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BigQuery Fundamentals for Oracle Professionals

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Oracle, you also learn about similarities and differences between Oracle and BigQuery to help you get started with data warehouses in BigQuery.

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Syllabus

Module 1: BigQuery Architecture and Resource Provisioning

This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Oracle, this module also provides a high-level overview of the similarities and differences between Oracle and BigQuery architecture and resource provisioning to help you get started with BigQuery.

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Teaches professionals how to transition from Oracle SQL-based cloud data warehouses to Google BigQuery

Suitable for professionals seeking to upskill in BigQuery, a tool commonly used for data analytics in the cloud

Taught by Google Cloud Training, renowned for its expertise in Google Cloud products

Addresses common challenges faced by professionals transitioning from Oracle to Google BigQuery

Provides hands-on labs and interactive content to reinforce learning

Enhances understanding of BigQuery's architecture and resource provisioning, data definition model, and IAM

Covers best practices for ingesting data into BigQuery, optimizing schema design, and writing efficient SQL queries

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Reviews summary

Bigquery bridge for oracle users

According to learners, this course serves as a highly effective bridge for Oracle professionals transitioning to BigQuery. It offers a solid fundamental understanding by clearly detailing the architectural and operational differences between Oracle and BigQuery, making it particularly beneficial for those new to BigQuery but with a strong SQL background. Students frequently praised the well-structured content and practical, hands-on labs and examples. However, a few reviewers noted that the course is quite introductory and may be too basic for professionals already familiar with BigQuery or those seeking advanced topics like in-depth query optimization.

Features hands-on labs and practical examples for learning.

"The good labs in the course really helped solidify my understanding."

"I found it a practical course, very easy to follow."

"The practical examples provided were very helpful for my learning."

Provides a strong introduction to BigQuery fundamentals.

"Perfect for beginners in BigQuery but experienced in Oracle."

"This course was good for an Oracle DBA like me, just getting started with BigQuery."

"I found it provided good coverage of BigQuery fundamentals in an easy to follow way."

Effectively transitions Oracle professionals to BigQuery concepts.

"Clear explanation of differences between Oracle and BigQuery."

"Excellent course for professionals with Oracle background to understand key differences."

"Helped me bridge my Oracle knowledge to BigQuery successfully."

"I found it a great course that helps you understand the fundamental differences between Oracle and BigQuery."

May be too basic for professionals already familiar with BigQuery.

"This course is not for professionals with long experience in BigQuery, as it's too basic."

"I didn't learn anything new and found it too introductory for my level."

"It's a good introduction but not enough for an Oracle professional like me seeking more advanced topics."

"I felt it could use more in-depth coverage, especially on query optimization."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in BigQuery Fundamentals for Oracle Professionals with these activities:

Read 'BigQuery: The Definitive Guide' by Valliappa Lakshmanan

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Gain a comprehensive understanding of BigQuery's architecture, features, and best practices by reading this authoritative guide.

View Data Science on the Google Cloud Platform on Amazon

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Practice SQL queries in BigQuery UI

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Practice writing and optimizing SQL queries in the BigQuery UI to strengthen your understanding of SQL syntax and query optimization techniques.

Browse courses on Advanced SQL

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Open the BigQuery UI and create a new dataset.
Upload a sample dataset to your new dataset.
Write a simple SQL query to retrieve data from the sample dataset.
Optimize your query using techniques such as filtering, sorting, and aggregation.
Test your optimized query and analyze the results.

Develop a data model for a real-world use case

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Apply your understanding of BigQuery's schema design and data modeling capabilities by creating a data model for a real-world use case, such as analyzing customer data or tracking website traffic.

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Identify a real-world use case that requires data analysis and modeling.
Gather and analyze data relevant to the use case.
Design a star schema or snowflake schema to model the data.
Create the data model in BigQuery.
Test and validate the data model by writing queries and analyzing the results.

One other activity

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Build a data pipeline using BigQuery and other tools

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Showcase your skills by building a complete data pipeline that involves extracting, transforming, and loading data into BigQuery using tools like Cloud Dataflow or Cloud Composer.

Browse courses on Cloud Dataflow

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Design the data pipeline architecture.
Set up the necessary infrastructure and tools.
Develop the data extraction, transformation, and loading logic.
Deploy and test the data pipeline.
Monitor and maintain the data pipeline.

