt and complexity. I hope this book can create common ground for technology and business leaders to leave the past behind, and co-create a better future together.”—Gene Kim, November 2019

Practical Dataops

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Author : Harvinder Atwal
language : en
Publisher: Apress
Release Date : 2019-12-09

Practical Dataops written by Harvinder Atwal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with Computers categories.

Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles. This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will Learn Develop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data to users at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production.

Combining Dataops Mlops And Devops

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Author : Dr. Kalpesh Parikh
language : en
Publisher: BPB Publications
Release Date : 2022-05-16

Combining Dataops Mlops And Devops written by Dr. Kalpesh Parikh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Computers categories.

Accelerate the delivery of software, data, and machine learning KEY FEATURES ● Each chapter harmonizes the DevOps, Data Engineering, and Optimized Machine Learning cultures. ● Equips readers with AGILE skills to continuously re-prioritize production backlogs. ● Containerization, Docker, Kubernetes, DataOps, and MLOps are all rolled together. DESCRIPTION This book instructs readers on how to operationalize the creation of systems, software applications, and business information using the best practices of DevOps, DataOps, and MLOps, among other things. From software unit packaging code and its dependencies to automating the software development lifecycle and deployment, the book provides a learning roadmap that begins with the basics and progresses to advanced topics. This book teaches you how to create a culture of cooperation, affinity, and tooling at scale using DevOps, Docker, Kubernetes, Data Engineering, and Machine Learning. Microservices design, setting up clusters and maintaining them, processing data pipelines, and automating operations with machine learning are all topics that will aid you in your career. When you use each of the xOps methods described in the book, you will notice a clear shift in your understanding of system development. Throughout the book, you will see how every stage of software development is modernized with the most up-to-date technologies and the most effective project management approaches. WHAT YOU WILL LEARN ● Learn about the Packaging code and all its dependencies in a container. ● Utilize DevOps to automate every stage of software development. ● Learn how to create Microservices that are focused on a specific issue. ● Utilize Kubernetes to containerize applications in a variety of settings. ● Using DataOps, you can align people, processes, and technology. WHO THIS BOOK IS FOR This book is meant for the Software Engineering team, Data Professionals, IT Operations and Application Development Team with prior knowledge in software development. TABLE OF CONTENTS 1. Container – Containerization is the New Virtualization 2. Docker with Containers for Developing and Deploying Software 3. DevOps to Build at Scale a Culture of Collaboration, Affinity, and Tooling 4. Docker Containers for Microservices Architecture Design 5. Kubernetes – The Cluster Manager for Container 6. Data Engineering with DataOps 7. MLOps: Engineering Machine Learning Operations 8. xOps Best Practices

Risk Management Framework For Fourth Industrial Revolution Technologies

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Author : Omoseni Oyindamola Adepoju
language : en
Publisher: CRC Press
Release Date : 2024-10-24

Risk Management Framework For Fourth Industrial Revolution Technologies written by Omoseni Oyindamola Adepoju and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-24 with Technology & Engineering categories.

This book focuses on major challenges posed by the Fourth Industrial Revolution (4IR), particularly the associated risks. By recognizing and addressing these risks, it bridges the gap between technological advancements and effective risk management. It further facilitates a swift adoption of technology and equips readers with the knowledge to be cautious during its implementation. Divided into three parts, it covers an overview of 4IR and explores the risks and risk management techniques and comprehensive risk management framework specifically tailored for the 4IR. Features: • Establishes a risk management framework for Industry 4.0 technologies. • Provides a ‘one stop shop’ of different technologies emerging in the Fourth Industrial Revolution. • Follows a consistent structure for each key Industry 4.0 technology in separate chapters. • Details required risk management skills for the technologies of the Fourth Industrial Revolution. • Covers risk monitoring, control, and mitigation measures. This book is aimed at graduate students, technology enthusiasts, and researchers in computer sciences, technology management, business management, and industrial engineering.

Fail Fast Learn Faster

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Author : Randy Bean
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-31

Fail Fast Learn Faster written by Randy Bean and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Business & Economics categories.

Explore why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact – its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become "data-driven." Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to survive Why becoming data-driven forces companies to "think different" about their business The state of data in the corporate world today, and the principal challenges Why companies must develop a true "data culture" if they expect to change Examples of companies that are demonstrating data-driven leadership and what we can learn from them Why companies must learn to "fail fast and learn faster" to compete in the years ahead How the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future.

Sistemas De Big Data

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Author : VICTOR LÓPEZ
language : es
Publisher: Ediciones de la U
Release Date : 2023-07-27

Sistemas De Big Data written by VICTOR LÓPEZ and has been published by Ediciones de la U this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-27 with Computers categories.

El concepto de Big Data no solo hace referencia a grandes colecciones de datos, caracterizadas tanto por su volumen como por la variedad de formatos, sino que incluye también los sistemas y las tecnologías encargadas de almacenar, procesar y dar valor a toda esa información. La motivación para gestionar y analizar estos datos surge de la evidencia de que el estudio de estos grandes volúmenes permite adquirir un conocimiento que no es posible abordando solo conjuntos pequeños. De forma clara y didáctica, el presente libro proporciona una idea panorámica y completa de los diferentes sistemas involucrados en el tratamiento del dato. Esta visión general facilita al lector la comprensión sencilla de los temas tratados, y proporciona el posicionamiento y la asimilación de los distintos elementos que componen el ecosistema de tecnologías, servicios y soluciones de Big Data. Comenzando por las arquitecturas para la organización de la información, el libro se adentra en los sistemas para el almacenamiento y procesado del dato, llegando después a las distintas formas de explotación analítica: descriptiva, predictiva, prescriptiva y cognitiva. El gobierno del dato y la gestión de las distintas operaciones involucradas cierran este amplio e interesante recorrido.

The Ai Ladder

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Author : Rob Thomas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-04-30

The Ai Ladder written by Rob Thomas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-30 with Computers categories.

AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows