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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’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.
Register for this course and see more details by visiting:
OpenCourser.com/course/q72h0u/building
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What's inside
Syllabus
Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches a conceptually comprehensive study of Google Cloud Data Fusion
Core audience is anyone in charge of managing building transformations and managing data sets
Additional audience includes anyone who wants to learn data fundamentals
Covers techniques and practices that are applicable to many other cloud and on-prem data platforms
Provides a comprehensive set of hands-on lab opportunities that facilitate mastery
Save this course
Save Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion 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 Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion with these
activities:
Review Data Transformation Basics
Show steps
Refresh your understanding of data transformation concepts and techniques to enhance your comprehension of Wrangler directives.
Browse courses on
Data Transformation
Show steps
-
Revisit foundational data transformation principles.
-
Review ETL pipelines and their role in data transformations.
-
Explore data transformation tools and techniques.
Guided Transformation Exercises
Show steps
Reinforce your understanding of Wrangler directives through guided practice exercises, solidifying your ability to use them effectively.
Show steps
-
Follow step-by-step tutorials on Wrangler directives.
-
Practice applying directives to transform sample datasets.
-
Analyze and interpret the results of your transformations.
Attend Wrangler-Focused Workshops
Show steps
Expand your knowledge and skills by attending specialized workshops dedicated to Wrangler directives and data transformation best practices.
Show steps
-
Identify upcoming Wrangler-focused workshops.
-
Register and attend the workshops.
-
Participate actively and learn from experts.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Collaborative Transformation Workshops
Show steps
Engage with fellow learners in collaborative workshops to share knowledge, troubleshoot challenges, and refine your transformation skills.
Show steps
-
Join online or in-person workshops focused on Wrangler directives.
-
Participate in discussions and share your experiences.
-
Collaborate on transformation projects.
Guide Fellow Learners through Wrangler
Show steps
Reinforce your understanding and help others by mentoring fellow learners, offering support and guidance on Wrangler directives.
Show steps
-
Join online forums or communities related to Wrangler.
-
Identify learners seeking assistance with Wrangler directives.
-
Provide guidance, answer questions, and share your knowledge.
Develop Transformation Workflows
Show steps
Apply your skills by creating real-world transformation workflows using Wrangler directives, enhancing your ability to solve data engineering challenges.
Show steps
-
Identify a data transformation need or problem.
-
Design a transformation workflow using Wrangler directives.
-
Implement and execute the workflow on a dataset.
-
Evaluate the results and refine the workflow as needed.
Advanced Wrangler Directive Techniques
Show steps
Enhance your Wrangler proficiency by exploring advanced directive techniques, unlocking new possibilities for data transformations.
Show steps
-
Locate resources on advanced Wrangler directives.
-
Follow tutorials and examples to learn new techniques.
-
Apply these techniques to your own data transformation tasks.
Contribute to Wrangler Documentation
Show steps
Dive deeper into Wrangler directives by contributing to their official documentation, expanding your understanding and impacting the community.
Show steps
-
Review the existing Wrangler documentation.
-
Identify areas for improvement or expansion.
-
Prepare documentation updates or additions.
-
Submit your contribution to the Wrangler project.
Review Data Transformation Basics
Show steps
Refresh your understanding of data transformation concepts and techniques to enhance your comprehension of Wrangler directives.
Browse courses on
Data Transformation
Show steps
Show steps
Show steps
- Revisit foundational data transformation principles.
- Review ETL pipelines and their role in data transformations.
- Explore data transformation tools and techniques.
Guided Transformation Exercises
Show steps
Reinforce your understanding of Wrangler directives through guided practice exercises, solidifying your ability to use them effectively.
Show steps
Show steps
Show steps
- Follow step-by-step tutorials on Wrangler directives.
- Practice applying directives to transform sample datasets.
- Analyze and interpret the results of your transformations.
Attend Wrangler-Focused Workshops
Show steps
Expand your knowledge and skills by attending specialized workshops dedicated to Wrangler directives and data transformation best practices.
Show steps
Show steps
Show steps
- Identify upcoming Wrangler-focused workshops.
- Register and attend the workshops.
- Participate actively and learn from experts.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Collaborative Transformation Workshops
Show steps
Engage with fellow learners in collaborative workshops to share knowledge, troubleshoot challenges, and refine your transformation skills.
Show steps
Show steps
Show steps
- Join online or in-person workshops focused on Wrangler directives.
- Participate in discussions and share your experiences.
- Collaborate on transformation projects.
Guide Fellow Learners through Wrangler
Show steps
Reinforce your understanding and help others by mentoring fellow learners, offering support and guidance on Wrangler directives.
Show steps
Show steps
Show steps
- Join online forums or communities related to Wrangler.
- Identify learners seeking assistance with Wrangler directives.
- Provide guidance, answer questions, and share your knowledge.
Develop Transformation Workflows
Show steps
Apply your skills by creating real-world transformation workflows using Wrangler directives, enhancing your ability to solve data engineering challenges.
Show steps
Show steps
Show steps
- Identify a data transformation need or problem.
- Design a transformation workflow using Wrangler directives.
- Implement and execute the workflow on a dataset.
