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Author: Sandeep Uttamchandani Publisher: ISBN: 9781492075257 Category : Languages : en Pages : 350
Book Description
The world's most valuable resource is data. Companies across all industry verticals are using data-driven insights as a key competitive advantage. But the time required for transforming raw data to insights can take days or weeks when you want it in minutes or hours. Data scientists spend nearly 80% of their time in data engineering, rather than developing insights. And most organizations can't scale their data science teams fast enough to keep up with growing business needs for better, faster insights. This book will help data engineers, data scientists, and data team managers address these issues by building a self-service data science platform that democratizes the ability to extract insights from the data to everyone in the organization. Data scientists, software engineers, product managers, and marketers can use it to discover, transform, and analyze data and publish automated insights in production. This book is not: A deep dive into the "shiny new" technologies, or any one specific technology A silver bullet technology for building a self-service portal. Organizations differ in their maturity, people, process, and technology and require tailored solutions This book is: A collection of must-have operational capabilities for building a self-service data portal A blueprint for achieving better and faster insights A process for democratizing data engineering expertise across an organization A practical and indispensable guide for any decision-maker, implementer, or strategist working with an organization's data science platform.
Author: Sandeep Uttamchandani Publisher: "O'Reilly Media, Inc." ISBN: 1492075205 Category : Computers Languages : en Pages : 297
Book Description
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization
Author: Sandeep Uttamchandani Publisher: ISBN: 9781492075257 Category : Languages : en Pages : 350
Book Description
The world's most valuable resource is data. Companies across all industry verticals are using data-driven insights as a key competitive advantage. But the time required for transforming raw data to insights can take days or weeks when you want it in minutes or hours. Data scientists spend nearly 80% of their time in data engineering, rather than developing insights. And most organizations can't scale their data science teams fast enough to keep up with growing business needs for better, faster insights. This book will help data engineers, data scientists, and data team managers address these issues by building a self-service data science platform that democratizes the ability to extract insights from the data to everyone in the organization. Data scientists, software engineers, product managers, and marketers can use it to discover, transform, and analyze data and publish automated insights in production. This book is not: A deep dive into the "shiny new" technologies, or any one specific technology A silver bullet technology for building a self-service portal. Organizations differ in their maturity, people, process, and technology and require tailored solutions This book is: A collection of must-have operational capabilities for building a self-service data portal A blueprint for achieving better and faster insights A process for democratizing data engineering expertise across an organization A practical and indispensable guide for any decision-maker, implementer, or strategist working with an organization's data science platform.
Author: Alex Gorelik Publisher: "O'Reilly Media, Inc." ISBN: 1491931507 Category : Computers Languages : en Pages : 224
Book Description
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries
Author: Piethein Strengholt Publisher: "O'Reilly Media, Inc." ISBN: 1492054739 Category : Computers Languages : en Pages : 404
Book Description
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Author: Sandeep Uttamchandani Publisher: O'Reilly Media ISBN: 1492075221 Category : Computers Languages : en Pages : 287
Book Description
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization
Author: Roadmap Nation Publisher: Chronicle Books ISBN: 1452173664 Category : Business & Economics Languages : en Pages : 369
Book Description
The New York Times bestseller is back! The career workbook Roadmap is better than ever. Roadmap has been updated and expanded with tons of brand new content—including chapters on changing directions mid-career and not letting your past define your future. Through inspirational stories and interviews, journal-like prompts, and practical career development information, this helpful resource will steer students, recent graduates, and career-changers toward an authentic, fulfilling life. • Features fresh perspectives from people like singer-songwriter John Legend, surfing world champion Layne Beachley, and MacArthur fellow and radio host Jad Abumrad • Full of advice for people seeking a fulfilling work life that will make them happy and keep them engaged • A self-mapped guide to creating a rewarding and satisfying work life Roadtrip Nation, based in Costa Mesa, was founded by Nathan Gebhard, Mike Marriner, and Brian McAllister in 2001, and has grown into a national career exploration movement, educational organization, and PBS series. Since its original publication in 2015, the team at Roadtrip Nation has continued to travel the world and interview accomplished individuals about their path to success. • Great for recent college graduates, interns, or anyone questioning their career path and in need of advice and a fresh perspective • Useful as a resource for career advisers, educators, and companies who want to foster an engaged workforce • Add it to the collection of books like What Color Is Your Parachute? 2019: A Practical Manual for Job-Hunters and Career-Changers by Richard N. Bolles, Designing Your Life: How to Build a Well-Lived, Joyful Life by Bill Burnett and Dave Evans, and How to Have a Good Day: Harness the Power of Behavioral Science to Transform Your Working Life by Caroline Webb
Author: Tiffany Pham Publisher: Taylor & Francis ISBN: 1315360322 Category : Business & Economics Languages : en Pages : 301
Book Description
Whether you are a CEO, CFO, board member, or an IT executive, From Business Strategy to Information Technology Roadmap: A Practical Guide for Executives and Board Members lays out a practical, how-to approach to identifying business strategies and creating value-driven technology roadmaps in your organization. Unlike many other books on the subject, you will not find theories or grandiose ideas here. This book uses numerous examples, illustrations, and case studies to show you how to solve the real-world problems that business executives and technology leaders face on a day-to-day basis. Filled with actionable advice you can use immediately, the authors introduce Agile and the Lean mindset in a manner that the people in your business and technology departments can easily understand. Ideal for executives in both the commercial and nonprofit sectors, it includes two case studies: one about a commercial family business that thrived to become a multi-million-dollar company and the other about a nonprofit association based in New York City that fights against child illiteracy.
