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Build a Data Warehouse Using BigQuery

Caio Avelino

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.

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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.

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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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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

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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected seven 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 Build a Data Warehouse Using BigQuery.
Is considered a foundational reference for designing data-intensive applications. It provides theoretical background as well as practical advice based on the author's experience.
Offers a unique perspective on SQL, focusing on its art and philosophy. It covers advanced techniques and query optimization strategies that can be valuable for experienced SQL users.
While this book focuses on using MapReduce for text processing, it provides valuable insights into distributed data processing and can be beneficial for learners interested in BigQuery's scalability and data processing capabilities.
Introduces the fundamentals of Python programming, with a focus on data analysis and manipulation. It includes practical examples and code snippets that can be applied to BigQuery tasks.
Offers a concise and accessible introduction to deep learning concepts and techniques. It is suitable for learners who want to gain a fundamental understanding of deep learning and its applications in various domains.
Provides a comprehensive introduction to data visualization using Python and JavaScript. It covers a wide range of techniques and tools for creating interactive and visually appealing data visualizations.
This accessible introduction to data analytics covers the basic concepts and techniques in a clear and concise manner. It is suitable for beginners who want to understand the fundamentals.

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