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Mastering Google BigQuery; Unlocking Insights from Large-Scale Data Analysis

$199.00
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Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
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Mastering Google BigQuery: Unlocking Insights from Large-Scale Data Analysis



Course Overview

This comprehensive course is designed to help you master Google BigQuery, a powerful tool for large-scale data analysis. With interactive and engaging lessons, you'll learn how to unlock insights from your data and make informed decisions. Upon completion, you'll receive a certificate issued by The Art of Service.



Course Features

  • Interactive and engaging lessons
  • Comprehensive and personalized curriculum
  • Up-to-date and practical knowledge
  • Real-world applications and case studies
  • High-quality content and expert instructors
  • Certificate upon completion
  • Flexible learning and user-friendly interface
  • Mobile-accessible and community-driven
  • Actionable insights and hands-on projects
  • Bite-sized lessons and lifetime access
  • Gamification and progress tracking


Course Outline

Module 1: Introduction to Google BigQuery

  • What is Google BigQuery?
  • Benefits of using BigQuery
  • BigQuery architecture and components
  • Setting up a BigQuery account
  • Basic BigQuery concepts and terminology

Module 2: Data Ingestion and Loading

  • Data ingestion methods
  • Loading data from various sources (e.g., CSV, JSON, Avro)
  • Using BigQuery Data Transfer Service
  • BigQuery Data Loading best practices
  • Troubleshooting data loading issues

Module 3: Data Storage and Management

  • Understanding BigQuery storage options (e.g., tables, views, datasets)
  • Creating and managing tables and views
  • Understanding data types and schema
  • Data partitioning and clustering
  • Data lifecycle management

Module 4: Querying and Analyzing Data

  • Writing SQL queries in BigQuery
  • Understanding query syntax and functions
  • Using BigQuery Query Editor
  • Optimizing query performance
  • Using BigQuery caching and materialized views

Module 5: Advanced Querying and Analytics

  • Using BigQuery advanced query features (e.g., arrays, structs, window functions)
  • Creating and using user-defined functions (UDFs)
  • Using BigQuery machine learning (ML) functions
  • Integrating BigQuery with other Google Cloud services (e.g., Data Studio, Google Analytics)
  • Using BigQuery for real-time analytics and event-driven processing

Module 6: Security, Governance, and Compliance

  • Understanding BigQuery security and access control
  • Managing roles and permissions
  • Using BigQuery Identity and Access Management (IAM)
  • Understanding data encryption and key management
  • Compliance and regulatory requirements (e.g., GDPR, HIPAA)

Module 7: Performance Optimization and Troubleshooting

  • Understanding BigQuery performance and scalability
  • Optimizing query performance and resource utilization
  • Troubleshooting common issues (e.g., errors, slow queries)
  • Using BigQuery monitoring and logging
  • Best practices for performance optimization and troubleshooting

Module 8: Real-World Applications and Case Studies

  • Real-world examples of BigQuery in action
  • Case studies of successful BigQuery implementations
  • Industry-specific use cases (e.g., finance, healthcare, retail)
  • BigQuery for IoT, AI, and machine learning
  • Future directions and emerging trends in BigQuery


Certificate and Assessment

Upon completion of the course, you will receive a certificate issued by The Art of Service. The certificate is based on your participation and completion of the course assessments, which include quizzes, assignments, and a final project.



Lifetime Access and Support

With this course, you'll get lifetime access to the course materials, including updates and new content. You'll also receive support from our expert instructors and community of learners.

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