BigQuery Fundamentals for Redshift Professionals from Coursera

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Syllabus

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 Redshift, this module also provides a high-level overview of the similarities and differences between Redshift and BigQuery architecture and resource provisioning to help you get started with BigQuery.

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 Redshift, this module also provides a high-level overview of the similarities and differences between the Redshift and BigQuery resource hierarchies and primary data types to help you start working with data in BigQuery.

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 Redshift, this module also provides a high-level overview of the similarities and differences in roles and permissions between Redshift and BigQuery to help you start securing and sharing your data in BigQuery.

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 Redshift, this module also provides a high-level overview of the similarities and differences in data ingestion options between Redshift and BigQuery to help you start reading and loading your data into BigQuery.

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 Redshift, this module also provides a high-level overview of the similarities and differences in schema usage and design between Redshift and BigQuery to help you start structuring and optimizing your data in BigQuery.

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 Redshift, this module also provides a high-level overview of the similarities and differences in the SQL dialects and features between Redshift and BigQuery to help you start running and optimizing queries in BigQuery.

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Covers the basics of BigQuery for those who are familiar with SQL-based cloud data warehouses in Redshift

Teaches the basics of BigQuery, from provisioning resources to optimizing query performance

Features hands-on labs to enhance the learning experience

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 Redshift Professionals with these activities:

Organize and review course materials

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Create a comprehensive repository of course materials for easy reference and review.

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Download and organize lecture slides
Take detailed notes during live sessions
Bookmark relevant resources and articles
Create a dedicated folder or notebook for all course materials

Review SQL querying syntax

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Ensure a solid foundation in SQL querying syntax before beginning this course on BigQuery.

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Review online tutorials on SQL querying fundamentals
Practice writing basic SQL queries

Write a summary of BigQuery architecture

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Solidify your understanding of BigQuery architecture by creating a written summary of key concepts.

Browse courses on BigQuery Architecture

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Review the course module on BigQuery architecture
Identify the main components and their functions
Describe how resource provisioning works in BigQuery
Summarize the key differences between BigQuery and Redshift architecture

Four other activities

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Complete interactive BigQuery tutorials

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Gain hands-on experience with BigQuery's interface and SQL dialect through guided tutorials.

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Navigate to the BigQuery documentation page
Locate and select the 'Tutorials' section
Choose a tutorial relevant to your skill level
Follow the tutorial steps and complete the exercises

Solve BigQuery SQL practice problems

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Enhance your proficiency in BigQuery SQL by solving practice problems.

Browse courses on Query Optimization

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Find online resources or platforms that provide BigQuery SQL practice problems
Select problems that align with your skill level and learning objectives
Attempt to solve the problems on your own
Review solutions and identify areas for improvement

Read 'BigQuery: The Definitive Guide' by Valliappa Lakshmanan

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Gain a comprehensive understanding of BigQuery's capabilities and best practices by reading an authoritative book on the subject.

View Data Governance: The Definitive Guide on Amazon

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Purchase or borrow the book
Read through the chapters relevant to your learning objectives
Take notes and highlight key concepts

Develop a data analysis project

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Apply your BigQuery knowledge by designing and executing a data analysis project.

Browse courses on Data Exploration

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Identify a dataset of interest
Formulate a research question or hypothesis
Design a data analysis plan
Execute queries and analyze results
Visualize and present your findings

Career center

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

Cloud Data Engineer

Cloud Data Engineers design, build, and manage data pipelines and data warehouses in the cloud. They use a variety of cloud computing technologies, including BigQuery, Google Cloud Storage, and Google Kubernetes Engine, to build scalable and reliable data systems. This course provides a comprehensive overview of BigQuery, including its architecture, data model, and SQL dialect. This knowledge is essential for success as a Cloud Data Engineer.

See salaries and explore the career path for Cloud Data Engineer

Data Architect

Data Architects design and build the company’s data infrastructure, including data warehouses, databases, and pipelines. They ensure that the data is organized and accessible in a way that meets the needs of the business. This course provides a comprehensive overview of data warehousing, including its architecture, data model, and SQL dialect. This knowledge is essential for success as a Data Architect.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators ensure that the company’s databases are up and running, and that the data stored in them is safe and secure. They perform a variety of tasks, including installing and configuring databases, monitoring performance, and backing up data. This course covers topics such as data warehousing, data modeling, and SQL, all of which are essential skills for success as a Database Administrator.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts protect the company’s data and computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They develop and implement security policies and procedures, and they work with IT staff to ensure that the company’s systems are secure. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as an Information Security Analyst.

See salaries and explore the career path for Information Security Analyst

Risk Analyst

Risk Analysts identify, assess, and mitigate risks to the company’s business. They develop and implement risk management policies and procedures, and they work with business leaders to ensure that the company’s risks are managed effectively. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They analyze data to identify trends, patterns, and insights, and then communicate these insights to decision-makers in a clear and concise way. This course provides a foundation in data warehousing, data modeling, and SQL, all of which are essential skills for success as a Business Intelligence Analyst.

See salaries and explore the career path for Business Intelligence Analyst

Data Governance Specialist

Data Governance Specialists ensure that the company’s data is used in a consistent and ethical manner. They develop and implement data governance policies and procedures, and they work with business leaders to ensure that data is used to support the company’s goals. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Data Governance Specialist.

See salaries and explore the career path for Data Governance Specialist

Privacy Analyst

Privacy Analysts ensure that the company’s data is collected, used, and stored in a compliant manner. They develop and implement privacy policies and procedures, and they work with business leaders to ensure that the company’s data practices are in compliance with all applicable laws and regulations. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Privacy Analyst.

See salaries and explore the career path for Privacy Analyst

Compliance Analyst

Compliance Analysts ensure that the company’s business practices are in compliance with all applicable laws and regulations. They develop and implement compliance policies and procedures, and they work with business leaders to ensure that the company’s practices are in compliance. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Compliance Analyst.

See salaries and explore the career path for Compliance Analyst

Enterprise Architect

Enterprise Architects design and manage the company’s technology infrastructure, including hardware, software, and networks. They ensure that the company’s technology investments are aligned with the business goals. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as an Enterprise Architect.

See salaries and explore the career path for Enterprise Architect

Data Scientist

Data Scientists use data to solve business problems and develop new products and services. They use a variety of statistical and machine learning techniques to analyze data and extract insights. This course provides a foundation in data warehousing, data modeling, and SQL, all of which are essential skills for success as a Data Scientist.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to build software that meets the needs of users. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Software Engineer.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends, patterns, and insights that can help businesses make better decisions. They use a variety of tools and techniques to extract meaning from data, including SQL, Python, and machine learning algorithms. This course can help aspiring Data Analysts build a foundation in data warehousing, data modeling, and SQL, all of which are essential skills for success in this role.

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Technical Program Manager

Technical Program Managers lead and manage the development and deployment of software applications. They work with engineers, designers, and other stakeholders to ensure that projects are completed on time, within budget, and to the required specifications. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Technical Program Manager.

See salaries and explore the career path for Technical Program Manager

Data Engineer

Data Engineers build, deploy and manage the company’s data infrastructure, including data warehouses, databases, and pipelines. They make sure that the data is usable and accessible to the people who need it, ensuring the reliability and accuracy of the data. A course like BigQuery Fundamentals for Redshift Professionals may be useful for those striving for this role, as it can help build a foundation in data warehousing and data management.

See salaries and explore the career path for Data Engineer

BigQuery Fundamentals for Redshift Professionals

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