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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 will learn how to build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage.
Register for this course and see more details by visiting:
OpenCourser.com/course/c7sxgt/creating
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a foundational understanding of data pipelines in Google Cloud
Uses Google Cloud's scalable infrastructure for data storage
Develops a reusable pipeline for data processing and quality checks
Hands-on labs provide practical experience with Google Cloud
Assumes learners have some familiarity with Google Cloud concepts
Self-paced learning requires strong self-motivation and time management
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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 Creating Reusable Pipelines in Cloud Data Fusion with these
activities:
Create a Course Material Compilation
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Organize and review course materials
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-
Gather all of the course materials.
-
Organize the materials into a logical structure.
Review Data Engineering Concepts
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Refresh your understanding of data engineering concepts
Browse courses on
Data Engineering
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-
Review the different stages of the data pipeline.
-
Review the different tools and technologies used in data engineering.
Review Python Programming
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Strengthen your Python skills
Browse courses on
Python
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-
Review the basics of Python syntax.
-
Practice writing Python code.
Four other activities
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Practice Guided Tutorials on Google AI Platform
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Help familiarize yourself with Google AI Platform
Browse courses on
Google AI Platform
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Identify a tutorial that covers a topic relevant to the course.
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Follow the steps in the tutorial to complete the exercises.
-
Review the concepts covered in the tutorial and apply them to your own projects.
Practice Data Cleaning Drills
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Improve your data cleaning skills
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-
Find a dataset that contains dirty data.
-
Use data cleaning techniques to clean the data.
-
Verify that the data is clean.
Read a Book on Cloud Computing
Show steps
Reviewing a book on cloud computing will help you understand the fundamentals of the technology and how it can be used to solve business problems.
View
Cloud Computing: Concepts, Technology &...
on Amazon
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-
Choose a book on cloud computing.
-
Read the book.
-
Take notes on the key concepts.
-
Discuss the book with other classmates or colleagues.
Create a Data Pipeline Project
Show steps
Gain hands-on experience building a data pipeline
Show steps
-
Design a data pipeline that meets a specific need.
-
Implement the data pipeline using Google Cloud services.
-
Test and validate the data pipeline.
Create a Course Material Compilation
Show steps
Organize and review course materials
Show steps
Show steps
Show steps
- Gather all of the course materials.
- Organize the materials into a logical structure.
Review Data Engineering Concepts
Show steps
Refresh your understanding of data engineering concepts
Browse courses on
Data Engineering
Show steps
Show steps
Show steps
- Review the different stages of the data pipeline.
- Review the different tools and technologies used in data engineering.
Review Python Programming
Show steps
Strengthen your Python skills
Browse courses on
Python
Show steps
Show steps
Show steps
- Review the basics of Python syntax.
- Practice writing Python code.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Guided Tutorials on Google AI Platform
Show steps
Help familiarize yourself with Google AI Platform
Browse courses on
Google AI Platform
Show steps
Show steps
Show steps
- Identify a tutorial that covers a topic relevant to the course.
- Follow the steps in the tutorial to complete the exercises.
- Review the concepts covered in the tutorial and apply them to your own projects.
Practice Data Cleaning Drills
Show steps
Improve your data cleaning skills
Show steps
Show steps
Show steps
- Find a dataset that contains dirty data.
- Use data cleaning techniques to clean the data.
- Verify that the data is clean.
Read a Book on Cloud Computing
Show steps
Reviewing a book on cloud computing will help you understand the fundamentals of the technology and how it can be used to solve business problems.
View
Cloud Computing: Concepts, Technology &...
on Amazon
Show steps
Show steps
Show steps
- Choose a book on cloud computing.
- Read the book.
- Take notes on the key concepts.
- Discuss the book with other classmates or colleagues.
Create a Data Pipeline Project
Show steps
Gain hands-on experience building a data pipeline
Show steps
Show steps
Show steps
- Design a data pipeline that meets a specific need.
- Implement the data pipeline using Google Cloud services.
- Test and validate the data pipeline.
Career center
Learners who complete Creating Reusable Pipelines in Cloud Data Fusion will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design architectures and implement data pipelines for collecting, storing, cleaning, and securing data assets. The course will teach you the fundamentals of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This hands-on experience will give you a valuable foundation for a successful career as a Data Engineer.
