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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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing, Limited
[2022]
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009657478706719 |
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.
