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BigQuery Fundamentals for Teradata Professionals

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Teradata and want to begin working in BigQuery.

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Teradata 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 Teradata, you also learn about similarities and differences between Teradata and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled: https://www.cloudskillsboost.google/quests/147">Build and Optimize Data Warehouses with BigQuery

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What's inside

Syllabus

BigQuery Architecture and Resource Provisioning

BigQuery Data Definition Model

BigQuery and Google Cloud IAM

BigQuery Data Ingestion

BigQuery Schema Design and Optimization

SQL in BigQuery

Course Resources

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces learners to BigQuery, which is a standard for cloud data warehousing

Provides foundational knowledge of BigQuery for learners who have experience in Teradata, which makes it a good fit for those transitioning from Teradata to BigQuery

Taught by Google Cloud, a recognized authority in the field of data warehousing

Offers hands-on labs and interactive materials, which can enhance the learning experience

Builds a solid foundation in data warehousing with BigQuery, strengthening existing knowledge for intermediate learners

Covers similarities and differences between Teradata and BigQuery, aiding in transitioning from Teradata to BigQuery

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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:

Explore BigQuery's documentation

Show steps

Familiarize yourself with the BigQuery platform and its key concepts before starting the course.

Browse courses on Cloud Data Warehouses

Show steps

Read the BigQuery documentation for beginners
Follow a guided tutorial on using BigQuery

Review Teradata SQL

Show steps

Reinforce knowledge of SQL as used in Teradata to better prepare for this course's instruction on BigQuery SQL.

Browse courses on SQL

Show steps

Review documentation and examples of Teradata SQL syntax
Practice writing SQL queries in Teradata
Create a small data warehouse in Teradata and practice querying it

Practice writing BigQuery SQL queries

Show steps

Develop proficiency in writing SQL queries specifically for BigQuery, which is essential for effective data analysis.

Show steps

Use the BigQuery console or a query tool to practice writing queries
Solve SQL puzzles and challenges specific to BigQuery
Create a small dataset in BigQuery and practice querying it

One other activity

Expand to see all activities and additional details

Show all four activities

Build a simple data warehouse in BigQuery

Show steps

Apply your understanding of BigQuery by creating a small-scale data warehouse, providing hands-on experience with the platform.

Browse courses on Data Warehouses

Show steps

Design a simple data schema for your data warehouse
Ingest data into BigQuery
Create tables, views, and other data structures in BigQuery
Query and analyze the data in your data warehouse

Career center

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

Data Warehouse Engineer

Data Warehouse Engineers design and build data warehouses. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to design and build data warehouses, manage data access and security, and optimize query performance, you'll be able to contribute to the development and maintenance of robust data warehouses within your organization.

See salaries and explore the career path for Data Warehouse Engineer

Database Administrator

Database Administrators are responsible for the performance, security, and availability of databases. They ensure that data is stored, managed, and backed up effectively. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse. By learning how to provision resources, create and share data assets, ingest data, and optimize query performance, you'll be able to contribute to the management and administration of data infrastructure within your organization.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. They ensure that data is accessible, reliable, and secure. This course covers essential concepts for Data Engineers, including BigQuery architecture and resource provisioning, data ingestion, and schema design and optimization. By gaining a solid understanding of these topics, you'll be able to contribute to the development and maintenance of robust data infrastructure within your organization.

See salaries and explore the career path for Data Engineer

Data Integration Engineer

Data Integration Engineers design and build data pipelines that integrate data from multiple sources. They ensure that data is consistent, accurate, and timely. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to ingest data from multiple sources, transform and cleanse data, and optimize query performance, you'll be able to design and build robust data integration pipelines.

See salaries and explore the career path for Data Integration Engineer

Data Analyst

Data Analysts play a key role in translating raw data into actionable insights for decision-making. With the rise of big data, Data Analysts are in high demand across various industries. This course provides a solid foundation in BigQuery, a powerful cloud-based data warehouse from Google. By learning how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery, you'll be well-equipped to contribute to data-driven decision-making in your organization.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends, patterns, and insights that inform business decisions. They work closely with stakeholders to understand their needs and develop data-driven solutions. This course provides a strong foundation in BigQuery, a powerful tool for data exploration and analysis. By learning how to create and share data assets, ingest data, and optimize query performance, you'll be able to effectively extract insights from large datasets and communicate them to stakeholders.

