Explore ways to derive insights from data at scale using BigQuery, Google Cloud’s serverless, highly scalable, and cost-effective cloud data warehouse. This course uses lectures, demos, and hands-on labs to teach you the fundamentals of BigQuery, including how to create a data transformation pipeline, build a BI dashboard, ingest new datasets, and design schemas at scale.
From Data to Insights with Google Cloud Platform
- Intermedio
Pr贸ximos inicios
No disponibles en este momento.
Objetivos
- Derive insights from data using the analysis and visualization tools on Google Cloud Platform
- Load, clean, and transform data at scale with GoogleCloud Dataprep
- Explore and Visualize data using Google Data Studio
- Troubleshoot, optimize, and write high performance queries
- Practice with pre-built ML APIs for image and text understanding
- Train classification and forecasting ML models using SQLwith BQML
Requisitos
Basic proficiency with ANSI SQL
Contenidos
Modulo 1: Introduction to Data on the Google Cloud Platform
Modulo 2: Big Data Tools Overview
Modulo 3: Exploring your Data with SQL
Modulo 4: Google BigQuery Pricing
Modulo 5: Cleaning and Transforming your Data
Modulo 6: Storing and Exporting Data
Modulo 7: Ingesting New Datasets into Google BigQuery
Modulo 8: Data Visualization
Modulo 9: Joining and Merging Datasets
Modulo 10: Advanced Functions and Clauses
Modulo 11: Schema Design and Nested Data Structures
Modulo 12: More Visualization with Google Data Studio
Modulo 13: Optimizing for Performance
Modulo 14: Data Access
Modulo 15: Notebooks in the Cloud
Modulo 16: How Google does Machine Learning
Modulo 17: Applying Machine Learning to your Datasets (BQML)
Material del curso
Documentaci贸n Oficial de Google Cloud -From Data to Insights with Google Cloud Platform
Perfil del docente
- Formador Certificado por GCP
- M谩s de 5 a帽os de experiencia profesional
- M谩s de 4 a帽os de experiencia docente
- Profesional activo en empresas del sector IT
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