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Exploring Data Transformation with Google Cloud

Google Cloud

Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

This course is no longer available. Find something similar by browsing:
Data Transformation Google Cloud Data Management Big Data Cloud Technology Data Analysis

What's inside

Syllabus

Course Introduction
The Value of Data
Google Cloud Data Management Solutions
Making Data Useful and Accessible
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Designed for those who want an overview of how cloud technology can be combined with data for business value
Created by one of the world's leading cloud computing vendors

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Reviews summary

Strategic overview of google cloud data

According to learners, this course provides a largely positive and excellent high-level overview of data transformation concepts within Google Cloud. It is particularly well-suited for non-technical professionals and managers seeking a strategic understanding of GCP's data services and their business value. Students praise the clear explanations and the course's effectiveness as a foundational stepping stone for the Cloud Digital Leader path. However, a segment of learners express that the course is too superficial and lacks technical depth or hands-on labs, making it less suitable for experienced data professionals or those seeking practical implementation skills.
Best suited for beginners or professionals needing conceptual understanding, not deep technical skills.
"Excellent introduction to Google Cloud data services for non-technical roles. The instructor's explanations were clear and easy to grasp."
"As an IT manager, this course was perfect for me. It gave me the vocabulary and understanding to engage more effectively with my data engineering teams."
"If you're a beginner with no prior cloud knowledge, I think it might be a good starting point."
Provides an excellent high-level understanding of Google Cloud data services and their business value.
"This course provided a fantastic high-level overview of data transformation on Google Cloud. It's excellent for managers or those new to cloud data concepts, giving a clear picture of what's possible..."
"Perfectly pitched for the Cloud Digital Leader path. As someone in a business development role, I needed to understand how Google Cloud handles data without diving into coding syntax."
"The course excels at providing a comprehensive high-level overview of data transformation within Google Cloud... incredibly helpful for strategic planning."
Offers little value for those with prior experience in cloud or data engineering.
"This course is incredibly basic and offers no real value for anyone with even a minimal background in data or cloud."
"Completely useless for me. I'm a data engineer and was hoping for some advanced concepts... No technical detail whatsoever."
"For anyone with a technical background, it's likely too basic. I would not recommend it if you are seeking technical skills."
Limited practical examples and no hands-on labs, making it too superficial for engineers.
"While it covers a lot of ground in terms of services, I found the course to be quite superficial. It felt more like a product catalog tour than an 'exploring' deep dive."
"I was looking for practical steps and real-world scenarios for data transformation, but this course delivered mostly theoretical overviews of GCP products."
"It needs more depth in data transformation patterns and felt like watching a long sales pitch."

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 Exploring Data Transformation with Google Cloud with these activities:
Google Cloud Platform fundamentals
Review essential concepts like cloud computing models, service types, and pricing to strengthen your foundation for this course.
Browse courses on Google Cloud Platform
Show steps
  • Identify key cloud computing concepts like SaaS, PaaS, and IaaS.
  • Explore various Google Cloud services and their functionalities.
  • Understand Google Cloud pricing models and cost optimization strategies.
Data Transformation Study Group
Engage with fellow learners by forming a study group to discuss course concepts, share resources, and support each other's learning journey.
Show steps
  • Find other learners who are interested in forming a study group.
  • Establish a regular meeting schedule and format for your sessions.
  • Take turns presenting on different topics related to data transformation.
  • Collaborate on projects or assignments to reinforce your learning.
Data Transformation Challenges
Sharpen your data transformation skills by solving coding challenges that involve cleaning, manipulating, and analyzing data.
Browse courses on Data Manipulation
Show steps
  • Use Python or another programming language to solve data transformation problems.
  • Test your solutions against provided test cases.
  • Review your solutions and identify areas for improvement.
  • Optional: Submit your solutions to an online coding platform for feedback.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Management with BigQuery
Enhance your knowledge of data management by following guided tutorials on BigQuery's features, such as data ingestion, querying, and analysis.
Browse courses on BigQuery
Show steps
  • Create a BigQuery dataset and load sample data.
  • Perform data transformations using SQL queries.
  • Visualize data using BigQuery's built-in visualization tools.
Cloud Data Pipeline Design
Apply your understanding of data transformation by designing a data pipeline that addresses a specific business problem.
Browse courses on Data Pipelines
Show steps
  • Define the data sources, transformations, and destination for your pipeline.
  • Choose appropriate Google Cloud services for each stage of the pipeline.
  • Create a detailed diagram or documentation outlining your pipeline design.
Data Transformation Blog Post
Consolidate your learning by writing a blog post that shares your insights on data transformation techniques and their applications.
Browse courses on Data Transformation
Show steps
  • Choose a specific aspect of data transformation to focus on.
  • Research and gather information from reliable sources.
  • Organize your thoughts and outline the key points of your post.
  • Write a clear and engaging blog post that showcases your understanding.
Data Transformation Project
Put your knowledge into practice by undertaking a project that involves transforming real-world data and creating insights.
Browse courses on Capstone Project
Show steps
  • Identify a business problem or opportunity that can be addressed using data transformation.
  • Gather and prepare the necessary data for your project.
  • Apply data transformation techniques to clean, manipulate, and analyze the data.
  • Visualize and interpret your results to identify patterns and insights.
  • Present your findings and recommendations to a target audience.