Author: Julie Fuimano Publisher: Nurturing Your Success Publications ISBN: 9780976560531 Category : Conduct of life Languages : en Pages : 196
Book Description
The foundation of emotional intelligence is self- awareness. How do you learn to become more self-aware? The Journey Called YOU takes the reader on a journey into the world of self-awareness and self-wonder. It shows you how to discover yourself, to know yourself better, to accept yourself without judgment, and to make decisions that honor the highest form of you. In the end you feel more confident and grounded in yourself enabling you to be more authentic, manage yourself and your emotions more effectively, and lead others more assertively. There is as much to wonder about within you as there is in the world outside of you. Most of us look outside ourselves to find the answers. We look for pleasure in chasing goals and trying to accumulate stuff under the illusion that collecting things is what life is all about. We spend our time either berating and harshly judging ourselves or comparing ourselves to others to determine our successfulness based on some predetermined idea of what success is supposed to look like without really considering our own answers. In this book, you will learn how to discover your true nature and unleash the greatness within you. You will learn how to release yourself from the limiting beliefs and obstacles that hold you back from being all that is possible for you to become. You will learn how to create a vision for success and liberate yourself from the rules imposed by society and others so that you can make your own rules about how to live your life. And you will learn how to be authentically you, how to come to a place where you feel grounded in being you so that you feel comfortable in your own skin. You feel good about being you, you enjoy your life, and feel confident about the choices you make. As you increase your self-awareness, you access the power of choice and are better able to manage yourself and effectively lead others. This book shows you how to live a life that empowers you to be who you really are. A mixture of teaching tales, coaching tips, journaling exercises, and narrative divided into eight chapters, this eloquently written, easy-to-read book is designed to help you understand and accept yourself so you can make decisions every day that move you closer to the happy and fulfilled life you desire. You will learn how to use your personal power to free yourself to be you. After all, as Julie points out, "You are the most important person in your life! Without you, what do you have?"
Author: Tausifa Jan Saleem Publisher: John Wiley & Sons ISBN: 1119740754 Category : Mathematics Languages : en Pages : 402
Book Description
BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.
Author: Giuseppe Manzella Publisher: Elsevier ISBN: 0128225955 Category : Science Languages : en Pages : 398
Book Description
Ocean Science Data: Collection, Management, Networking, and Services presents the evolution of ocean science, information, theories, and data services for oceanographers looking for a better understanding of big data. The book is divided into chapters organized under the following main issues: marine science, history and data archaeology, data services in ocean science, society-driven data, and coproduction and education. Throughout the book, particular emphasis is put on data products quality and big data management strategy; embracing tools enabling data discovery, data preparation, self-service data accessibility, collaborative semantic metadata management, data standardization, and stream processing engines. Ocean Science Data provides an opportunity to start a new roadmap for data management issues, to be used for future collaboration among disciplines. This will include a focus on organizational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration, and continuous improvement of data management organization. This book is written for ocean scientists at postgraduate level and above as well as marine scientists and climate change scientists. Presents a coherent overview of state-of-the-art research concerning ocean data Provides an in-depth discussion of how ocean data impact all scales of the planetary system Includes global case studies from experts in ocean data
Author: Sandeep Uttamchandani
Author: Sandeep Uttamchandani
Author: Sandeep Uttamchandani
Author: Alex Gorelik
Author: Piethein Strengholt
Author: Sandeep Uttamchandani
Author: Roadmap Nation
Author: Tiffany Pham
Author: Julie Fuimano
Author: Tausifa Jan Saleem
Author: Giuseppe Manzella