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97 Things Every Data Engineer Should Know : collective wisdom from the experts /

"If you create, manage, operate, or configure systems running in the cloud, you're a cloud engineer--even if you work as a system administrator, software developer, data scientist, or site reliability engineer. With this book, professionals from around the world provide valuable insight in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Macey, Tobias (Autor, Editor )
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc., 2021.
Edición:First edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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250 |a First edition. 
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264 4 |c ©2021 
300 |a 1 online resource (xiv, 246 pages) :  |b illustrations 
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500 |a Includes index. 
505 0 0 |t Three Keys to Making the Right Multicloud Decisions /  |r Brendan O'Leary --  |t Serverless Bad Practices /  |r Manases Jesus Galindo Bello --  |t Failing a Cloud Migration /  |r Lee Atchison --  |t Treat Your Cloud Environment as If It Were On Premises /  |r Iyana Garry --  |t What Is Toil, and Why Are SREs Obsessed with It? /  |r Zachary Nickens --  |t Lean QA: The QA Evolving in the DevOps World /  |r Theresa Neate --  |t How Economies of Scale Work in the Cloud /  |r Jon Moore --  |t The Cloud Is Not About the Cloud /  |r Ken Corless --  |t Data Gravity: The Importance of Data Management in the Cloud /  |r Geoff Hughes --  |t Even in the Cloud, the Network Is the Foundation /  |r David Murray --  |t Cloud Engineering Is About Culture, Not Containers /  |r Holly Cummins. 
520 |a "If you create, manage, operate, or configure systems running in the cloud, you're a cloud engineer--even if you work as a system administrator, software developer, data scientist, or site reliability engineer. With this book, professionals from around the world provide valuable insight into today's cloud engineering role. These concise articles explore the entire cloud computing experience, including fundamentals, architecture, and migration. You'll delve into security and compliance, operations and reliability, and software development. And examine networking, organizational culture, and more. You're sure to find 1, 2, or 97 things that inspire you to dig deeper and expand your own career."--Back cover 
520 |a Take advantage of the sky-high demand for data engineers today. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey from MIT Open Learning, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Projects include: Building pipelines Stream processing Data privacy and security Data governance and lineage Data storage and architecture Ecosystem of modern tools Data team makeup and culture Career advice. 
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