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Google BigQuery Training
What is Google BigQuery Training?
The Google BigQuery Training is designed to provide learners with an in-depth understanding of Google BigQuery's features and capabilities. This course focuses on SQL-based querying, data warehousing, and integration with other Google Cloud services to support scalable data analysis.
Learners will explore key functionalities such as data ingestion, transformation, partitioning, and performance optimisation. The training also includes hands-on labs and real-world use cases to demonstrate how to manage and query massive datasets efficiently within BigQuery.
This comprehensive 2-day Google BigQuery Training Course by Oakwood International prepares professionals to harness BigQuery for advanced data analytics and business intelligence.
Course Objectives
To understand the fundamentals and architecture of Google BigQuery
To learn how to create, manage, and optimise datasets within BigQuery
To explore SQL-based querying techniques for advanced data analysis
To integrate BigQuery with other Google Cloud tools and third-party platforms
To manage and transform data using BigQuery’s ETL capabilities
To leverage BigQuery for real-time analytics and machine learning applications
To enhance performance through query optimisation and resource partitioning
Upon completion, learners will be equipped to use Google BigQuery effectively, improving data analysis workflows and enabling strategic business decisions.
Course Outline
Google BigQuery Training
Module 1: Interacting with BigQuery
Introduction to BigQuery
BigQuery Sandbox and Web UI
Command-Line Tools
BigQuery Classic Web UI
Module 2: Running and Managing Jobs
Introduction
Running Jobs Programmatically
Managing Jobs
Module 3: Working with Datasets
Define Datasets
Dataset Locations
Creating and Copying Datasets
Controlling Access to Datasets
Listing Datasets
Updating Dataset Properties
Managing Datasets
Availability and Durability
Module 4: Working with Table Schemas
Specifying a Schema
Specifying Nested and Repeated Columns
Modifying Table Schemas
Manually Changing Table Schemas
Module 5: Working with Tables
Managing Tables and Table Data
Exporting Table Data
Updating Table Data Using DML
Module 6: Working with Partitioned Tables
What are Partitioned Tables?
Creating Ingestion-Time Partitioned Tables
Creating Date/Time Partitioned Tables
Managing and Querying Partitioned Tables
Using DML with Partitioned Tables
Module 7: Working with Clustered Tables
Define Clustered Tables
Creating and Using Clustered Tables
Module 8: Working with Views
Introduction to Views
Creating a View
Controlling Access to Views
Creating Authorised Views
Listing Views
Updating View Properties
Managing Views
Module 9: Labelling BigQuery Resources
Adding Labels
Viewing Labels
Updating Labels
Filtering Using Labels
Deleting Labels
Module 10: Loading Data into BigQuery
Loading Data from Cloud Storage
Loading Data from Local File
Module 11: Querying BigQuery Data
Running Interactive and Batch Queries
Writing Query Results
Using Cached Results
Querying Data Using a Wildcard Table
Saving and Sharing Queries
Scheduling Queries
Using the Query Plan Explanation
Module 12: Querying External Data Sources
Querying Cloud Bigtable
Querying Google Cloud Drive Data
Module 13: Controlling BigQuery Costs
Estimating Storage and Query Costs
Custom Cost Controls
Module 14: Securing BigQuery Resources
Encryption at Rest
Using Cloud DLP to Scan BigQuery Data
Module 15: BigQuery API Basics
Authentication
Batch Requests
Paging Through Tables
API Performance Tips
Included
Included
- No course includes are available.
Offered In This Course:
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Video Content
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eLearning Materials
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Study Resources
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Completion Certificate
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Tutor Support
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Interactive Quizzes
Individual Training
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Corporate Training
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Learning Options
Discover a range of flexible learning options designed to meet your needs. Select the format that best supports your personal growth and goals.
Online Instructor-Led Training
- Live virtual classes led by experienced trainers, offering real-time interaction and guidance for optimal learning outcomes.
Online Self-Paced Training
- Flexible learning at your own pace, with access to comprehensive course materials and resources available anytime, anywhere.
Build your future with Oakwood International
We empower you with the skills, knowledge, and confidence to excel in your career. Join us and take the first step towards realising your professional goals.
Frequently Asked Questions
Q. What topics are covered in the Google BigQuery Training Course?
The course covers data ingestion, querying, performance optimisation, integrations, and real-time analytics with Google BigQuery.
Q. How can this training benefit my career?
This training enhances your ability to analyse and manage large datasets, positioning you as a key player in data analytics, business intelligence, and cloud-based solutions.
Q. Is Google BigQuery applicable across industries?
Yes, BigQuery is widely used in finance, healthcare, retail, and technology industries for big data management and analytics.
Q. What support is provided during the training?
Learners receive study materials, practical exercises, and expert guidance to ensure effective learning and application.
Q. Is this course suitable for beginners?
Yes, this course starts with foundational concepts and progresses to advanced features, making it suitable for professionals at all levels.
