BigQuery Fundamentals for Redshift Pros
Master BigQuery essentials: architecture, data management, and optimization. Ideal for Redshift professionals transitioning to Google Cloud.
Master BigQuery essentials: architecture, data management, and optimization. Ideal for Redshift professionals transitioning to Google Cloud.
This course offers a comprehensive introduction to BigQuery for professionals familiar with Redshift. It covers BigQuery's architecture, resource provisioning, data definition model, and best practices for data management and query optimization. Through interactive lectures and hands-on labs, participants learn to create and secure data assets, ingest data, and optimize performance. The course emphasizes comparisons between Redshift and BigQuery, facilitating a smooth transition for Redshift professionals to Google Cloud's data warehousing solution.
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What you'll learn
Describe BigQuery's architecture, resource provisioning, and data definition model
Create, secure, and share BigQuery data assets using best practices
Implement common patterns and best practices for designing schemas in BigQuery
Apply techniques for ingesting data into BigQuery efficiently
Optimize query performance and control costs in BigQuery
Compare and contrast the differences and commonalities between Redshift and BigQuery
Skills you'll gain
This course includes:
14 Minutes PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive introduction to BigQuery for professionals familiar with Redshift. It covers key aspects of BigQuery's architecture, resource provisioning, and data management. Participants learn about BigQuery's data definition model, Google Cloud IAM for security, data ingestion methods, schema design optimization, and SQL features. The curriculum emphasizes practical skills through hands-on labs and draws comparisons with Redshift to facilitate knowledge transfer. By the end of the course, learners will be equipped to effectively work with BigQuery, understanding its similarities and differences compared to Redshift.
BigQuery Architecture and Resource Provisioning
Module 1 · 1 Hours to complete
BigQuery Data Definition Model
Module 2 · 16 Minutes to complete
BigQuery and Google Cloud IAM
Module 3 · 1 Hours to complete
BigQuery Data Ingestion
Module 4 · 16 Minutes to complete
BigQuery Schema Design and Optimization
Module 5 · 1 Hours to complete
SQL in BigQuery
Module 6 · 1 Hours to complete
Fee Structure
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Instructor
Empowering Businesses with Expert Training from Google Cloud
The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.
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