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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to ingest new datasets into tables inside of BigQuery.
Register for this course and see more details by visiting:
OpenCourser.com/course/njr13p/ingesting
What's inside
Syllabus
Ingesting New Datasets into BigQuery
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an introduction to a new field for data analysts
Involves instructor-led demonstrations and hands-on exercises
Provides a practical foundation for students with basic data analysis skills
May require additional knowledge or experience with BigQuery
Save this course
Save Ingesting New Datasets into BigQuery to your list so you can find it easily later:
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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 Ingesting New Datasets into BigQuery with these
activities:
Organize Course Materials and Create Study Notes
Show steps
Enhance your understanding and retention of course materials by organizing your notes, assignments, and resources into a structured and accessible format.
Browse courses on
Note-Taking
Show steps
-
Review and organize the course syllabus
-
Create a system for note-taking during lectures and readings
-
Use tools or apps to digitize and store your notes
Participate in Online Forum Discussions on BigQuery Data Ingestion
Show steps
Engage with other learners and industry professionals by participating in online forum discussions, sharing your experiences, and seeking support on data ingestion into BigQuery.
Show steps
-
Join relevant BigQuery forums or online communities
-
Read through existing discussions and ask questions
-
Share your knowledge and help other community members
Review BigQuery Documentation on Data Ingestion
Show steps
Brush up on your knowledge of BigQuery's data ingestion capabilities and best practices by reviewing the official documentation.
Show steps
-
Visit the BigQuery documentation page on data ingestion
-
Read through the relevant sections and make notes
-
Review specific examples and code snippets
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice SQL Queries on Sample Dataset
Show steps
Enhance your understanding of SQL syntax and BigQuery's data manipulation capabilities by practicing queries on a sample dataset.
Browse courses on
SQL
Show steps
-
Load the sample dataset into your BigQuery project
-
Write and execute simple SQL queries to retrieve data
-
Use filter, group by, and aggregation functions to transform data
Follow Official Ingest New Datasets Tutorial
Show steps
Follow the step-by-step tutorial provided by Google Cloud to gain a structured understanding of the process of ingesting new datasets into BigQuery.
Show steps
-
Visit the official Ingest New Datasets tutorial page
-
Read through the tutorial instructions
-
Follow the steps to ingest a dataset using Cloud Storage
Write a Blog Post on Best Practices for BigQuery Data Ingestion
Show steps
Share your knowledge and reinforce your understanding by writing a blog post that outlines best practices and tips for efficient and effective data ingestion into BigQuery.
Browse courses on
Data Management
Show steps
-
Research and gather information on BigQuery data ingestion best practices
-
Organize your content into a logical and easy-to-follow structure
-
Write the blog post, providing clear and concise explanations
Create a Data Ingestion Plan for a Real-World Dataset
Show steps
Develop a comprehensive plan for ingesting a real-world dataset into BigQuery, considering factors such as data source, format, and data quality.
Browse courses on
Data Governance
Show steps
-
Identify the real-world dataset you want to ingest
-
Research and document the data source, format, and schema
-
Design a data ingestion pipeline that meets your requirements
-
Implement the data ingestion pipeline and monitor its performance
Participate in a BigQuery Data Ingestion Challenge
Show steps
Put your skills to the test and challenge yourself by participating in a BigQuery data ingestion challenge, competing against others to demonstrate your expertise.
Show steps
-
Find and register for an appropriate BigQuery data ingestion challenge
-
Study the challenge requirements and prepare your approach
-
Develop and implement your data ingestion solution
-
Submit your solution and await results
Organize Course Materials and Create Study Notes
Show steps
Enhance your understanding and retention of course materials by organizing your notes, assignments, and resources into a structured and accessible format.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Review and organize the course syllabus
- Create a system for note-taking during lectures and readings
- Use tools or apps to digitize and store your notes
Participate in Online Forum Discussions on BigQuery Data Ingestion
Show steps
Engage with other learners and industry professionals by participating in online forum discussions, sharing your experiences, and seeking support on data ingestion into BigQuery.
Show steps
Show steps
Show steps
- Join relevant BigQuery forums or online communities
- Read through existing discussions and ask questions
- Share your knowledge and help other community members
Review BigQuery Documentation on Data Ingestion
Show steps
Brush up on your knowledge of BigQuery's data ingestion capabilities and best practices by reviewing the official documentation.
