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Creating New BigQuery Datasets and Visualizing Insights

Google Cloud

This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.

Read more

This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.

This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.

Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you.

After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.

This course is no longer available. Find something similar by browsing:
BigQuery Data Ingestion SQL Joins Unions Looker Studio Data Visualization

What's inside

Syllabus

Course Introduction
Storing and Exporting Data
Ingesting New Datasets into BigQuery
Joining and Merging Datasets
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Suitable for beginners or intermediate learners who need basic SQL concepts for data analytics
Covers topics relevant to industry
Instructors are highly trained and come from Google Cloud
Provides hands-on labs and interactive materials for better understanding
This course is part of a series that offers more advanced topics
May require some knowledge of SQL to fully benefit

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Reviews summary

Bigquery data ingestion & visualization

According to the course design, learners can expect to gain practical skills in managing and visualizing data within Google BigQuery. The curriculum focuses on ingesting external datasets, mastering intermediate SQL concepts like JOINs and UNIONs, and effectively using Looker Studio for data visualization. It is structured as the second part of a series, providing a clear progression path for professionals aiming to leverage BigQuery's capabilities. The course also aims to address BigQuery-specific nuances, even for those with prior SQL experience, ensuring a thorough understanding of the platform.
Serves as the second course in a structured learning series.
"This is the second course in the Data to Insights series, providing a clear learning journey."
"I understand that completing this course leads into 'Achieving Advanced Insights with BigQuery'."
"I expect the content to build upon foundational knowledge from the first course."
Deepens understanding of SQL with BigQuery-specific features.
"I appreciate that it covers intermediate SQL concepts like multi-table JOINs and UNIONs."
"It notes BigQuery specifics such as query cache and table wildcards, which will be new even with a SQL background."
"This course seems to be tailored for those who want to refine their SQL skills within the BigQuery ecosystem."
Key emphasis on visualizing insights using Looker Studio.
"I look forward to visualizing my BigQuery datasets effectively with Looker Studio."
"The course promises to show how to analyze data across multiple sources by visualizing them."
"I expect to learn the full workflow from data ingestion to visual presentation."
Designed to build practical data handling and analysis skills.
"I expect to learn how to ingest new external datasets into BigQuery and visualize them."
"I anticipate mastering intermediate SQL concepts like multi-table JOINs and UNIONs for data analysis."
"The course seems to cover BigQuery specifics such as handling query cache and table wildcards."
Assumes some foundational SQL knowledge for optimal learning.
"Even with a background in SQL, there are BigQuery specifics that may be new to me, indicating prior SQL is helpful."
"I anticipate that basic SQL understanding is necessary to follow the intermediate concepts."
"This course seems best suited for those already familiar with data manipulation basics."

