BigQuery Fundamentals for Teradata Professionals from Pluralsight

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

What's inside

Syllabus

BigQuery Architecture and Resource Provisioning

BigQuery Data Definition Model

BigQuery and Google Cloud IAM

BigQuery Data Ingestion

Traffic lights

Read about what's good

what should give you pause

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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

Reviews summary

Bigquery fundamentals: for teradata professionals

According to students, this course is a highly effective and well-structured introduction to BigQuery, specifically designed for Teradata professionals. Learners particularly appreciate how the content directly highlights the similarities and differences between BigQuery and Teradata, which makes the transition seamless. The hands-on labs are consistently praised as invaluable and practical, helping to solidify understanding of concepts like query optimization and schema design. While the course excels at laying a strong foundational understanding, some more experienced users expressed a desire for deeper dives into advanced query techniques and complex enterprise migration strategies, noting it can feel too basic for veterans.

Delivers a clear, concise, and well-structured introduction.

"The content was well-structured, easy to follow..."

"The pace was just right, and the explanations of BigQuery architecture were very clear."

"The focus on 'fundamentals' is accurate – it lays a strong foundation. It’s concise and to the point, respecting a professional's time."

Provides invaluable hands-on experience and real-world applicability.

"The hands-on labs were invaluable for getting a real feel for BigQuery, especially for query optimization."

"The practical exercises helped cement my understanding."

"The labs were very practical and directly applicable. I especially appreciated the modules on schema design and query performance."

Expertly bridges the gap for Teradata professionals.

"As a seasoned data professional coming from Teradata, this course was exactly what I needed. ...specifically highlighted the differences and similarities between BigQuery and Teradata."

"Excellent course for Teradata users! The instructor clearly understands the common hurdles Teradata professionals face when moving to BigQuery and addresses them effectively."

"Perfect for bridging the gap from Teradata to BigQuery. The course material is clear, concise, and the labs are practical. It really clarifies the architectural differences."

Some learners seek more advanced topics and complex scenarios.

"I felt some parts could go a bit deeper, especially on advanced query techniques. A few more complex lab scenarios would also be beneficial."

"I expected more practical use cases. ...could have elaborated more on specific migration strategies or complex scenarios that often arise in enterprise environments."

"As a Teradata veteran, I found parts of this course a bit too basic. It's good for absolute beginners to BigQuery, but not as much for those with extensive data warehousing experience looking for deeper insights."

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

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

Browse courses on Cloud Data Warehouses

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

Review Teradata SQL

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

Browse courses on SQL

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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

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

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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

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Build a simple data warehouse in BigQuery

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

Browse courses on Data Warehouses

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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:

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 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 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.

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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

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.

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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.

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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.

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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 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.

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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.

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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.

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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.

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BigQuery Fundamentals for Teradata Professionals

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Syllabus

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Reviews summary

Bigquery fundamentals: for teradata professionals

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