BigQuery Fundamentals for Oracle Professionals from Coursera

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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.

Module 2: BigQuery Data Definition Model

This module summarizes the key details of BigQuery’s resource hierarchy and data definition model, including how to create datasets and tables in BigQuery. Drawing upon your knowledge of Oracle, this module also provides a high-level overview of the similarities and differences between the Oracle and BigQuery resource hierarchies and primary data types to help you start working with data in BigQuery.

Module 3: BigQuery and Google Cloud IAM

This module summarizes the key details of the Google Cloud Identity and Access Management (IAM) model, including how roles and permissions are applied to datasets and tables in BigQuery. Drawing upon your knowledge of Oracle, this module also provides a high-level overview of the similarities and differences in roles and permissions between Oracle and BigQuery to help you start securing and sharing your data in BigQuery.

Module 4: BigQuery Data Ingestion

This module summarizes the primary options and best practices for ingesting data into BigQuery, including batch data loading, streaming ingestion, and queries to external data sources. Drawing upon your knowledge of Oracle, this module also provides a high-level overview of the similarities and differences in data ingestion options between Oracle and BigQuery to help you start reading and loading your data into BigQuery.

Module 5: BigQuery Schema Design and Optimization

This module summarizes common patterns and best practices for designing and optimizing table schemas in BigQuery, including the use of nested and repeated fields, partitioning, and clustering. Drawing upon your knowledge of Oracle, this module also provides a high-level overview of the similarities and differences in schema usage and design between Oracle and BigQuery to help you start structuring and optimizing your data in BigQuery.

Module 6: SQL in BigQuery

This module summarizes the key features and operations of the Google Standard SQL dialect used in BigQuery and best practices for optimizing query performance and controlling costs in BigQuery. Drawing upon your knowledge of Oracle, this module also provides a high-level overview of the similarities and differences in the SQL dialects and features between Oracle and BigQuery to help you start running and optimizing queries in BigQuery.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

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

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.

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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.

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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

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

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 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

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

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

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

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

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

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

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

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

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

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

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

BigQuery Fundamentals for Oracle Professionals

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