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 Creating New BigQuery Datasets and Visualizing Insights with these activities:
Review core SQL concepts
Solidify your understanding of essential SQL syntax and commands before starting the course.
Browse courses on SQL
Show steps
  • Review online tutorials or articles on SQL basics.
  • Install a free SQL editor and practice writing queries.
  • Solve practice problems or coding challenges.
Attend a meetup or conference related to Big Data
Network with professionals in the field, exchange ideas, and stay up-to-date on Big Data trends.
Show steps
  • Search for Big Data meetups or conferences in your area.
  • Register and actively participate in the event.
  • Connect with other attendees and learn from their experiences.
Complete SQL practice exercises
Practice writing SQL queries to improve your understanding of data manipulation and analysis.
Browse courses on SQL
Show steps
  • Utilize the BigQuery console to run practice queries
  • Reference online tutorials and documentation for guidance
  • Create your own datasets and tables for practice
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Follow Looker Studio tutorials
Familiarize yourself with Looker Studio by following guided tutorials and experimenting with its features.
Browse courses on Looker Studio
Show steps
  • Explore the Looker Studio learning center for tutorials
  • Utilize the Looker Studio community forum for support
  • Create your own dashboards to practice data visualization
Learn about external data ingestion
Supplement your understanding of data ingestion by exploring resources and tutorials.
Show steps
  • Refer to the BigQuery documentation on data ingestion
  • Explore online courses or tutorials on data ingestion
  • Experiment with ingesting data from different sources
Create practice BigQuery datasets
Strengthen your understanding of BigQuery datasets by creating your own for practice.
Browse courses on Data Management
Show steps
  • Utilize the BigQuery console to create datasets
  • Define schemas and configure settings for your datasets
  • Upload sample data or import data from external sources
Join study groups or online forums
Engage with peers to discuss concepts and reinforce your understanding through collaborative learning.
Show steps
  • Identify relevant study groups or online forums
  • Participate in discussions and ask questions
  • Share your insights and assist other learners
Follow online tutorials on BigQuery
Get hands-on experience with BigQuery's features through guided tutorials provided by Google Cloud.
Browse courses on BigQuery
Show steps
  • Search for official Google Cloud tutorials on BigQuery.
  • Follow the tutorials step-by-step and complete the practice exercises.
  • Refer to the BigQuery documentation for further reference.
Solve practice problems on SQL JOINs and UNIONs
Strengthen your understanding of multi-table JOINs and UNIONs through practice problems.
Browse courses on SQL Joins
Show steps
  • Find online platforms or books with SQL practice questions.
  • Focus on solving problems involving JOINs and UNIONs.
  • Analyze the solutions and identify areas for improvement.
Attend a workshop on advanced SQL techniques for BigQuery
Enhance your SQL skills and learn advanced techniques specifically for BigQuery through a hands-on workshop.
Show steps
  • Search for and register for an advanced SQL workshop for BigQuery.
  • Attend the workshop and participate actively.
  • Practice the techniques learned in the workshop.
Develop a data visualization project
Apply your skills by creating a data visualization project that showcases your understanding of data analysis and presentation.
Browse courses on Dashboard Creation
Show steps
  • Identify a dataset and define your project goals
  • Design and develop your visualization using Looker Studio
  • Share your project and present your findings
Build a data visualization dashboard using Looker Studio
Practice applying the concepts of data visualization by creating an interactive dashboard in Looker Studio.
Browse courses on Looker Studio
Show steps
  • Explore the Looker Studio interface and familiarize yourself with its features.
  • Import data from BigQuery into Looker Studio.
  • Create visualizations, such as charts, tables, and maps.
  • Share and collaborate on the dashboard with others.
Build a data pipeline for data ingestion
Demonstrate your mastery by designing and implementing a data pipeline for automated data ingestion into BigQuery.
Browse courses on Data Pipeline
Show steps
  • Identify data sources and define data transformation rules
  • Utilize BigQuery's data transfer service to set up ingestion
  • Monitor and maintain your data pipeline for optimal performance
Write a blog post or article on BigQuery best practices
Consolidate your knowledge of BigQuery by sharing your insights and best practices through a written piece.
Browse courses on Data Management
Show steps
  • Research and gather information on BigQuery best practices.
  • Write a comprehensive blog post or article outlining the best practices.
  • Share your writing with others and seek feedback.
Participate in a BigQuery Hackathon
Challenge yourself and test your skills by participating in a BigQuery Hackathon.
Show steps
  • Team up and register for a BigQuery Hackathon.
  • Develop a creative and innovative solution using BigQuery.
  • Submit your project and compete against other teams.

