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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
Register for this course and see more details by visiting:
OpenCourser.com/course/6amge5/exploring
What's inside
Syllabus
Exploring Dataset Metadata Between Projects with Data Catalog
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a self-paced, hands-on learning environment in the Google Cloud console
Helps learners explore existing datasets and gain insights from table and column metadata
Suitable for individuals seeking to develop their data exploration and analysis skills
Taught by Google Cloud Training, which provides industry-recognized expertise in cloud computing
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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 Exploring Dataset Metadata Between Projects with Data Catalog with these
activities:
Review Exploring Data Catalog Course Description and Outline
Show steps
Reviewing the course description ensures you have a clear understanding of the course goals and what to expect.
Browse courses on
Data Catalog
Show steps
-
Read course description
-
Identify key concepts
-
Preview syllabus
Follow Guided Tutorial on Data Catalog Features
Show steps
Completing guided tutorials provides step-by-step guidance on specific Data Catalog features.
Browse courses on
Data Catalog
Show steps
-
Select a tutorial
-
Follow instructions
-
Practice using the feature
Explore Sample Dataset in Data Catalog
Show steps
Getting hands-on experience with Data Catalog will help you apply the concepts you learn in the course.
Browse courses on
Data Catalog
Show steps
-
Select a sample dataset
-
View dataset metadata
-
Identify data types and formats
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in a Data Catalog Study Group
Show steps
Study groups provide a collaborative environment to discuss topics, ask questions, and support each other's learning.
Browse courses on
Data Catalog
Show steps
-
Find or form a study group
-
Meet regularly to discuss topics
-
Work on projects together
Mentor a New Data Catalog User
Show steps
Mentoring others not only benefits the mentee but also reinforces your understanding of Data Catalog.
Browse courses on
Data Catalog
Show steps
-
Identify a mentee
-
Provide guidance and support
-
Review and answer questions
Complete Practice Exercises on Data Catalog Metadata Extraction
Show steps
Practice exercises help you develop proficiency in extracting and analyzing metadata from Data Catalog.
Browse courses on
Data Catalog
Show steps
-
Find practice exercises or sample problems
-
Attempt to solve the problems
-
Review solutions and identify areas for improvement
Create a Data Catalog Entry for a New Dataset
Show steps
Creating a Data Catalog entry allows you to practice using Data Catalog in a practical setting.
Browse courses on
Data Catalog
Show steps
-
Gather dataset details
-
Create new entry in Data Catalog
-
Add metadata and tags
-
Publish entry
Create a Blog Post on Data Catalog Benefits
Show steps
Writing a blog post allows you to synthesize your learnings and share your understanding of Data Catalog.
Browse courses on
Data Catalog
Show steps
-
Identify benefits of Data Catalog
-
Research and gather information
-
Write and format blog post
-
Publish blog post
Review Exploring Data Catalog Course Description and Outline
Show steps
Reviewing the course description ensures you have a clear understanding of the course goals and what to expect.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Read course description
- Identify key concepts
- Preview syllabus
Follow Guided Tutorial on Data Catalog Features
Show steps
Completing guided tutorials provides step-by-step guidance on specific Data Catalog features.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Select a tutorial
- Follow instructions
- Practice using the feature
Explore Sample Dataset in Data Catalog
Show steps
Getting hands-on experience with Data Catalog will help you apply the concepts you learn in the course.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Select a sample dataset
- View dataset metadata
- Identify data types and formats
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in a Data Catalog Study Group
Show steps
Study groups provide a collaborative environment to discuss topics, ask questions, and support each other's learning.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Find or form a study group
- Meet regularly to discuss topics
- Work on projects together
Mentor a New Data Catalog User
Show steps
Mentoring others not only benefits the mentee but also reinforces your understanding of Data Catalog.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Identify a mentee
- Provide guidance and support
- Review and answer questions
Complete Practice Exercises on Data Catalog Metadata Extraction
Show steps
Practice exercises help you develop proficiency in extracting and analyzing metadata from Data Catalog.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Find practice exercises or sample problems
- Attempt to solve the problems
- Review solutions and identify areas for improvement
Create a Data Catalog Entry for a New Dataset
Show steps
Creating a Data Catalog entry allows you to practice using Data Catalog in a practical setting.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Gather dataset details
- Create new entry in Data Catalog
- Add metadata and tags
- Publish entry
Create a Blog Post on Data Catalog Benefits
Show steps
Writing a blog post allows you to synthesize your learnings and share your understanding of Data Catalog.
Browse courses on
Data Catalog
Show steps
Show steps
Show steps
- Identify benefits of Data Catalog
- Research and gather information
- Write and format blog post
- Publish blog post
Career center
Learners who complete Exploring Dataset Metadata Between Projects with Data Catalog will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design and manage big data systems, ensuring data is processed, stored, and analyzed efficiently. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can help Data Engineers gain valuable experience working with and exploring metadata, a critical aspect of data management. By understanding the structure and relationships of data, Data Engineers can optimize data pipelines, identify data quality issues, and support data-driven decision-making.
Data Architect
Data Architect
Data Architects design and implement data management solutions that support an organization's data needs. This course, Exploring Dataset Metadata Between Projects with Data Catalog, is highly relevant to Data Architects as it provides hands-on experience in exploring and understanding data metadata. By gaining a deeper understanding of data lineage, relationships, and usage patterns, Data Architects can design data-driven architectures that meet the organization's strategic objectives.
