Course Summary
This course will teach advanced techniques for querying data using Google Cloud's BigQuery platform. Students will learn how to optimize queries, create custom functions, and analyze large datasets to generate meaningful insights.Key Learning Points
- Learn advanced techniques for querying data using BigQuery
- Optimize queries to reduce costs and increase performance
- Create custom functions to automate data preparation and cleansing
- Analyze large datasets to generate meaningful insights
Job Positions & Salaries of people who have taken this course might have
- USA: $90,000 - $150,000
- India: ₹800,000 - ₹2,500,000
- Spain: €30,000 - €70,000
- USA: $90,000 - $150,000
- India: ₹800,000 - ₹2,500,000
- Spain: €30,000 - €70,000
- USA: $60,000 - $110,000
- India: ₹400,000 - ₹1,500,000
- Spain: €20,000 - €50,000
- USA: $90,000 - $150,000
- India: ₹800,000 - ₹2,500,000
- Spain: €30,000 - €70,000
- USA: $60,000 - $110,000
- India: ₹400,000 - ₹1,500,000
- Spain: €20,000 - €50,000
- USA: $80,000 - $130,000
- India: ₹600,000 - ₹2,000,000
- Spain: €25,000 - €60,000
Related Topics for further study
Learning Outcomes
- Optimize queries to reduce costs and increase performance
- Create custom functions to automate data preparation and cleansing
- Analyze large datasets to generate meaningful insights
Prerequisites or good to have knowledge before taking this course
- Familiarity with SQL
- Basic knowledge of data warehousing concepts
- Access to a Google Cloud Platform account
Course Difficulty Level
AdvancedCourse Format
- Self-paced
- Online
- Video lectures
Similar Courses
- Data Engineering with Google Cloud
- Data Analysis on Google Cloud Platform
- Data Warehousing for Business Intelligence
Related Education Paths
- Google Cloud Platform Fundamentals: Core Infrastructure
- Google Cloud Platform Big Data and Machine Learning Fundamentals
- Google Cloud Certified - Professional Data Engineer
Notable People in This Field
- CEO of Google
- Senior Fellow at Google
Related Books
Description
The third course in this specialization is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.
Outline
- Introduction
- Course Intro
- Qwiklabs Introduction
- Advanced Functions and Clauses
- Advanced Functions - Statistical and Approximations
- Analytic Functions, WITH clause, and RANK()
- BigQuery User-Defined Functions (UDFs)
- Sub-query and CTE design
- Lab Overview
- Advanced Functions
- Schema Design and Nested Data Structures
- Background: Traditional Relational Database Architecture
- Denormalized, Column-Based Storage
- Table Sharding
- Introducing Nested and Repeated Fields
- Working with Arrays and Structs in BigQuery
- BigQuery Standard SQL vs Legacy SQL
- Practicing SQL on Repeated Fields in BigQuery
- BigQuery Architecture
- More Visualization with Google Data Studio
- Advanced Data Studio: Case Statements and Filters
- Sharing Dashboards and Data Access Pitfalls
- Advanced Google Data Studio
- Optimizing for Performance
- Avoid BigQuery Performance Pitfalls
- Data Skew in your Datasets
- Diagnose Performance Issues with the Query Explanation map
- Lab Overview
- Performance Optimization
- Advanced Insights with Cloud AI Platform
- A primer on Notebooks in the Cloud
- Cloud Datalab
- Data Access
- Data Access Roles, Creating Authorized Views, and Common Pitfalls
- Data Access
- Summary
- Course Recap
Summary of User Reviews
Discover the advanced insights of BigQuery with GCP in this course. Gain valuable knowledge and skills to enhance your data analytics capabilities. Many users find this course to be an excellent resource for learning about BigQuery and its applications.Key Aspect Users Liked About This Course
Many users appreciate the comprehensive coverage of BigQuery and its advanced insights.Pros from User Reviews
- In-depth coverage of BigQuery
- Hands-on exercises to reinforce learning
- Easy-to-follow lectures
- Experienced and knowledgeable instructors
- Great resource for enhancing data analytics skills
Cons from User Reviews
- Some users find the course material to be too basic
- Limited interaction with instructors and peers
- Lack of real-world case studies
- Course content can be repetitive at times
- Course layout can be confusing for some users
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