Data Analyst
Data Analyst
Data Analysts clean, process, and model data to derive insights and support decision-making. The course will teach you the basics of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This knowledge will be essential for a successful career as a Data Analyst, enabling you to effectively manage and analyze large datasets.
Data Scientist
Data Scientist
Data Scientists develop, evaluate, and implement predictive models and algorithms to extract knowledge from data. The course will teach you the fundamentals of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This hands-on experience will give you a strong foundation for a successful career as a Data Scientist.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud infrastructure and services. The course will teach you the basics of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This knowledge will be beneficial for a Cloud Architect, enabling them to design and implement scalable and reliable data pipelines in the cloud.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The course will teach you the fundamentals of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This hands-on experience will give you a strong foundation for a successful career as a Software Engineer, enabling you to develop and implement data-driven applications.
Business Analyst
Business Analyst
Business Analysts gather and analyze business requirements to develop solutions that meet organizational needs. The course will teach you the basics of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This knowledge will be valuable for a Business Analyst, enabling them to effectively analyze data and make informed recommendations for business improvements.
Database Administrator
Database Administrator
Database Administrators manage and maintain database systems to ensure data integrity and performance. The course will teach you the basics of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This knowledge will be beneficial for a Database Administrator, enabling them to design and implement scalable and reliable data pipelines for data storage and management.
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists design and implement solutions for integrating data from multiple sources into a single, cohesive system. The course will teach you the fundamentals of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This hands-on experience will give you a strong foundation for a successful career as a Data Integration Specialist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models and algorithms to solve business problems. The course will teach you the basics of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This knowledge will be valuable for a Machine Learning Engineer, enabling them to effectively manage and analyze data for machine learning model development and deployment.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses to store and manage large volumes of data. The course will teach you the fundamentals of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This hands-on experience will give you a strong foundation for a successful career as a Data Warehouse Engineer.
ETL Developer
ETL Developer
ETL Developers design, build, and maintain extract, transform, and load (ETL) processes to move data from source systems to target systems. The course will teach you the fundamentals of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This hands-on experience will give you a strong foundation for a successful career as an ETL Developer.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the quality and integrity of data. The course will teach you the basics of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This knowledge will be valuable for a Data Governance Analyst, enabling them to effectively assess and manage data quality and compliance.
Data Quality Analyst
Data Quality Analyst
Data Quality Analysts analyze data to identify and correct errors and inconsistencies. The course will teach you the basics of data pipelines and help you build a reusable pipeline that reads data from Cloud Storage, performs data quality checks, and writes to Cloud Storage. This hands-on experience will give you a strong foundation for a successful career as a Data Quality Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/c7sxgt/creating
Reading list
We've selected nine 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
Creating Reusable Pipelines in Cloud Data Fusion.
Save
Provides a comprehensive guide to building data pipelines with Spark. It covers everything from the basics of Spark to advanced topics such as streaming and machine learning.
Provides a comprehensive guide to building data pipelines with Hadoop. It covers everything from the basics of Hadoop to advanced topics such as YARN and MapReduce.
Save
Provides a comprehensive guide to building data pipelines with Pig. It covers everything from the basics of Pig to advanced topics such as UDFs and UDAFs.
Provides a practical guide to building data pipelines with Apache Kafka. It covers everything from installation to deployment, and it includes a number of case studies and examples.
Provides a practical guide to building data pipelines with Presto. It covers everything from installation to deployment, and it includes a number of case studies and examples.
Save
Provides a practical guide to building data pipelines with Hive. It covers everything from installation to deployment, and it includes a number of case studies and examples.
Provides guidance on designing data pipelines that are scalable, reliable, and efficient.
Save
Provides a deep dive into the principles of data-intensive application design. It covers topics such as data modeling, data storage, data processing, and data analytics.
Save
Provides a comprehensive guide to building data pipelines in R. It covers all aspects of data pipelines, from data ingestion and transformation to data storage and analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c7sxgt/creating
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Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
Builds a foundational understanding of data pipelines in Google Cloud
Uses Google Cloud's scalable infrastructure for data storage
Develops a reusable pipeline for data processing and quality checks
Hands-on labs provide practical experience with Google Cloud
Assumes learners have some familiarity with Google Cloud concepts
Self-paced learning requires strong self-motivation and time management
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