Data Scientist
Data Scientist
Data Scientists use data to solve complex problems and make informed decisions. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can be beneficial for Data Scientists as it helps them understand the context, structure, and relationships of data. By leveraging metadata, Data Scientists can improve the accuracy and efficiency of their data analysis, modeling, and machine learning projects.
Data Catalog Manager
Data Catalog Manager
Data Catalog Managers are responsible for managing and maintaining data catalogs, which provide a central repository for data metadata. This course, Exploring Dataset Metadata Between Projects with Data Catalog, is highly relevant to Data Catalog Managers as it provides hands-on experience in exploring and understanding data metadata. By gaining a deeper understanding of data lineage, relationships, and usage patterns, Data Catalog Managers can effectively organize and manage data assets, ensuring data discoverability and accessibility across the organization.
Business Analyst
Business Analyst
Business Analysts help organizations understand their data and make better decisions. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can provide Business Analysts with a solid foundation in data exploration and metadata analysis. By gaining insights into data sources, relationships, and usage patterns, Business Analysts can better understand business requirements and identify areas for improvement.
Database Administrator
Database Administrator
Database Administrators ensure the smooth running and maintenance of database systems. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can help Database Administrators gain a deeper understanding of data organization, relationships, and lineage. By leveraging metadata, Database Administrators can optimize database performance, identify data inconsistencies, and ensure data integrity.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to provide insights and make informed decisions. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can be beneficial for Data Analysts as it helps them understand the context, structure, and relationships of data. By leveraging metadata, Data Analysts can improve the accuracy and efficiency of their data analysis and reporting.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and enforce policies and procedures to ensure data quality and compliance. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can be useful for Data Governance Analysts as it provides insights into data usage patterns, relationships, and ownership. By understanding how data is used and accessed across different projects, Data Governance Analysts can identify risks, establish data lineage, and implement data governance best practices.
Information Architect
Information Architect
Information Architects design and manage information systems to meet the needs of an organization. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can be helpful for Information Architects as it provides hands-on experience in exploring and understanding data metadata. By gaining a deeper understanding of data relationships, usage patterns, and data quality, Information Architects can design information systems that are aligned with the organization's strategic objectives.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can be helpful for Statisticians as it provides hands-on experience in exploring and understanding data metadata. By gaining a deeper understanding of data sources, relationships, and usage patterns, Statisticians can improve the quality and accuracy of their statistical analysis and modeling.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can provide Machine Learning Engineers with valuable insights into data management and metadata analysis. By understanding how data is organized, related, and used, Machine Learning Engineers can build more accurate and efficient machine learning models.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design and implement data integration solutions to consolidate data from different sources. This course, Exploring Dataset Metadata Between Projects with Data Catalog, can provide Data Integration Engineers with valuable experience in understanding and working with data metadata. By gaining a deeper understanding of data lineage, relationships, and data quality, Data Integration Engineers can improve the efficiency and accuracy of data integration processes.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. While this course, Exploring Dataset Metadata Between Projects with Data Catalog, may not be directly related to the core responsibilities of a Software Engineer, it can provide valuable insights into data management and metadata analysis. By understanding how data is organized, related, and used, Software Engineers can design and implement software systems that are more efficient, reliable, and scalable.
IT Manager
IT Manager
IT Managers plan, implement, and manage an organization's IT systems. This course, Exploring Dataset Metadata Between Projects with Data Catalog, may be helpful for IT Managers as it provides insights into data management and metadata analysis. By understanding how data is organized, related, and used, IT Managers can make more informed decisions about IT infrastructure, data security, and data governance.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect an organization's data and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course, Exploring Dataset Metadata Between Projects with Data Catalog, may be useful for Information Security Analysts as it provides insights into data lineage, relationships, and usage patterns. By understanding how data flows through an organization, Information Security Analysts can identify potential security risks and vulnerabilities.
For more career information including salaries, visit:
OpenCourser.com/course/6amge5/exploring
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
Exploring Dataset Metadata Between Projects with Data Catalog.
Provides a comprehensive overview of SQL queries, including their syntax and semantics. It valuable resource for anyone looking to understand the fundamentals of SQL queries.
Provides a comprehensive overview of database systems, including their design, implementation, and use. It valuable resource for anyone looking to understand the fundamentals of database systems.
Save
Provides a comprehensive overview of data mining, including its techniques and applications. It valuable resource for anyone looking to understand the fundamentals of data mining.
Save
Provides a comprehensive overview of machine learning, including its algorithms and applications. It valuable resource for anyone looking to understand the fundamentals of machine learning.
Save
Provides a comprehensive overview of deep learning, including its algorithms and applications. It valuable resource for anyone looking to understand the fundamentals of deep learning.
Provides a comprehensive overview of reinforcement learning, including its algorithms and applications. It valuable resource for anyone looking to understand the fundamentals of reinforcement learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6amge5/exploring
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides a self-paced, hands-on learning environment in the Google Cloud console
Helps learners explore existing datasets and gain insights from table and column metadata
Suitable for individuals seeking to develop their data exploration and analysis skills
Taught by Google Cloud Training, which provides industry-recognized expertise in cloud computing
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