Career center

Learners who complete BigQuery Fundamentals for Oracle Professionals will develop knowledge and skills that may be useful to these careers:

Big Data Architect

Big Data Architects design and implement data management solutions for organizations that need to handle large and complex datasets. This course can help Big Data Architects build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Big Data Architects design and implement more efficient and effective data management solutions.

See salaries and explore the career path for Big Data Architect

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns that can help businesses make better decisions. This course can help Data Analysts build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Data Analysts work with data more efficiently and effectively, which can lead to more accurate and timely insights.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design, build, and maintain data pipelines that move data from various sources into a data warehouse. This course can help Data Engineers build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Data Engineers work with data more efficiently and effectively, which can lead to more reliable and scalable data pipelines.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use scientific methods and statistical techniques to extract knowledge and insights from data. This course can help Data Scientists build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Data Scientists work with data more efficiently and effectively, which can lead to more accurate and robust models.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning models for a variety of applications. This course can help Machine Learning Engineers build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Machine Learning Engineers work with data more efficiently and effectively, which can lead to more accurate and robust models.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions for investment decisions. This course can help Quantitative Analysts build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Quantitative Analysts work with data more efficiently and effectively, which can lead to more accurate and profitable investment decisions.

See salaries and explore the career path for Quantitative Analyst

Systems Analyst

Systems Analysts design and implement computer systems and applications. This course can help Systems Analysts build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Systems Analysts design and implement more efficient and effective data management solutions for their organizations.

See salaries and explore the career path for Systems Analyst

Database Administrator

Database Administrators design, implement, and maintain databases. This course can help Database Administrators build a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Database Administrators work with data more efficiently and effectively, which can lead to more reliable and scalable databases.

See salaries and explore the career path for Database Administrator

Product Manager

Product Managers design and manage the development of products and services. This course may be useful in providing a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Product Managers make better decisions about product development and marketing by providing them with insights into customer behavior and usage patterns.

See salaries and explore the career path for Product Manager

Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful in providing a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Software Engineers build more efficient and effective data-driven applications.

See salaries and explore the career path for Software Engineer

Technical Architect

Technical Architects design and implement IT solutions for organizations. This course may be useful in providing a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Technical Architects design and implement more efficient and effective data management solutions for their organizations.

See salaries and explore the career path for Technical Architect

Web Analyst

Web Analysts collect and analyze data about website traffic and usage. This course may be useful in providing a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Web Analysts work with data more efficiently and effectively, which can lead to more accurate and timely insights about website performance and user behavior.

See salaries and explore the career path for Web Analyst

Information Security Analyst

Information Security Analysts protect an organization's computer systems and networks from unauthorized access and data breaches. This course may be useful in providing a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Information Security Analysts identify and mitigate data security risks more effectively.

See salaries and explore the career path for Information Security Analyst

Enterprise Architect

Enterprise Architects design and implement IT solutions for organizations. This course may be useful in providing a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Enterprise Architects design and implement more efficient and effective data management solutions for their organizations.

See salaries and explore the career path for Enterprise Architect

Business Intelligence Analyst

Business Intelligence Analysts analyze data to identify business needs and develop solutions that improve operational efficiency and profitability. This course may be useful in providing a foundation in BigQuery, a cloud data warehouse specifically designed for analyzing large datasets. Understanding how to use BigQuery can help Business Intelligence Analysts work with data more efficiently and effectively.

See salaries and explore the career path for Business Intelligence Analyst

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in BigQuery Fundamentals for Oracle Professionals.

Oracle9i

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Comprehensive reference for Oracle database administration and development, providing background knowledge and insights into concepts and features that are similar or different in BigQuery.

SQL Server Query Tuning and Optimization

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Concise and practical guide to SQL, covering the basics and advanced topics, serving as a valuable resource for understanding the SQL dialect used in BigQuery.

SQL Server Query Tuning and Optimization

Paperback

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SQL Server Query Tuning and Optimization

Kindle Edition

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Kimball's Data Warehouse Toolkit Classics, 3 Volume...

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Classic text on data warehousing concepts and methodologies, providing insights into the underlying principles and best practices that are applicable to BigQuery implementation.

Kimball's Data Warehouse Toolkit Classics, 3 Volume...

Paperback

$$$$

Python for Data Analysis

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Introduces Python programming for data analysis, covering libraries and techniques that can be used for data preparation, exploration, and visualization in BigQuery.

Python for Data Analysis

Paperback

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Python for Data Analysis

Kindle Edition

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