Show steps
Show steps
Show steps
- Visit the BigQuery documentation page on data ingestion
- Read through the relevant sections and make notes
- Review specific examples and code snippets
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice SQL Queries on Sample Dataset
Show steps
Enhance your understanding of SQL syntax and BigQuery's data manipulation capabilities by practicing queries on a sample dataset.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Load the sample dataset into your BigQuery project
- Write and execute simple SQL queries to retrieve data
- Use filter, group by, and aggregation functions to transform data
Follow Official Ingest New Datasets Tutorial
Show steps
Follow the step-by-step tutorial provided by Google Cloud to gain a structured understanding of the process of ingesting new datasets into BigQuery.
Show steps
Show steps
Show steps
- Visit the official Ingest New Datasets tutorial page
- Read through the tutorial instructions
- Follow the steps to ingest a dataset using Cloud Storage
Write a Blog Post on Best Practices for BigQuery Data Ingestion
Show steps
Share your knowledge and reinforce your understanding by writing a blog post that outlines best practices and tips for efficient and effective data ingestion into BigQuery.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Research and gather information on BigQuery data ingestion best practices
- Organize your content into a logical and easy-to-follow structure
- Write the blog post, providing clear and concise explanations
Create a Data Ingestion Plan for a Real-World Dataset
Show steps
Develop a comprehensive plan for ingesting a real-world dataset into BigQuery, considering factors such as data source, format, and data quality.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- Identify the real-world dataset you want to ingest
- Research and document the data source, format, and schema
- Design a data ingestion pipeline that meets your requirements
- Implement the data ingestion pipeline and monitor its performance
Participate in a BigQuery Data Ingestion Challenge
Show steps
Put your skills to the test and challenge yourself by participating in a BigQuery data ingestion challenge, competing against others to demonstrate your expertise.
Show steps
Show steps
Show steps
- Find and register for an appropriate BigQuery data ingestion challenge
- Study the challenge requirements and prepare your approach
- Develop and implement your data ingestion solution
- Submit your solution and await results
Career center
Learners who complete Ingesting New Datasets into BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that allows organizations to store, process, and analyze data. This course can help you build a foundation in BigQuery, one of the most popular cloud-based data warehousing solutions. By learning how to ingest new datasets into BigQuery, you can gain the skills needed to support data-driven decision-making in a variety of industries.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course can help you develop the skills needed to ingest and analyze data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Analyst
Data Analyst
Data Analysts use data to identify trends, solve problems, and make recommendations. This course can help you develop the skills needed to ingest and analyze data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Scientist
Data Scientist
Data Scientists use data to build models and solve problems. This course can help you develop the skills needed to ingest and analyze data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers are responsible for integrating data from different sources. This course can help you develop the skills needed to ingest and integrate data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Architect
Data Architect
Data Architects are responsible for designing and managing data systems. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Big Data Engineer
Big Data Engineer
Big Data Engineers are responsible for managing and processing large datasets. This course can help you develop the skills needed to ingest and process large datasets in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Warehouse Manager
Data Warehouse Manager
Data Warehouse Managers are responsible for managing and maintaining data warehouses. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts are responsible for ensuring that data is used in a consistent and ethical manner. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts are responsible for protecting data from unauthorized access. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Data Security Analyst
Data Security Analyst
Data Security Analysts are responsible for protecting data from security breaches. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and managing cloud-based solutions. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting data and information systems from unauthorized access. This course can help you develop the skills needed to ingest and manage data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course can help you develop the skills needed to ingest and process data in BigQuery. By understanding how to work with BigQuery, you can gain a competitive advantage in the job market and make a significant contribution to data-driven organizations.
For more career information including salaries, visit:
OpenCourser.com/course/njr13p/ingesting
Reading list
We've selected five 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
Ingesting New Datasets into BigQuery.
Provides a comprehensive overview of BigQuery, including its architecture, features, and best practices. It valuable resource for anyone looking to learn more about BigQuery and how to use it effectively.
Provides a practical guide to big data analytics. It covers a range of topics, including data collection, storage, processing, and analysis.
Provides a practical guide to data science. It covers a range of topics, including data collection, analysis, and visualization.
Provides a comprehensive overview of using Google Cloud Platform for data science. It covers topics such as data ingestion, data processing, and data analysis. It valuable resource for anyone looking to use Google Cloud Platform for data science.
Provides a practical guide to using BigQuery for developers. It covers a wide range of topics, including data ingestion, data transformation, and data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/njr13p/ingesting
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides an introduction to a new field for data analysts
Involves instructor-led demonstrations and hands-on exercises
Provides a practical foundation for students with basic data analysis skills
May require additional knowledge or experience with BigQuery
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