See salaries and explore the career path for Business Intelligence Analyst

Data Architect

Data Architects design and manage data architectures. They ensure that data is organized, reliable, and accessible to meet the needs of the organization. This course provides a solid foundation in BigQuery, a scalable and cost-effective data warehouse. By learning how to create and share data assets, ingest data, and optimize query performance, you'll be able to contribute to the design and management of data architectures within your organization.

See salaries and explore the career path for Data Architect

Big Data Engineer

Big Data Engineers design and build systems for managing and processing large datasets. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to design and build robust Big Data solutions effectively.

See salaries and explore the career path for Big Data Engineer

Cloud Architect

Cloud Architects design and manage cloud computing solutions. They ensure that cloud infrastructure meets the needs of the organization. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to provision resources, create and share data assets, ingest data, and optimize query performance, you'll be able to design and manage cloud-based data solutions effectively.

See salaries and explore the career path for Cloud Architect

Data Scientist

Data Scientists use advanced statistical and machine learning techniques to extract insights from data. They develop and deploy predictive models to solve business problems. This course provides a solid foundation in BigQuery, a scalable and cost-effective platform for data science workloads. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to build and deploy machine learning models effectively.

See salaries and explore the career path for Data Scientist

Data Governance Analyst

Data Governance Analysts develop and implement policies and procedures to ensure that data is managed and used in a consistent and ethical manner. They work closely with stakeholders to understand their data needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to manage data access and security, monitor data usage, and enforce data governance policies, you'll be able to contribute to the development and implementation of data governance frameworks within your organization.

See salaries and explore the career path for Data Governance Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a scalable and cost-effective platform for data storage and analysis. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to develop data-driven applications effectively.

See salaries and explore the career path for Software Engineer

Data Visualization Analyst

Data Visualization Analysts use data to create visual representations that communicate insights and trends. They work closely with stakeholders to understand their needs and develop visualizations that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to analyze data, create visualizations, and share insights, you'll be able to effectively communicate data-driven insights to stakeholders.

See salaries and explore the career path for Data Visualization Analyst

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a scalable and cost-effective platform for data storage and analysis. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to develop and deploy machine learning models effectively.

See salaries and explore the career path for Machine Learning Engineer

Reading list

We've selected three 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 Teradata Professionals.

Data Science on the Google Cloud Platform

Save

Provides a comprehensive overview of BigQuery, including its architecture, data model, and query capabilities. It valuable resource for anyone who wants to learn more about BigQuery and how to use it effectively.

Data Science on the Google Cloud Platform:...

Paperback

Data Science on the Google Cloud Platform

Kindle Edition

$$$

Deciphering Data Architectures

Save

"BigQuery for Data Analysts" valuable resource for data analysts who want to learn more about using BigQuery for data analysis and reporting.

Deciphering Data Architectures: Choosing Between a...

Paperback

$$$

Deciphering Data Architectures

Kindle Edition

Database Systems: The Complete Book

Save

Provides a comprehensive foundation in database systems. May be helpful for attendees with limited knowledge of database concepts, offering a solid theoretical background.

Database Systems: The Complete Book

Kindle Edition

$$$

Database Systems The Complete Book

Paperback

Database Systems: The Complete Book

Hardcover

$$$$

Goal Student Access Code Card for Database Systems:...

Printed Access Code

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Time

1 hours

Level

Introductory

Via

Pluralsight

Instructor

Google Cloud

Language

English

Good to know

Introduces learners to BigQuery, which is a standard for cloud data warehousing

Provides foundational knowledge of BigQuery for learners who have experience in Teradata, which makes it a good fit for those transitioning from Teradata to BigQuery

Taught by Google Cloud, a recognized authority in the field of data warehousing

Offers hands-on labs and interactive materials, which can enhance the learning experience

Builds a solid foundation in data warehousing with BigQuery, strengthening existing knowledge for intermediate learners

Covers similarities and differences between Teradata and BigQuery, aiding in transitioning from Teradata to BigQuery

Share and help others discover this course.

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