Librería: Better World Books Ltd, Dunfermline, Reino Unido
EUR 18,15
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Añadir al carritoCondición: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Publicado por Apress, 2019
Librería: BoundlessBookstore, Wallingford, Reino Unido
EUR 19,05
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Añadir al carritoPaperback. Condición: Good. Good condition paperback with minimal wear. Contents are highlights.
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 30,74
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Practical Dataops: Delivering Agile Data Science at Scale 1.17. Book.
Librería: Brit Books, Milton Keynes, Reino Unido
EUR 34,45
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Añadir al carritoPaperback. Condición: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 27,52
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 41,94
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Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 32,11
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 38,23
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Añadir al carritoPF. Condición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 39,06
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 40,04
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Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 46,39
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Añadir al carritoPaperback. Condición: Brand New. 303 pages. 9.25x6.10x0.94 inches. In Stock.
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
EUR 27,18
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Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 30,03
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Añadir al carritoCondición: New.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 14,70
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Añadir al carritopaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 46,28
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 630.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 50,60
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 LearnDevelop a data strategy for your organization to help it reach its long-term goalsRecognize and eliminate barriers to delivering data to users at scaleWork on the right things for the right stakeholders through agile collaborationCreate trust in data via rigorous testing and effective data managementBuild a culture of learning and continuous improvement through monitoring deployments and measuring outcomesCreate cross-functional self-organizing teams focused on goals not reporting linesBuild robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data productsWho This Book Is ForData 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.