9781484262276 - Data Teams: A Unified Management Model for Successful Data-Focused Teams de Anderson, Jesse (27 resultados)

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Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condición: New. 2020. 1st ed. paperback. . . . . .

Condición: New.

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Paperback. Condición: Brand New. 318 pages. 10.00x7.01x0.75 inches. In Stock.

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Condición: New. pp. 250.

Taschenbuch. Condición: Neu. Data Teams | A Unified Management Model for Successful Data-Focused Teams | Jesse Anderson | Taschenbuch | xxiv | Englisch | 2020 | Apress | EAN 9781484262276 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn how to run successful big data projects, how to resource your teams, and how the teams should work with each other to be cost effective. This book introduces the three teams necessary for successful projects, and what each team does.Most organizations fail with big data projects and the failure is almost always blamed on the technologies used. To be successful, organizations need to focus on both technology and management.Making use of data is a team sport. It takes different kinds of people with different skill sets all working together to get things done. In all but the smallest projects, people should be organized into multiple teams to reduce project failure and underperformance.This book focuses on management. A few years ago, there was little to nothing written or talked about on the management of big data projects or teams.Data Teams shows why management failures are at the root of so many project failures and how to proactively prevent such failures with your project.What You Will LearnDiscover the three teams that you will need to be successful with big dataUnderstand what a data scientist is and what a data science team doesUnderstand what a data engineer is and what a data engineering team doesUnderstand what an operations engineer is and what an operations team doesKnow how the teams and titles differ and why you need all three teamsRecognize the role that the business plays in working with data teams and how the rest of the organization contributes to successful data projectsWho This Book Is ForManagement, at all levels, including those who possess some technical ability and are about to embark on a big data project or have already started a big data project. It will be especially helpful for those who have projects whichmay be stuck and they do not know why, or who attended a conference or read about big data and are beginning their due diligence on what it will take to put a project in place.This book is also pertinent for leads or technical architects who are: on a team tasked by the business to figure out what it will take to start a project, in a project that is stuck, or need to determine whether there are non-technical problems affecting their project. 320 pp. Englisch.

Condición: New. Print on Demand pp. 250.

Condición: New. PRINT ON DEMAND pp. 250.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate user level|Helps you debug why your team is failing or underperforming due to management issuesCovers how to skill and resource data science, data engineering, and operations teamsTeaches you how to assign the right task to the.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Learn how to run successful big data projects, how to resource your teams, and how the teams should work with each other to be cost effective. This book introduces the three teams necessary for successful projects, and what each team does.Most organizations fail with big data projects and the failure is almost always blamed on the technologies used. To be successful, organizations need to focus on both technology and management.Making use of data is a team sport. It takes different kinds of people with different skill sets all working together to get things done. In all but the smallest projects, people should be organized into multiple teams to reduce project failure and underperformance.This book focuses on management. A few years ago, there was little to nothing written or talked about on the management of big data projects or teams. Data Teams shows why management failures are at the root of so many project failures and how to proactively prevent such failures with your project.What You Will LearnDiscover the three teams that you will need to be successful with big dataUnderstand what a data scientist is and what a data science team doesUnderstand what a data engineer is and what a data engineering team doesUnderstand what an operations engineer is and what an operations team doesKnow how the teams and titles differ and why you need all three teamsRecognize the role that the business plays in working with data teams and how the rest of the organization contributes to successful data projectsWho This Book Is ForManagement, at all levels, including those who possess some technical ability and are about to embark on a big data project or have already started a big data project. It will be especially helpful for those who have projects whichmay be stuck and they do not know why, or who attended a conference or read about big data and are beginning their due diligence on what it will take to put a project in place.This book is also pertinent for leads or technical architects who are: on a team tasked by the business to figure out what it will take to start a project, in a project that is stuck, or need to determine whether there are non-technical problems affecting their project.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to run successful big data projects, how to resource your teams, and how the teams should work with each other to be cost effective. This book introduces the three teams necessary for successful projects, and what each team does.Most organizations fail with big data projects and the failure is almost always blamed on the technologies used. To be successful, organizations need to focus on both technology and management.Making use of data is a team sport. It takes different kinds of people with different skill sets all working together to get things done. In all but the smallest projects, people should be organized into multiple teams to reduce project failure and underperformance.This book focuses on management. A few years ago, there was little to nothing written or talked about on the management of big data projects or teams.Data Teams shows why management failures are at the root of so many project failures and how to proactively prevent such failures with your project.What You Will LearnDiscover the three teams that you will need to be successful with big dataUnderstand what a data scientist is and what a data science team doesUnderstand what a data engineer is and what a data engineering team doesUnderstand what an operations engineer is and what an operations team doesKnow how the teams and titles differ and why you need all three teamsRecognize the role that the business plays in working with data teams and how the rest of the organization contributes to successful data projectsWho This Book Is ForManagement, at all levels, including those who possess some technical ability and are about to embark on a big data project or have already started a big data project. It will be especially helpful for those who have projects whichmay be stuck and they do not know why, or who attended a conference or read about big data and are beginning their due diligence on what it will take to put a project in place.This book is also pertinent for leads or technical architects who are: on a team tasked by the business to figure out what it will take to start a project, in a project that is stuck, or need to determine whether there are non-technical problems affecting their project.