BigQuery Fundamentals for Oracle Professionals
Master BigQuery: Learn architecture, data management, and SQL optimization for Oracle pros transitioning to Google Cloud.
Master BigQuery: Learn architecture, data management, and SQL optimization for Oracle pros transitioning to Google Cloud.
This course is designed for Oracle professionals transitioning to Google Cloud's BigQuery. It covers essential BigQuery concepts, drawing parallels with Oracle to facilitate learning. The curriculum includes BigQuery's architecture, resource provisioning, data definition model, and Google Cloud IAM. Students will learn to create and manage datasets, tables, and security settings. The course emphasizes data ingestion techniques, schema design optimization, and SQL query performance tuning in BigQuery. Through hands-on labs and comparative analysis with Oracle, participants will gain practical skills in BigQuery operations, including workload monitoring, data sharing, and cost optimization. By the end of the course, learners will be equipped to effectively design, implement, and manage data warehousing solutions in BigQuery, leveraging their Oracle background.
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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 for designing schemas in BigQuery
Apply best practices for ingesting data into BigQuery
Optimize query performance and control costs in BigQuery
Compare and contrast the differences between Oracle and BigQuery
Skills you'll gain
This course includes:
4 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 with Oracle database experience. It covers the fundamental concepts and practical skills needed to effectively use BigQuery in a cloud data warehousing context. The curriculum is structured to leverage existing knowledge of Oracle systems, highlighting similarities and differences to accelerate learning. Key topics include BigQuery's architecture and resource management, data definition and security models, data ingestion strategies, schema optimization, and SQL query performance tuning. Through a combination of theoretical lessons and hands-on labs, participants will gain practical experience in designing, implementing, and managing data solutions in BigQuery. The course emphasizes best practices for data management, security, and cost optimization in the Google Cloud environment.
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
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