BigQuery Fundamentals for Teradata Professionals from Coursera

What's inside

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 Teradata, this module also provides a high-level overview of the similarities and differences between Teradata 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 Teradata, this module also provides a high-level overview of the similarities and differences between the Teradata 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 Teradata, this module also provides a high-level overview of the similarities and differences in roles and permissions between Teradata 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 Teradata, this module also provides a high-level overview of the similarities and differences in data ingestion options between Teradata 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 Teradata, this module also provides a high-level overview of the similarities and differences in schema usage and design between Teradata 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 Teradata, this module also provides a high-level overview of the similarities and differences in the SQL dialects and features between Teradata 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

Appropriate for those with some SQL proficiency but minimal experience with cloud storage

Instructors are from Google Cloud Training, ensuring up-to-date and reliable information

Provides a strong foundation for using BigQuery for Teradata users

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 Teradata Professionals with these activities:

Review SQL

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Review fundamental SQL concepts to strengthen your foundation for working with data in BigQuery.

Browse courses on SQL

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Review basic SQL syntax and commands.
Practice writing queries to select, filter, and aggregate data.
Test your understanding by solving SQL challenges.

Review Teradata Concepts

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Review fundamental Teradata concepts to enhance your understanding of the similarities and differences between Teradata and BigQuery.

Browse courses on Teradata

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Review documentation and materials on Teradata architecture and resource provisioning.
Refresh your knowledge of Teradata's data definition model and primary data types.
Explore Teradata's security and access management features.

Follow BigQuery Tutorials

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Explore BigQuery documentation and hands-on tutorials to gain practical experience with the platform.

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Locate and review official BigQuery tutorials.
Follow step-by-step instructions to complete guided exercises.
Experiment with different BigQuery features.

Three other activities

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Practice SQL Queries in BigQuery

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Execute SQL queries on sample datasets in BigQuery to reinforce your understanding of SQL syntax and query optimization techniques.

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Create a BigQuery account and dataset
Import the sample dataset
Write SQL queries to perform data analysis and manipulation
Review query results and optimize query performance

Practice SQL Queries

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Sharpen your SQL skills by solving a series of challenging queries related to BigQuery fundamentals.

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Access online SQL query practice platforms.
Attempt a variety of query challenges.
Analyze your results and identify areas for improvement.

Design and Implement a BigQuery Data Pipeline

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Develop a project that automates the ingestion, processing, and analysis of data in BigQuery to enhance your practical skills in designing and implementing data pipelines.

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Define the data sources and data format
Design the data pipeline architecture
Implement the data ingestion and processing logic
Configure the data pipeline and schedule execution
Monitor the pipeline and optimize performance

Career center

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

Cloud Data Engineer

Cloud Data Engineers design and build data pipelines in the cloud. They work with businesses to understand their data needs and to develop data pipelines that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Cloud Data Engineers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Cloud Data Engineer.

See salaries and explore the career path for Cloud Data Engineer

Data Architect

Data Architects design and manage the data architecture of an organization. They work with stakeholders to understand the data needs of the organization and to develop a data architecture that meets those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Architects. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Data Architect.

See salaries and explore the career path for Data Architect

Data Engineer

Data Engineers design, build, and maintain the systems that store and process data. They work with data scientists and other stakeholders to understand the data needs of the organization. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Engineers. The course will help you to build a foundation in the skills needed to design and manage BigQuery data warehouses.

See salaries and explore the career path for Data Engineer

Big Data Architect

Big Data Architects design and manage big data systems. They work with businesses to understand their data needs and to develop big data systems that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Big Data Architects. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Big Data Architect.

See salaries and explore the career path for Big Data Architect

Data Warehouse Architect

Data Warehouse Architects design and build data warehouses. They work with businesses to understand their data needs and to develop data warehouses that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Warehouse Architects. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Data Warehouse Architect.

See salaries and explore the career path for Data Warehouse Architect

Big Data Engineer

Big Data Engineers design and build big data pipelines. They work with businesses to understand their data needs and to develop big data pipelines that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Big Data Engineers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Big Data Engineer.

See salaries and explore the career path for Big Data Engineer

Data Scientist

Data Scientists use their skills in statistics, machine learning, and data analysis to extract insights from data. They work with businesses to identify opportunities and solve problems. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Scientists. The course's coverage of BigQuery's SQL dialect and query optimization will help you to build a foundation in the skills needed to succeed as a Data Scientist.

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Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They work with stakeholders to identify the data needs of the organization and to develop reports and dashboards that visualize data and provide insights. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Business Intelligence Analysts. The course's coverage of BigQuery architecture, data ingestion, and query optimization will help you to build a foundation in the skills needed to succeed as a Business Intelligence Analyst.

See salaries and explore the career path for Business Intelligence Analyst

Data Science Manager

Data Science Managers lead teams of data scientists. They work with stakeholders to identify the data needs of the organization and to develop a data science strategy. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Data Science Managers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Data Science Manager.

See salaries and explore the career path for Data Science Manager

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They work with businesses to identify opportunities to use machine learning to solve problems. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Machine Learning Engineers. The course's coverage of BigQuery's SQL dialect and query optimization will help you to build a foundation in the skills needed to succeed as a Machine Learning Engineer.

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Cloud Architect

Cloud Architects design and manage cloud computing solutions. They work with businesses to understand their business needs and to develop cloud solutions that meet those needs. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Cloud Architects. The course's coverage of BigQuery architecture and resource provisioning will help you to build a foundation in the skills needed to succeed as a Cloud Architect.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with businesses to identify opportunities to use software to solve problems. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Software Engineers. The course's coverage of BigQuery's SQL dialect and query optimization will help you to build a foundation in the skills needed to succeed as a Software Engineer.

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Data Analyst

Data Analysts are experts in collecting, cleaning, and analyzing data. They use their skills to identify trends and patterns, and to make recommendations based on their findings. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Data Analysts. The course's coverage of BigQuery architecture, data ingestion, and query optimization will help you to build a foundation in the skills needed to succeed as a Data Analyst.

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Database Administrator

Database Administrators are responsible for the day-to-day operation and maintenance of databases. They work with database users to ensure that the database is running smoothly and that data is secure. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Database Administrators. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Database Administrator.

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Product Manager

Product Managers lead the development of new products and features. They work with stakeholders to understand the needs of the market and to develop products that meet those needs. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Product Managers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Product Manager.

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