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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/te5q8t/data
What's inside
Syllabus
Data Catalog: Qwik Start
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
May be a good fit for those interested in mining table and column metadata
Covers key Google Cloud services like BigQuery, Dataflow, and Bigtable, which are widely used in data analytics
Focuses on a specific problem in data analytics, which can help learners develop specialized skills
Provides hands-on practice through lab exercises in the Google Cloud console, which can help learners develop practical skills
Prerequisites required, may not be suitable for beginners in the field
Save this course
Save Data Catalog: Qwik Start 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 Data Catalog: Qwik Start with these
activities:
Compile a list of data catalog resources
Show steps
Gather and organize a collection of resources related to data cataloging, including tools, articles, and best practices, to enhance your knowledge of the subject.
Browse courses on
Data Discovery
Show steps
-
Search online for resources on data cataloging
-
Explore vendor websites and documentation
-
Compile the resources into a document or spreadsheet
Review basics of databases
Show steps
Review the fundamentals of databases, including data structures, query languages, and database management systems, to strengthen your understanding of the course material.
Show steps
-
Read introductory articles or tutorials on database concepts
-
Review notes or textbooks from previous courses on databases
-
Take practice quizzes or exercises on basic database operations
Join a study group or discussion forum
Show steps
Engage with fellow learners by joining a study group or participating in online discussion forums to exchange knowledge, clarify concepts, and reinforce your understanding of the course material.
Show steps
-
Find or create a study group with other students in the course
-
Attend regular study sessions to discuss course topics
-
Participate in online forums or discussion threads
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on Data Catalog
Show steps
Complete tutorials provided by Google Cloud Platform or other reputable sources to gain hands-on experience with Data Catalog.
Browse courses on
Google Cloud Platform
Show steps
-
Identify tutorials that cover topics relevant to the course
-
Follow the instructions in the tutorials to explore Data Catalog features
-
Experiment with the concepts learned in the tutorials
Practice SQL queries
Show steps
Solve practice problems and exercises involving SQL queries to improve your proficiency in data retrieval and manipulation.
Browse courses on
SQL
Show steps
-
Find online platforms or resources that provide SQL practice problems
-
Attempt to solve the practice problems on your own
-
Review solutions and explanations to enhance your understanding
Create a data dictionary
Show steps
Build a data dictionary to document the structure, relationships, and definitions of the data used in the course, reinforcing your understanding of data organization and management.
Show steps
-
Identify the data sources and their respective fields
-
Define the data types, formats, and constraints for each field
-
Document the relationships between different data elements
-
Create a comprehensive data dictionary using a tool or spreadsheet
Volunteer in a data-related project
Show steps
Apply your knowledge and skills by volunteering in a non-profit organization or project that utilizes data for social good, providing you with practical experience and a deeper understanding of real-world data applications.
Browse courses on
Social Impact
Show steps
-
Research organizations or projects that align with your interests
-
Contact the organization to inquire about volunteer opportunities
-
Contribute your skills and knowledge to support their data-related projects
Contribute to an open-source data catalog project
Show steps
Engage in the open-source community by contributing to a project related to data cataloging, allowing you to gain practical experience, collaborate with others, and enhance your understanding of the subject.
Browse courses on
Data Governance
Show steps
-
Identify open-source data catalog projects that interest you
-
Review the project documentation and codebase
-
Contribute bug fixes, feature enhancements, or documentation improvements
Compile a list of data catalog resources
Show steps
Gather and organize a collection of resources related to data cataloging, including tools, articles, and best practices, to enhance your knowledge of the subject.
Browse courses on
Data Discovery
Show steps
Show steps
Show steps
- Search online for resources on data cataloging
- Explore vendor websites and documentation
- Compile the resources into a document or spreadsheet
Review basics of databases
Show steps
Review the fundamentals of databases, including data structures, query languages, and database management systems, to strengthen your understanding of the course material.
Show steps
Show steps
Show steps
- Read introductory articles or tutorials on database concepts
- Review notes or textbooks from previous courses on databases
- Take practice quizzes or exercises on basic database operations
Join a study group or discussion forum
Show steps
Engage with fellow learners by joining a study group or participating in online discussion forums to exchange knowledge, clarify concepts, and reinforce your understanding of the course material.
Show steps
Show steps
Show steps
- Find or create a study group with other students in the course
- Attend regular study sessions to discuss course topics
- Participate in online forums or discussion threads
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on Data Catalog
Show steps
Complete tutorials provided by Google Cloud Platform or other reputable sources to gain hands-on experience with Data Catalog.
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- Identify tutorials that cover topics relevant to the course
- Follow the instructions in the tutorials to explore Data Catalog features
- Experiment with the concepts learned in the tutorials
Practice SQL queries
Show steps
Solve practice problems and exercises involving SQL queries to improve your proficiency in data retrieval and manipulation.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online platforms or resources that provide SQL practice problems
- Attempt to solve the practice problems on your own
- Review solutions and explanations to enhance your understanding
Create a data dictionary
Show steps
Build a data dictionary to document the structure, relationships, and definitions of the data used in the course, reinforcing your understanding of data organization and management.
Show steps
Show steps
Show steps
- Identify the data sources and their respective fields
- Define the data types, formats, and constraints for each field
- Document the relationships between different data elements
- Create a comprehensive data dictionary using a tool or spreadsheet
Volunteer in a data-related project
Show steps
Apply your knowledge and skills by volunteering in a non-profit organization or project that utilizes data for social good, providing you with practical experience and a deeper understanding of real-world data applications.
