GCP Google cloud

  • cloud
  • devops
  • Data Science
  • Big Data
  • links
    • [From Data to Insights with GCP PUE SEPE](https://sepe.pue.es/cursos/google-cloud/data-engineering/from-data-to-insights-google-cloud-platform/ed829)
    • [Visualiza datos de BigQuery con Data Studio Google Cloud](https://cloud.google.com/bigquery/docs/visualize-data-studio?hl=es-419)
  • apuntes
  • Curso 1 Big Data & ML Fundamentals
    • GCP Big Data & ML Fundamentals apuntes
    • 00-MÓDULO 1 GCP FUNDAMENTALS – BIG DATA & MACHINE LEARNING
    • LAB 1 BIGQUERY
    • LAB 2 Cloud SQL Spark
    • LAB 3 Dataflow
    • LAB 4 AutoML Vision
  • Curso 2: FROM DATA TO INSIGHTS
    • GCP FROM DATA TO INSIGHTS labs apuntes
    • 00-GCP-Recursos
    • 00-MÓDULO 2 FROM DATA TO INSIGHTS WITH GOOGLE CLOUD PLATFORM
    • 01 Introducción GCP
    • 02 Analyzing Large Datasets with BigQuery
    • 03 - Exploring your Public Dataset with SQL
    • 04 - Cleaning and Transforming your Data with Cloud
    • 05 - Visualizing Insights and Creating Scheduled Queries
    • 06 - Storing and Ingesting new Datasets
    • 07 - Enriching your Data Warehouse with JOINs
    • 08 - Partitioning your Queries and Tables for Advanced Insights
    • 09 - Designing Schemas that Scale_ Arrays and Structs in BigQuery
    • 10 - Optimizing Queries for Performance
    • 11 - Controlling Access with Data Security Best Practices
    • 12 - Predicting Visitor Return Purchases with BigQuery ML
    • 13 - Deriving Insights from Unstructured Data using Machine Learning
    • 14 Completion
  • LABS FROM DATA TO INSIGHTS
    • 00-LABS CONTENT
    • LAB 1 BigQuery Basics
    • LAB 2 Ecommerce Dataset SQL BigQuery
    • LAB 3 Pipeline with Cloud Dataprep
    • LAB 4 BI Dashboard GDataStudio BigQuery
    • LAB 5 Ingesting New Datasets into BigQuery
    • LAB 6 Troubleshooting and Solving Data Join Pitfal
    • LAB 7 Creating Date-Partitioned Tables in BigQuery
    • LAB 8 Schema Design for Performance Arrays and Strings
    • LAB 10 Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
    • LAB 11 Classify Images of Clouds in the Cloud with AutoML Vision