Data engineering with Google Cloud Platform : a practical guide to operationalizing scalable data analytics systems on GCP /

Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Widjaja, Adi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2022.
Temas:
Big data.
Cloud computing.
Web services.
Computer organization.
Données volumineuses.
Infonuagique.
Services Web.
Ordinateurs > Conception et construction.
Big data
Cloud computing
Computer organization
Web services
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents Fundamentals of Data Engineering Big Data Capabilities on GCP Building a Data Warehouse in BigQuery Building Orchestration for Batch Data Loading Using Cloud Composer Building a Data Lake Using Dataproc Processing Streaming Data with Pub/Sub and Dataflow Visualizing Data for Making Data-Driven Decisions with Data Studio Building Machine Learning Solutions on Google Cloud Platform User and Project Management in GCP Cost Strategy in GCP CI/CD on Google Cloud Platform for Data Engineers Boosting Your Confidence as a Data Engineer.

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