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Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

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.

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What's inside

Syllabus

Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Data Catalog and the mining of table and column metadata for insights, which is a common practice in the data science field
Offers hands-on labs and interactive materials, which can enhance the learning experience
Taught by Google Cloud Training, a reputable provider of cloud computing training
Builds a strong foundation for beginners in exploring data in the Google Cloud console
Requires learners to have basic knowledge of MySQL, PostgreSQL, and SQLServer, which may be a barrier for those without prior experience

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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 Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors with these activities:
Review SQL basics
Reviewing SQL basics will strengthen your understanding of the fundamentals used throughout this course.
Show steps
  • Identify the different types of SQL statements
  • Practice writing basic SQL queries
Practice SQL data exploration
Solidify your SQL skills before beginning this course to maximize your success.
Browse courses on SQL
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  • Run SQL queries to explore sample datasets
  • Create tables and populate them with data
  • Use SQL to filter, sort, and aggregate data
Explore the Data Catalog documentation
Consult the Data Catalog documentation to gain a comprehensive understanding of its features.
Browse courses on Data Catalog
Show steps
  • Visit the Data Catalog documentation website
  • Review key concepts and functionalities
Three other activities
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Show all six activities
Create and manage Data Catalog entries
Creating and managing Data Catalog entries will reinforce your hands-on understanding of the tool.
Browse courses on Data Catalog
Show steps
  • Create a Data Catalog entry
  • Add metadata to your entry
  • Share and manage access to entries
Participate in peer discussions on Data Catalog
Connect with peers to discuss the course material and share your insights.
Browse courses on Data Catalog
Show steps
  • Join a study group or online forum
  • Participate in discussions and ask questions
  • Collaborate with peers on projects or assignments
Create a data visualization using Data Catalog
Demonstrate your understanding of Data Catalog by creating a visually engaging data visualization.
Browse courses on Data Visualization
Show steps
  • Choose a dataset and a visualization tool
  • Connect to the dataset using Data Catalog
  • Extract and transform the data
  • Create the visualization

Career center

Learners who complete Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors will develop knowledge and skills that may be useful to these careers:
Data Privacy Specialist
A Data Privacy Specialist is responsible for developing and implementing data privacy policies and procedures. This course may be useful for those interested in becoming a Data Privacy Specialist as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Data Architect
A Data Architect is responsible for designing and developing data architectures. This course may be useful for those interested in becoming a Data Architect as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful for those interested in becoming a Database Administrator as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Data Quality Analyst
A Data Quality Analyst is responsible for analyzing and improving data quality. This course may be useful for those interested in becoming a Data Quality Analyst as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Data Governance Specialist
A Data Governance Specialist is responsible for developing and implementing data governance policies and procedures. This course may be useful for those interested in becoming a Data Governance Specialist as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Data Integration Engineer
A Data Integration Engineer is responsible for designing and developing data integration solutions. This course may be useful for those interested in becoming a Data Integration Engineer as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines and data infrastructure. This course may be useful for those interested in becoming a Data Engineer as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Data Scientist
A Data Scientist is responsible for developing and applying statistical and machine learning models to data to uncover insights and make predictions. This course may be useful for those interested in becoming a Data Scientist as it provides hands-on experience with building and executing data connectors, which is a key part of this role.
Product Manager
A Product Manager is responsible for managing and developing products. This course may be useful for those interested in becoming a Product Manager as it provides hands-on experience with building and executing data connectors, which can help them better understand the data and analytics needs of their customers.
Sales Manager
A Sales Manager is responsible for managing and developing sales teams. This course may be useful for those interested in becoming a Sales Manager as it provides hands-on experience with building and executing data connectors, which can help them better understand and analyze sales data to improve sales performance.
Business Analyst
A Business Analyst is responsible for analyzing and interpreting business data to help organizations make informed decisions. This course may be useful for those interested in becoming a Business Analyst as it provides hands-on experience with building and executing data connectors, which can help them better understand and analyze data.
Customer Success Manager
A Customer Success Manager is responsible for managing and developing customer relationships. This course may be useful for those interested in becoming a Customer Success Manager as it provides hands-on experience with building and executing data connectors, which can help them better understand and analyze customer data to improve customer satisfaction.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help organizations make informed decisions. This course may be useful for those interested in becoming a Data Analyst as it provides hands-on experience with building and executing data connectors, which is a key skill for this role.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course may be useful for those interested in becoming a Marketing Manager as it provides hands-on experience with building and executing data connectors, which can help them better understand and analyze customer data to create more effective marketing campaigns.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software systems. This course may be useful for those interested in becoming a Software Engineer as it provides hands-on experience with building and executing data connectors, which can help them develop more robust and efficient software systems.

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 Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
Provides a comprehensive guide to dimensional modeling, which fundamental concept in data warehousing. It valuable resource for anyone looking to learn more about dimensional modeling or improve their existing data warehouse design.
Provides a comprehensive overview of data mining, including its algorithms, techniques, and applications. It valuable resource for anyone looking to learn more about data mining or use data mining techniques in their work.
Provides a comprehensive overview of statistical learning, including its algorithms, techniques, and applications. It valuable resource for anyone looking to learn more about statistical learning or use statistical learning techniques in their work.
Provides a comprehensive overview of the mathematics behind machine learning, including linear algebra, calculus, and probability theory. It valuable resource for anyone looking to learn more about the mathematical foundations of machine learning.
Provides a comprehensive overview of deep learning, including its algorithms, techniques, and applications. It valuable resource for anyone looking to learn more about deep learning or use deep learning techniques in their work.
Provides a comprehensive overview of reinforcement learning, including its algorithms, techniques, and applications. It valuable resource for anyone looking to learn more about reinforcement learning or use reinforcement learning techniques in their work.
Provides a comprehensive overview of natural language processing, including its algorithms, techniques, and applications. It valuable resource for anyone looking to learn more about natural language processing or use natural language processing techniques in their work.
Provides a comprehensive overview of computer vision, including its algorithms, techniques, and applications. It valuable resource for anyone looking to learn more about computer vision or use computer vision techniques in their work.
Provides a comprehensive overview of speech and language processing, including its algorithms, techniques, and applications. It valuable resource for anyone looking to learn more about speech and language processing or use speech and language processing techniques in their work.
Provides a comprehensive overview of database systems, including their architecture, design, and implementation. It valuable resource for anyone looking to learn more about database systems or improve their existing database system design.

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