Data Warehousing with Google BigQuery: Storage Design, Query Optimization, and Administration
- Course Code GO9096
- Duration 3 days
Course Delivery
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Course Delivery
This course is available in the following formats:
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Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopIn this course, you learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse. Through a combination of lectures, demos, and labs, you learn about BigQuery architecture and how to design optimal storage and schemas for data ingestion and changes. Next, you learn techniques to improve read performance, optimize queries, manage workloads, and use logging and monitoring tools. You also learn about the different pricing models. Finally, you learn various methods to secure data, automate workloads, and build machine learning models with BigQuery ML.
Course Schedule
TopTarget Audience
TopData analysts, data scientists, data engineers, and developers who perform work on a scale that requires advanced BigQuery internals knowledge to optimize performance.
Course Objectives
Top- Describe BigQuery architecture fundamentals.
- Implement storage and schema design patterns to improve performance
- Use DML and schedule data transfers to ingest data.
- Apply best practices to improve read efficiency and optimize query performance.
- Manage capacity and automate workloads.
- Understand patterns versus anti-patterns to optimize queries and improve read performance.
- Use logging and monitoring tools to understand and optimize usage patterns.
- Apply security best practices to govern data and resources.
- Build and deploy several categories of machine learning models with BigQuery ML.
Course Content
Top- BigQuery Architecture Fundamentals
- Storage and Schema Optimizations
- Ingesting Data
- Changing Data
- Improving Read Performance
- Optimizing and Troubleshooting Queries
- Workload Management and Pricing
- Logging and Monitoring
- Security in BigQuery
- Automating Workloads
- Machine Learning in BigQuery
Course Prerequisites
Top- Big Data and Machine Learning Fundamentals
