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Getting Started with Cloud Data Fusion
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to create a Data Fusion instance and deploy a sample pipeline
Register for this course and see more details by visiting:
OpenCourser.com/course/1e95hc/getting
What's inside
Syllabus
Getting Started with Cloud Data Fusion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for individuals seeking to enhance their understanding of data integration and pipeline deployment
Provides hands-on experience with Google Cloud Data Fusion, a valuable platform for data integration
Taught by Google Cloud Training, recognized for its expertise in Google Cloud technologies
Designed for learners familiar with data integration concepts but may require prior experience with Google Cloud
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Activities
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Getting Started with Cloud Data Fusion.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Getting Started with Cloud Data Fusion will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. Data pipelines are responsible for moving data from its raw source to a data warehouse or other storage destination. The data can take many forms, both structured and unstructured. Data Engineers may also conduct data analysis to identify trends or areas for improvement. This course provides a foundation for becoming a Data Engineer by teaching you how to create and deploy data pipelines using Google Cloud Data Fusion.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. These models are used to make predictions or recommendations based on data. This course may be useful for an aspiring Machine Learning Engineer because it provides a foundation in data pipelining, which is a crucial part of the machine learning workflow.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use this information to make recommendations and improve business outcomes. This course may be useful for an aspiring Data Analyst because it provides a foundation in data pipelining, which is a crucial part of the data analysis workflow.
Database Administrator
Database Administrator
Database Administrators are responsible for the installation, configuration, and maintenance of database systems. They ensure that databases are running smoothly and efficiently. This course may be useful for an aspiring Database Administrator because it provides a foundation in data pipelining, which is a crucial part of the database administration workflow.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. They analyze this data to uncover hidden patterns, correlations, and other useful information. This course may be useful for an aspiring Data Scientist because it provides a foundation in data pipelining, which is a crucial part of the data science workflow.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify opportunities and make recommendations that can improve business performance. This course may be useful for an aspiring Business Intelligence Analyst because it provides a foundation in data pipelining, which is a crucial part of the business intelligence workflow.
Information Security Analyst
Information Security Analyst
Information Security Analysts design and implement information security policies and procedures. They ensure that data is protected from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for an aspiring Information Security Analyst because it provides a foundation in data pipelining, which is a crucial part of the information security workflow.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They use a variety of programming languages and technologies to create software applications that meet the needs of users. This course may be useful for an aspiring Software Engineer because it provides a foundation in data pipelining, which is a crucial part of the software development workflow.
Cloud Architect
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They use a variety of cloud technologies to create solutions that meet the needs of businesses. This course may be useful for an aspiring Cloud Architect because it provides a foundation in data pipelining, which is a crucial part of the cloud computing workflow.
Data Privacy Specialist
Data Privacy Specialist
Data Privacy Specialists develop and implement data privacy policies and procedures. They ensure that data is used in a compliant manner. This course may be useful for an aspiring Data Privacy Specialist because it provides a foundation in data pipelining, which is a crucial part of the data privacy workflow.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists develop and implement data governance policies and procedures. They ensure that data is used in a consistent and ethical manner. This course may be useful for an aspiring Data Governance Specialist because it provides a foundation in data pipelining, which is a crucial part of the data governance workflow.
Data Integration Architect
Data Integration Architect
Data Integration Architects design and implement data integration solutions. They use a variety of data integration technologies to create solutions that meet the needs of businesses. This course may be useful for an aspiring Data Integration Architect because it provides a foundation in data pipelining, which is a crucial part of the data integration workflow.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouse solutions. They use a variety of data warehousing technologies to create solutions that meet the needs of businesses. This course may be useful for an aspiring Data Warehouse Architect because it provides a foundation in data pipelining, which is a crucial part of the data warehousing workflow.
Data Ethics Specialist
Data Ethics Specialist
Data Ethics Specialists develop and implement data ethics policies and procedures. They ensure that data is used in an ethical manner. This course may be useful for an aspiring Data Ethics Specialist because it provides a foundation in data pipelining, which is a crucial part of the data ethics workflow.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. They use a variety of programming languages and technologies to create websites that are both visually appealing and functional. This course may be useful for an aspiring Web Developer because it provides a foundation in data pipelining, which is a crucial part of the web development workflow.
For more career information including salaries, visit:
OpenCourser.com/course/1e95hc/getting
Reading list
We've selected seven 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
Getting Started with Cloud Data Fusion.
This classic work on data warehousing provides a thorough understanding of dimensional modeling, an essential concept for designing and implementing data integration solutions.
Provides a comprehensive overview of Hadoop, a framework for distributed data processing.
Provides a comprehensive overview of Spark, a fast and general-purpose distributed computing engine.
Provides a comprehensive overview of database systems, including the principles of database design, data modeling, and query processing.
Provides a modern approach to data engineering, including best practices for data collection, data processing, and data analysis.
Provides a comprehensive guide to machine learning with Python, including best practices for data preprocessing, model training, and model evaluation.
Provides a comprehensive guide to deep learning with Python, including best practices for model design, training, and evaluation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1e95hc/getting
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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
Suitable for individuals seeking to enhance their understanding of data integration and pipeline deployment
Provides hands-on experience with Google Cloud Data Fusion, a valuable platform for data integration
Taught by Google Cloud Training, recognized for its expertise in Google Cloud technologies
Designed for learners familiar with data integration concepts but may require prior experience with Google Cloud
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