- Evaluate the results and refine the workflow as needed.
Advanced Wrangler Directive Techniques
Show steps
Enhance your Wrangler proficiency by exploring advanced directive techniques, unlocking new possibilities for data transformations.
Show steps
Show steps
Show steps
- Locate resources on advanced Wrangler directives.
- Follow tutorials and examples to learn new techniques.
- Apply these techniques to your own data transformation tasks.
Contribute to Wrangler Documentation
Show steps
Dive deeper into Wrangler directives by contributing to their official documentation, expanding your understanding and impacting the community.
Show steps
Show steps
Show steps
- Review the existing Wrangler documentation.
- Identify areas for improvement or expansion.
- Prepare documentation updates or additions.
- Submit your contribution to the Wrangler project.
Career center
Learners who complete Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts make sense of raw data and communicate findings to support decision-making. They translate data from various sources into a format that supports analysis by cleaning and organizing data, which may include the building of transformations. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion provides valuable insights into data transformation, which is a key component of data analytics. Data Analysts will also need to prepare data for analysis, and this course offers the tools to accomplish this preparation, such as the Wrangler plugin.
Data Engineer
Data Engineer
Data Engineers build, deploy, and maintain the infrastructure that supports data pipelines. This work may include building and preparing data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful for Data Engineers working with the Data Fusion platform.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. They may also need to build and prepare data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful when working with large or complex data sets.
Database Administrator
Database Administrator
Database Administrators provision, install, configure, and maintain databases. They may also need to perform data transformations and preparation. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion provides valuable insights into data transformation using the Wrangler plugin, which is particularly useful for managing complex data sets and ensuring data integrity.
ETL Developer
ETL Developer
ETL Developers build and maintain the processes that extract data from multiple sources, transform it to fit a data model, and load it into a data warehouse or other target system. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion provides valuable insights into data transformation using the Wrangler plugin, which is particularly useful for automating ETL processes and ensuring data integrity.
Information Architect
Information Architect
Information Architects design, build, and maintain the systems and structures that organize and manage information. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation, which is a key component of information architecture. Data transformation is necessary to ensure that data is structured and organized in a way that supports effective data management.
Business Analyst
Business Analyst
Business Analysts use data and analysis to help businesses make better decisions. They may also need to build and prepare data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which is particularly useful for Business Analysts working with large or complex data sets.
Big Data Architect
Big Data Architect
Big Data Architects design and build data architectures for organizations that handle large volumes of data. This work may include building and preparing data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which is particularly useful for Big Data Architects working with large and complex data sets.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to communicate insights and trends. They may also need to build and prepare data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful for Data Visualization Specialists working with large or complex data sets.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze data and make predictions. This work may include building and preparing data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful for Quantitative Analysts working with large or complex data sets.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists develop and implement policies and procedures to ensure the integrity, security, and availability of data. They may also need to build and prepare data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful for Data Governance Specialists ensuring the quality and consistency of data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This work may include building and preparing data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful for Software Engineers working with data-intensive applications.
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists design and implement solutions to integrate data from multiple sources into a single, cohesive data set. This work may include building and preparing data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which is particularly useful for Data Integration Specialists working with complex and disparate data sources.
Statistician
Statistician
Statisticians use mathematical and statistical techniques to analyze data and make predictions. This work may include building and preparing data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful for Statisticians working with large or complex data sets.
Marketing Analyst
Marketing Analyst
Marketing Analysts collect, analyze, and interpret data to understand customer behavior and market trends. They may also need to build and prepare data sets for analysis. The course Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion can help build a foundation in data transformation and preparation using the Wrangler plugin, which can be particularly useful for Marketing Analysts working with large or complex data sets.
For more career information including salaries, visit:
OpenCourser.com/course/q72h0u/building
Reading list
We've selected eight 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
Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion.
Provides a comprehensive overview of machine learning with Python. It valuable resource for anyone who wants to learn how to use Python for machine learning.
Provides a comprehensive overview of deep learning with Python. It valuable resource for anyone who wants to learn how to use Python for deep learning.
Provides a comprehensive overview of data science for beginners. It valuable resource for anyone who wants to learn how to use data for data science.
Provides a comprehensive overview of machine learning for beginners. It valuable resource for anyone who wants to learn how to use machine learning for data science.
Provides a comprehensive overview of data science for business. It valuable resource for anyone who wants to learn how to use data to make better business decisions.
Save
Provides a comprehensive overview of machine learning for beginners. It valuable resource for anyone who wants to learn how to build and use machine learning models.
Save
Provides a comprehensive overview of deep learning for beginners. It valuable resource for anyone who wants to learn how to build and use deep learning models.
Provides a comprehensive overview of reinforcement learning. It valuable resource for anyone who wants to learn how to build and use reinforcement learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q72h0u/building
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Effort
1 hour 30 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches a conceptually comprehensive study of Google Cloud Data Fusion
Core audience is anyone in charge of managing building transformations and managing data sets
Additional audience includes anyone who wants to learn data fundamentals
Covers techniques and practices that are applicable to many other cloud and on-prem data platforms
Provides a comprehensive set of hands-on lab opportunities that facilitate mastery
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