3 days.


Big Data and Machine Learning Fundamentals

    Skills Gained

    • Describe BigQuery architecture fundamentals.
    • Implement storage and schema design patterns to improve performance
    • Use DML and schedule data transfers to ingest data.
    • Apply best practices to improve read efficiency and optimize query performance.
    • Manage capacity and automate workloads.
    • Understand patterns versus anti-patterns to optimize queries and improve read performance.
    • Use logging and monitoring tools to understand and optimize usage patterns.
    • Apply security best practices to govern data and resources.
    • Build and deploy several categories of machine learning models with BigQuery ML.

    Who Can Benefit?

    Data analysts, data scientists, data engineers, and developers who perform work on a scale that requires advanced BigQuery internals knowledge to optimize performance.

      Outline for Data Warehousing w/BigQuery: Storage Design, Query Optimization, Administration Training

      Course Outline

      • BigQuery Architecture Fundamentals
      • Storage and Schema Optimizations
      • Ingesting Data
      • Changing Data
      • Improving Read Performance
      • Optimizing and Troubleshooting Queries
      • Workload Management and Pricing
      • Logging and Monitoring
      • Security in BigQuery
      • Automating Workloads
      • Machine Learning in BigQuery
      06/05/2024 - 06/07/2024
      09:00 AM - 05:00 PM
      Eastern Standard Time
      Online Virtual Class
      USD $2,700.00