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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to use the Wrangler and Data Pipeline features in Cloud Data Fusion to clean, transform, and process taxi trip data for further analysis.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches how to use both Wrangler and Data Pipeline to clean, transform, and process data
Takes place in the user-friendly Google Cloud console
Developed by Google Cloud Training, a reputable organization in the field

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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 Pipeline Graphs with Cloud Data Fusion with these activities:
Review proficiency in cloud applications
Prepares you with the basics of deploying applications in the cloud
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Show steps
  • Review documentation on deploying web and data applications in the cloud
  • Complete practice exercises on cloud application deployment
Follow along with Cloud Data Fusion tutorials
Provides step-by-step guidance to reinforce understanding of using Wrangler and Data Pipeline
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Show steps
  • Explore official Cloud Data Fusion documentation
  • Complete interactive tutorials on Wrangler and Data Pipeline
Data cleaning exercises
Reinforces understanding of data cleaning concepts and techniques through repeated practice
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Show steps
  • Practice identifying and fixing data quality issues
Seven other activities
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Follow tutorials to learn advanced features of Wrangler and Data Pipeline
Expand your knowledge and skills by exploring advanced features of Wrangler and Data Pipeline through guided tutorials.
Browse courses on Wrangler
Show steps
  • Find tutorials on the Google Cloud website
  • Select tutorials that align with your learning goals
  • Follow the tutorials step-by-step
Collaborative data exploration
Enhances understanding of data manipulation and analysis through peer interaction and collaboration
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Show steps
  • Form small peer groups and select a dataset
  • Brainstorm and distribute tasks
  • Collaborate on data exploration and analysis
  • Present findings to the group
Practice data cleaning and transformation using Wrangler in the Google Cloud console
Reinforce the concepts of data cleaning and transformation by practicing with real-world datasets in the Google Cloud console using Wrangler.
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Show steps
  • Load a dataset into Wrangler
  • Clean the data by removing duplicates and invalid values
  • Transform the data by creating new columns and modifying existing ones
  • Save the transformed data to a new dataset
Build a data pipeline using Data Pipeline to automate data processing
Gain practical experience in automating data processing tasks by building a data pipeline using Data Pipeline.
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Show steps
  • Design the data pipeline
  • Create the data sources and sinks
  • Configure the data transformations
  • Schedule the data pipeline
Data cleansing project
Reinforces what you've learned about data preparation by applying it to a real-world dataset
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Show steps
  • Acquire and load a dirty dataset
  • Identify and fix data quality issues
  • Transform data into a usable format
  • Analyze and interpret results
  • Document and present findings
Blog post on data wrangling best practices
Enhances knowledge retention through summarizing and articulating best practices for data wrangling
Browse courses on Data Wrangling
Show steps
  • Research and synthesize best practices for data wrangling
  • Write a clear and concise blog post outlining the practices
  • Publish and promote the blog post to share knowledge with others
Taxi trip analysis dashboard
Combines data manipulation and visualization skills to create an informative and interactive dashboard
Browse courses on Data Analysis
Show steps
  • Design the dashboard layout and metrics
  • Extract relevant data and perform analysis
  • Build visualizations and populate the dashboard
  • Test and iterate on the dashboard

Career center

Learners who complete Pipeline Graphs with Cloud Data Fusion will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer builds and maintains data pipelines that move data between different systems. This course helps build a foundation for this role by teaching you how to use Cloud Data Fusion to create and manage data pipelines.
Data Architect
A Data Architect designs data management solutions for organizations, ensuring that data is accessible, reliable, and secure. This course helps build a foundation for this role by teaching you how to use Cloud Data Fusion to clean, transform, and process data.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to make informed decisions about business operations. This course helps build a foundation for this role by teaching you how to use Cloud Data Fusion to clean, transform, and process data.
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. This course helps build a foundation for this role by teaching you how to use Cloud Data Fusion to clean, transform, and process data.
Data Scientist
A Data Scientist uses data to build models that can predict future outcomes. This course helps build a foundation for this role by teaching you how to use Cloud Data Fusion to clean, transform, and process data.
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to create and manage data pipelines that can move data into and out of databases.
Data Quality Analyst
A Data Quality Analyst ensures that data is accurate, complete, and consistent. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support data quality activities.
Customer Success Manager
A Customer Success Manager helps customers achieve success with a product or service. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support customer success activities.
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support marketing campaigns.
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support data governance activities.
Project Manager
A Project Manager plans and executes projects. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support project management activities.
Sales Manager
A Sales Manager plans and executes sales campaigns. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support sales campaigns.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build data pipelines that can be used to power software applications.
Product Manager
A Product Manager manages the development and launch of products. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support product development and launch activities.
IT Manager
An IT Manager oversees the IT infrastructure of an organization. This course may be useful for this role, as it teaches you how to use Cloud Data Fusion to build and manage data pipelines that can be used to support IT operations.

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 Pipeline Graphs with Cloud Data Fusion.
Goes in-depth into the topic of designing and managing data-intensive applications, including topics like data modeling, data processing, and data storage.
Provides a broad overview of Apache Hadoop, including the Hadoop Distributed File System (HDFS), MapReduce, and YARN. While the focus is on Hadoop, many of the concepts and tools in this book are used in other big data frameworks and tools, including Cloud Data Fusion.
Provides a foundation in relational database management systems, including data modeling, query optimization, and transaction management.
Can give learners a deeper dive into the Java programming language, which is often used in big data-related tasks, including data processing and pipeline development.

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