Build a Data Warehouse Using BigQuery from Coursera

Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python. Through hands-on lessons and practical applications, you'll develop the fundamental skills needed to manage, query, and optimize your data in this powerful cloud-based platform.

This course is designed for data analysts, data engineers, business intelligence professionals, and anyone interested in mastering the art of building efficient data warehouses and performing advanced data queries using Google BigQuery. Learners should have a basic understanding of SQL and familiarity with data concepts.

This course aims to give learners a comprehensive understanding of Google BigQuery, empowering them to create efficient data warehouses, perform queries, and make informed data-driven decisions. Whether you're a data professional or an aspiring analyst, this course will equip you with the tools and knowledge to unlock the full potential of BigQuery for improved business performance.

What's inside

Syllabus

Build a Data Warehouse Using BigQuery

Unlock the power of Google BigQuery as you embark on a journey to understand the basic data warehouse builder and query expert. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both UI and Python. Through hands-on lessons and practical applications, you'll develop the basic skills needed to manage, query, and optimize your data in this powerful cloud-based platform.

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Teaches how to build data warehouses using BigQuery, which is standard in the industry

Provides hands-on lessons and practical applications that develop essential skills

Suitable for data analysts and engineers, empowering them in data management and querying

Taught by Caio Avelino, an expert in BigQuery

Requires basic understanding of SQL and data concepts

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 Build a Data Warehouse Using BigQuery with these activities:

Organize your course resources

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Stay organized and improve your learning experience by compiling and reviewing course materials regularly.

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Create a dedicated folder or notebook for the course
Download and save all course materials, including videos, slides, and assignments
Take notes during lectures and add them to your compilation

Review SQL fundamentals

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Ensure a solid foundation by reviewing SQL fundamentals before diving into BigQuery.

Browse courses on SQL

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Go through online tutorials or documentation
Practice writing simple SQL queries
Take an online quiz or assessment to test your understanding

Connect with experienced BigQuery practitioners

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Enhance your learning by connecting with experienced BigQuery practitioners who can provide guidance and support.

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Identify potential mentors through online forums or social media
Craft a personalized message introducing yourself and expressing your interest
Schedule a virtual meeting or coffee chat to discuss your goals

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Practice SQL queries on a real-world dataset

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Reinforce your understanding of SQL syntax and query optimization by working through guided tutorials that use a real-world dataset.

Browse courses on SQL

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Identify a relevant dataset
Find tutorials that align with your skill level
Follow the tutorials step-by-step
Experiment with different queries
Document your findings

Build a data warehouse using BigQuery UI

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Solidify your understanding of BigQuery's UI by creating a fully functional data warehouse, complete with tables, views, and dashboards.

Browse courses on Data Warehouse

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Gather and prepare your data
Create a new BigQuery dataset
Import data into your dataset
Create tables and define schemas
Create views and dashboards for data visualization

Solve BigQuery practice problems

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Enhance your problem-solving skills and deepen your understanding of BigQuery by practicing on a variety of real-world scenarios.

Browse courses on BigQuery

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Find online resources or platforms that provide BigQuery practice problems
Attempt to solve the problems independently
Review solutions and identify areas for improvement

Analyze data using advanced BigQuery queries

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Demonstrate your mastery of advanced BigQuery queries by analyzing a real-world dataset and generating actionable insights.

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Identify a business problem or research question
Gather and prepare your data
Write advanced BigQuery queries using subqueries, window functions, and aggregations
Visualize and interpret your results
Generate a report or presentation of your findings

Contribute to the BigQuery community

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Expand your expertise and make a valuable contribution by participating in the BigQuery open-source community.

Browse courses on BigQuery

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Identify areas where you can contribute, such as documentation, bug fixes, or new features
Familiarize yourself with the community guidelines and contribution process
Make meaningful contributions and engage in discussions

Career center

Learners who complete Build a Data Warehouse Using BigQuery will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses understand their customers, improve their products, and make better decisions. This course can help you develop the skills you need to become a successful Data Analyst by teaching you how to build data warehouses using BigQuery, query data using SQL, and create visualizations to communicate your findings.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts are responsible for using data to help businesses understand their customers, improve their products, and make better decisions. This course can help you develop the skills you need to become a successful Business Intelligence Analyst by teaching you how to build data warehouses using BigQuery, query data using SQL, and create visualizations to communicate your findings.

See salaries and explore the career path for Business Intelligence Analyst

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data warehouses and data pipelines. This course can help you develop the skills you need to become a successful Data Engineer by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists are responsible for using data to solve complex problems and make predictions. This course can help you develop the skills you need to become a successful Data Scientist by teaching you how to build data warehouses using BigQuery, query data using SQL, and use machine learning algorithms to make predictions.

See salaries and explore the career path for Data Scientist

Data Architect

Data Architects are responsible for designing and managing data architectures. This course can help you develop the skills you need to become a successful Data Architect by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course can help you develop the skills you need to become a successful Database Administrator by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Database Administrator

Solutions Architect

Solutions Architects are responsible for designing and implementing IT solutions for businesses. This course can help you develop the skills you need to become a successful Solutions Architect by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Solutions Architect

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. This course can help you develop the skills you need to become a successful Software Engineer by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Software Engineer

Systems Engineer

Systems Engineers are responsible for designing, installing, and maintaining computer systems. This course can help you develop the skills you need to become a successful Systems Engineer by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Systems Engineer

Information Architect

Information Architects are responsible for designing and managing information systems. This course can help you develop the skills you need to become a successful Information Architect by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Information Architect

Data Governance Analyst

Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. This course can help you develop the skills you need to become a successful Data Governance Analyst by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Data Governance Analyst

Data Integration Specialist

Data Integration Specialists are responsible for integrating data from different sources into a single data warehouse. This course can help you develop the skills you need to become a successful Data Integration Specialist by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Data Integration Specialist

Data Management Specialist

Data Management Specialists are responsible for managing and maintaining data assets. This course can help you develop the skills you need to become a successful Data Management Specialist by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Data Management Specialist

Analytics Architect

Analytics Architects are responsible for designing and implementing data analytics solutions for businesses. This course can help you develop the skills you need to become a successful Analytics Architect by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Analytics Architect

Enterprise Data Architect

Enterprise Data Architects are responsible for designing and managing data architectures for large organizations. This course can help you develop the skills you need to become a successful Enterprise Data Architect by teaching you how to build data warehouses using BigQuery, create data pipelines using Apache Beam, and manage data using Google Cloud Storage.

See salaries and explore the career path for Enterprise Data Architect

Build a Data Warehouse Using BigQuery

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