Course Outline

Introduction to BigQuery

  • BigQuery architecture and features
  • Cost model and pricing structure
  • Overview of query execution and storage

Optimizing Queries and Reducing Costs

  • Query tuning techniques
  • Partitioned and clustered tables
  • Monitoring and analyzing query performance
  • Hands-on lab: optimizing queries for cost efficiency

Data Ingestion and Transformation

  • Loading data from external sources
  • Using Dataflow and Dataprep for ETL
  • Materialized views and scheduled queries
  • Hands-on lab: building a reporting pipeline

Introduction to BigQuery ML

  • Overview of machine learning in BigQuery
  • Supported model types (linear regression, logistic regression, clustering, etc.)
  • SQL syntax for ML models
  • Hands-on lab: creating and training a model

Building Predictive Models with BigQuery ML

  • Training and evaluating models
  • Using ML.EVALUATE and ML.PREDICT
  • Integrating predictions into reports
  • Hands-on lab: predictive analytics workflow

Best Practices for Enterprise Analytics

  • Governance and access control
  • Managing large datasets at scale
  • Cost control strategies
  • Case studies of successful implementations

Summary and Next Steps

Requirements

  • Basic knowledge of SQL
  • Familiarity with data management concepts
  • Experience with reporting or analytics tools

Audience

  • Data analysts
  • BI developers
  • Data engineers
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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