Browse courses on
Social Impact
Show steps
Show steps
Show steps
- Research organizations or projects that align with your interests
- Contact the organization to inquire about volunteer opportunities
- Contribute your skills and knowledge to support their data-related projects
Contribute to an open-source data catalog project
Show steps
Engage in the open-source community by contributing to a project related to data cataloging, allowing you to gain practical experience, collaborate with others, and enhance your understanding of the subject.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- Identify open-source data catalog projects that interest you
- Review the project documentation and codebase
- Contribute bug fixes, feature enhancements, or documentation improvements
Career center
Learners who complete Data Catalog: Qwik Start will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models that can automate tasks and make predictions. They use their knowledge of machine learning and data to develop models that can solve real-world problems. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Machine Learning Engineers.
Data Visualization Engineer
Data Visualization Engineer
Data Visualization Engineers design and develop data visualizations that communicate data insights clearly and effectively. They use their knowledge of data visualization and data to develop dashboards and other data visualizations that can help users understand data and make informed decisions. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Data Visualization Engineers.
Data Catalog Administrator
Data Catalog Administrator
Data Catalog Administrators are responsible for setting up, managing, and maintaining Data Catalog. They work closely with Data Engineers and Data Analysts to ensure that data is accessible, reliable, and secure. This course may be useful for this career because it provides hands-on experience in working with Data Catalog.
Database Administrator
Database Administrator
Database Administrators are responsible for the performance, maintenance, and security of databases. They work closely with Data Engineers and Data Analysts to ensure that data is accessible, reliable, and secure. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Database Administrators.
Information Security Analyst
Information Security Analyst
Information Security Analysts study data to identify and protect against security threats. They use their knowledge of information security and data to develop strategies that can protect organizations from cyber attacks and data breaches. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Information Security Analysts.
Financial Analyst
Financial Analyst
Financial Analysts study data to make investment recommendations. They use their knowledge of finance and data to develop investment strategies that can maximize returns. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Financial Analysts.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. They use these insights to solve business problems and make predictions. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog.
Risk Analyst
Risk Analyst
Risk Analysts study data to identify and manage risks. They use their knowledge of risk management and data to develop strategies that can protect organizations from financial and operational losses. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Risk Analysts.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work closely with Data Analysts and Data Scientists to understand customer needs and develop products that meet those needs. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Product Managers.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work closely with Data Scientists and Data Analysts to ensure that data is accessible, reliable, and secure. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, which can help in understanding the structure and contents of datasets.
Compliance Analyst
Compliance Analyst
Compliance Analysts study data to ensure that organizations are complying with laws and regulations. They use their knowledge of compliance and data to develop strategies that can protect organizations from legal and financial penalties. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Compliance Analysts.
Sales Analyst
Sales Analyst
Sales Analysts study data to identify opportunities for growth. They use their knowledge of sales and data to develop strategies that can increase sales and profits. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Sales Analysts.
Marketing Analyst
Marketing Analyst
Marketing Analysts study data to understand customer behavior and develop marketing campaigns. They use their knowledge of marketing and data to develop strategies that can increase sales and profits. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Marketing Analysts.
Business Analyst
Business Analyst
Business Analysts study data to identify opportunities for improvement. They use their knowledge of business and data to develop solutions that can improve efficiency and profitability. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Business Analysts.
Data Analyst
Data Analyst
Data Analysts study datasets for business insights. They apply statistical methods and programming tools to interpret data and solve business problems. This course may be useful for this career because it helps build a foundation in data exploration and analysis with Data Catalog, a tool commonly used by Data Analysts.
For more career information including salaries, visit:
OpenCourser.com/course/te5q8t/data
Reading list
We've selected ten 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
Data Catalog: Qwik Start.
Provides a comprehensive guide to data management, including how to use data catalogs to improve data quality and governance.
Provides a comprehensive guide to data quality, including how to use data catalogs to improve data quality.
Provides a practical guide to data governance, including how to use data catalogs to improve data quality and compliance.
Save
Provides a broad overview of data management concepts and technologies, including data cataloging.
Provides a comprehensive overview of reinforcement learning concepts and technologies, including how to use data catalogs to improve data quality and interoperability.
Provides a comprehensive overview of natural language processing concepts and technologies, including how to use data catalogs to improve data quality and interoperability.
Provides a comprehensive overview of speech recognition concepts and technologies, including how to use data catalogs to improve data quality and interoperability.
Provides a comprehensive overview of data science concepts and technologies, including how to use data catalogs to improve data quality and interoperability.
Provides a broad overview of machine learning concepts and technologies, including how to use data catalogs to improve data quality and interoperability.
Save
Provides a comprehensive overview of deep learning concepts and technologies, including how to use data catalogs to improve data quality and interoperability.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/te5q8t/data
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Effort
30 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
May be a good fit for those interested in mining table and column metadata
Covers key Google Cloud services like BigQuery, Dataflow, and Bigtable, which are widely used in data analytics
Focuses on a specific problem in data analytics, which can help learners develop specialized skills
Provides hands-on practice through lab exercises in the Google Cloud console, which can help learners develop practical skills
Prerequisites required, may not be suitable for beginners in the field
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