Practical Dataops de Atwal, Harvinder Format Broché

Practical DataOps - Atwal, Harvinder

Format: Broché

Note : 0

Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre

51,17 €

Produit Neuf

Ou 12,79 € /mois

Livraison à 0,01 €

Voir les modes de livraison

PRO Vendeur favori

4,8/5 sur + de 1 000 ventes

Expédition rapide et soignée depuis l`Angleterre - Délai de livraison: entre 10 et 20 jours ouvrés.

Voir le détail de l'annonce

Vous avez choisi le retrait chez le vendeur à

Payez directement sur Rakuten (CB, PayPal, 4xCB...)
Récupérez le produit directement chez le vendeur
Rakuten vous rembourse en cas de problème

Terminer ma commande

Gratuit et sans engagement

Félicitations !

Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

TROUVER UN MAGASIN

Adresse

Retour

Horaires

Note :

Avis sur Practical Dataops de Atwal, Harvinder Format Broché - Livre Informatique

Note : 0 0 avis sur Practical Dataops de Atwal, Harvinder Format Broché - Livre Informatique

Donnez votre avis

Donnez votre avis sur ce produit

Votre note * : 1/5 2/5 3/5 4/5 5/5 Veuillez donner une note au produit

Le titre de votre avis* : Saisissez un titre

Quelques conseils :

Donnez le ton de votre avis, résumez-le en quelques mots qui apparaîtront comme le titre de votre avis.

Votre avis* : (40 caractères minimum) Saisissez un avis

Quelques conseils :

N'hésitez pas à mettre en avant les caractéristiques de ce produit, n'oubliez pas de mentionner ses avantages et/ou ses défauts éventuels. Décrivez précisément, argumentez, soyez convaincant !

Annuler

Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.

Produits similaires

Présentation Practical Dataops de Atwal, Harvinder Format Broché
- Livre Informatique

Livre Informatique - Atwal, Harvinder - 30/11/2019 - Broché - Langue : Anglais

Auteur(s) : Atwal, Harvinder

Editeur : Apress L.P.

Langue : Anglais

Parution : 30/11/2019

Format : Moyen, de 350g à 1kg

Nombre de pages : 304

Expédition : 576

Dimensions : 25.4 x 17.8 x 1.7

ISBN : 1484251032

Résumé :

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.

...

Biographie:

Harvinder Atwal is a data professional with an extensive career using analytics to enhance customer experience and improve business performance. He is excited not just by algorithms, but also by the people, processes, and technology changes needed to deliver value from data. He enjoys the exchange of ideas, and has spoken at O'Reilly Strata Data Conference London, ODSC London, and Data Leaders Summit Barcelona.

Harvinder currently leads the Group Data function responsible for the entire data life cycle, including: data acquisition, data management, data governance, cloud and on-premise data platform management, data engineering, business intelligence, product analytics, and data science at Moneysupermarket Group. Previously, he led analytics teams at Dunnhumby, Lloyds Banking Group, and British Airways. His education includes an undergraduate degree from University College London and a master's degree in Operational Research from Birmingham University's School of Engineering.

...

Sommaire:
Part I. Getting Started

1. The Problem with Data Science

2. Data Strategy

Part II. Toward DataOps

3. Lean Thinking

4. Agile Collaboration

5. Build Feedback and Measurement

Part III. Further Steps

6. Building Trust

7. DevOps for DataOps

8. Organizing for DataOps

Part IV. The Self-Service Organization

9. DataOps Technology

10. The DataOps Factory

Détails de conformité du produit

Consulter les détails de conformité de ce produit (

Personne responsable dans l'UE

)

Practical DataOps - Atwal, Harvinder

Avis sur Practical Dataops de Atwal, Harvinder Format Broché - Livre Informatique

Présentation Practical Dataops de Atwal, Harvinder Format Broché - Livre Informatique

Présentation Practical Dataops de Atwal, Harvinder Format Broché
- Livre Informatique