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Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

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.

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What's inside

Syllabus

Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

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

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Activities

Coming soon We're preparing activities for Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion. These are activities you can do either before, during, or after a course.

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 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 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 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 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 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 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 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 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 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 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 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 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 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
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 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.

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.
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.
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.

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