Career center

Learners who complete Creating New BigQuery Datasets and Visualizing Insights will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. The Creating New BigQuery Datasets and Visualizing Insights course can help Data Analysts develop the skills they need to succeed in their role. The course covers topics such as ingesting new datasets into BigQuery, joining and merging datasets, and data visualization. These skills are essential for Data Analysts who want to be able to effectively analyze data and communicate their findings to stakeholders.
See salaries and explore the career path for Data Analyst
Data Scientist
A Data Scientist uses data to build predictive models and develop new insights. They work on a variety of projects, such as customer segmentation, fraud detection, and product recommendation. The Creating New BigQuery Datasets and Visualizing Insights course can help Data Scientists develop the skills they need to succeed in their role. The course covers topics such as ingesting new datasets into BigQuery, joining and merging datasets, and data visualization. These skills are essential for Data Scientists who want to be able to effectively analyze data and build predictive models.
See salaries and explore the career path for Data Scientist
Business Analyst
A Business Analyst uses data to identify and solve business problems. They work with stakeholders to understand their needs and develop solutions that meet those needs. The Creating New BigQuery Datasets and Visualizing Insights course can help Business Analysts develop the skills they need to succeed in their role. The course covers topics such as ingesting new datasets into BigQuery, joining and merging datasets, and data visualization. These skills are essential for Business Analysts who want to be able to effectively analyze data and communicate their findings to stakeholders.
See salaries and explore the career path for Business Analyst
Data Engineer
A Data Engineer designs and builds data pipelines. They work with data scientists and other stakeholders to ensure that data is available in a timely and reliable manner. The Creating New BigQuery Datasets and Visualizing Insights course can help Data Engineers develop the skills they need to succeed in their role. The course covers topics such as ingesting new datasets into BigQuery, joining and merging datasets, and data visualization. These skills are essential for Data Engineers who want to be able to effectively manage data and build data pipelines.
See salaries and explore the career path for Data Engineer
Database Administrator
A Database Administrator manages and maintains databases. They work with database users to ensure that data is available and secure. The Creating New BigQuery Datasets and Visualizing Insights course can help Database Administrators develop the skills they need to succeed in their role. The course covers topics such as ingesting new datasets into BigQuery, joining and merging datasets, and data visualization. These skills are essential for Database Administrators who want to be able to effectively manage databases and ensure that data is available and secure.
See salaries and explore the career path for Database Administrator
Statistician
A Statistician collects, analyzes, and interprets data. They work on a variety of projects, such as clinical trials, market research, and public policy. The Creating New BigQuery Datasets and Visualizing Insights course can help Statisticians develop the skills they need to succeed in their role. The course covers topics such as ingesting new datasets into BigQuery, joining and merging datasets, and data visualization. These skills are essential for Statisticians who want to be able to effectively analyze data and communicate their findings to stakeholders.
See salaries and explore the career path for Statistician
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work on a variety of projects, such as web applications, mobile applications, and enterprise software. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Software Engineers who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Software Engineer
Product Manager
A Product Manager manages the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Product Managers who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Product Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns. They work with a variety of stakeholders to ensure that marketing campaigns are effective and reach the target audience. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Marketing Managers who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Marketing Manager
Sales Manager
A Sales Manager manages a team of sales representatives. They work with sales representatives to set sales targets and develop sales strategies. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Sales Managers who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Sales Manager
Customer Success Manager
A Customer Success Manager helps customers achieve success with a company's products or services. They work with customers to identify their needs and develop solutions that meet those needs. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Customer Success Managers who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Customer Success Manager
Consultant
A Consultant provides advice and guidance to clients. They work with clients to identify their needs and develop solutions that meet those needs. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Consultants who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Consultant
Project Manager
A Project Manager manages projects from start to finish. They work with stakeholders to define project goals, develop project plans, and track project progress. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Project Managers who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Project Manager
Data Entry Clerk
A Data Entry Clerk enters data into a computer system. They work with a variety of data sources, such as spreadsheets, databases, and web forms. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Data Entry Clerks who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Data Entry Clerk
Teacher
A Teacher teaches students in a classroom setting. They work with students to develop their knowledge and skills. The Creating New BigQuery Datasets and Visualizing Insights course may be useful for Teachers who want to develop skills in data analysis and visualization.
See salaries and explore the career path for Teacher

Reading list

We've selected six 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 Creating New BigQuery Datasets and Visualizing Insights.
Cover image
Data Governance: The Definitive Guide
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A comprehensive guide to using BigQuery for data warehousing and analytics, covering data ingestion, querying, and visualization.
Data Governance: The Definitive Guide: People,...
Paperback
$$
Data Governance: The Definitive Guide: People,...
Kindle Edition
$$
Cover image
Data Visualisation
Save
A textbook on data visualization, covering topics like chart types, dashboards, and storytelling.
Data Visualisation: A Handbook for Data Driven...
Paperback
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Data Visualisation: A Handbook for Data Driven...
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$$$
Data Visualisation: A Handbook for Data Driven...
Paperback
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Data Visualisation: A Handbook for Data Driven...
Kindle Edition
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Data Visualisation: A Handbook for Data Driven...
Kindle Edition
$$$$
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Deep Learning
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A textbook on deep learning, covering topics like neural networks, convolutional neural networks, and recurrent neural networks.
Deep Learning
Paperback
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Deep Learning (Adaptive Computation and Machine...
Hardcover
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Deep Learning (Adaptive Computation and Machine...
Kindle Edition
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Data Science from Scratch
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An introduction to data science, covering topics like data cleaning, feature engineering, and modeling, with a focus on Python.
Data Science from Scratch: First Principles with...
Paperback
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Data Science from Scratch: First Principles with...
Kindle Edition
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Data Science from Scratch: First Principles with...
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Machine Learning with Spark and Python
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An introduction to machine learning, covering topics like supervised learning, unsupervised learning, and deep learning.
Machine Learning with Spark and Python: Essential...
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(中文) Spark and Python Machine Learning in Action: Core...
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Machine Learning with Spark and Python: Essential...
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Data Analytics & Visualization All-in-One For...
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An introduction to machine learning, covering topics like supervised learning, unsupervised learning, and deep learning.
Data Analytics & Visualization All-in-One For...
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Data Analytics & Visualization All-in-One For...
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Course image
Time
56 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Suitable for beginners or intermediate learners who need basic SQL concepts for data analytics
Covers topics relevant to industry
Instructors are highly trained and come from Google Cloud
Provides hands-on labs and interactive materials for better understanding
This course is part of a series that offers more advanced topics
May require some knowledge of SQL to fully benefit
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