Career center

Learners who complete Exploring Data Transformation with Google Cloud will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They work with data from a variety of sources, including relational databases, NoSQL databases, and cloud storage systems. By completing this course, learners will gain the skills they need to build data pipelines that are reliable, scalable, and performant. This course will also help learners to understand the different types of data management solutions that are available on Google Cloud, and how to use these solutions to make data useful and accessible.
See salaries and explore the career path for Data Engineer
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data. They use data to identify trends, patterns, and insights that can help businesses make better decisions. This course will help learners to develop the skills they need to be successful Data Analysts. Learners will learn how to use Google Cloud's data management solutions to collect and clean data, and how to use statistical and machine learning techniques to analyze data.
See salaries and explore the career path for Data Analyst
Data Scientist
A Data Scientist is responsible for developing and deploying machine learning models. They use data to build models that can predict future events, identify fraud, and recommend products. This course will help learners to develop the skills they need to be successful Data Scientists. Learners will learn how to use Google Cloud's machine learning platform to develop and deploy machine learning models.
See salaries and explore the career path for Data Scientist
Cloud Architect
A Cloud Architect is responsible for designing and implementing cloud solutions. They work with customers to understand their business needs and identify the best way to use cloud technology to meet those needs. This course will help learners to develop the skills they need to be successful Cloud Architects. Learners will learn about the different cloud computing services that are available on Google Cloud, and how to design and implement cloud solutions that are scalable, reliable, and secure.
See salaries and explore the career path for Cloud Architect
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. They ensure that databases are available, performant, and secure. This course will help learners to develop the skills they need to be successful Database Administrators. Learners will learn about the different types of databases that are available on Google Cloud, and how to manage and maintain databases using Google Cloud's tools and services.
See salaries and explore the career path for Database Administrator
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for analyzing data to identify trends and patterns that can help businesses make better decisions. They use data to develop reports, dashboards, and other visualizations that can help stakeholders understand the data and make informed decisions. This course will help learners to develop the skills they need to be successful Business Intelligence Analysts. Learners will learn how to use Google Cloud's data management solutions to collect and clean data, and how to use statistical and machine learning techniques to analyze data.
See salaries and explore the career path for Business Intelligence Analyst
Data Warehouse Engineer
A Data Warehouse Engineer is responsible for designing and building data warehouses. They work with data from a variety of sources to create a central repository of data that can be used for business intelligence and analytics. This course will help learners to develop the skills they need to be successful Data Warehouse Engineers. Learners will learn about the different types of data warehouses that are available on Google Cloud, and how to design and build data warehouses that are scalable, reliable, and performant.
See salaries and explore the career path for Data Warehouse Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models. They use data to build models that can predict future events, identify fraud, and recommend products. This course will help learners to develop the skills they need to be successful Machine Learning Engineers. Learners will learn how to use Google Cloud's machine learning platform to develop and deploy machine learning models.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course will help learners to develop the skills they need to be successful Software Engineers. Learners will learn about the different programming languages and technologies that are used in cloud computing, and how to design and develop software applications that are scalable, reliable, and secure.
See salaries and explore the career path for Software Engineer
IT Manager
An IT Manager is responsible for planning, implementing, and managing an organization's IT infrastructure. They work with a variety of technologies to ensure that the organization's IT systems are reliable, secure, and efficient. This course will help learners to develop the skills they need to be successful IT Managers. Learners will learn about the different technologies that are used in cloud computing, and how to plan, implement, and manage an IT infrastructure that is scalable, reliable, and secure.
See salaries and explore the career path for IT Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality. This course will help learners to develop the skills they need to be successful Project Managers. Learners will learn about the different project management methodologies that are used in cloud computing, and how to plan, execute, and close projects that are successful.
See salaries and explore the career path for Project Manager
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. They work with stakeholders to gather requirements, develop solutions, and implement changes. This course will help learners to develop the skills they need to be successful Business Analysts. Learners will learn about the different business analysis techniques that are used in cloud computing, and how to analyze business processes and identify opportunities for improvement.
See salaries and explore the career path for Business Analyst
Data Administrator
A Data Administrator is responsible for managing and maintaining data. They work with a variety of databases and data management tools to ensure that data is accurate, consistent, and secure. This course will help learners to develop the skills they need to be successful Data Administrators. Learners will learn about the different types of databases that are available on Google Cloud, and how to manage and maintain data using Google Cloud's tools and services.
See salaries and explore the career path for Data Administrator
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. They work with users to gather requirements, develop solutions, and implement changes. This course will help learners to develop the skills they need to be successful Systems Analysts. Learners will learn about the different systems analysis techniques that are used in cloud computing, and how to analyze and design computer systems that are scalable, reliable, and secure.
See salaries and explore the career path for Systems Analyst
Database Developer
A Database Developer is responsible for designing and developing databases. They work with a variety of databases and data management tools to create databases that meet the needs of users. This course will help learners to develop the skills they need to be successful Database Developers. Learners will learn about the different types of databases that are available on Google Cloud, and how to design and develop databases that are scalable, reliable, and secure.
See salaries and explore the career path for Database Developer

Reading list

We've selected four 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 Exploring Data Transformation with Google Cloud.
Cover image
Data Science for Business
Save
Explores the practical applications of data science in business settings, providing insights into how data can drive decision-making and improve outcomes.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
Deep Learning for Coders with fastai and PyTorch
Save
Provides a practical introduction to deep learning for coders, offering hands-on examples and best practices using the Fastai and PyTorch frameworks.
Deep Learning for Coders with Fastai and PyTorch:...
Paperback
$$
Deep Learning for Coders with fastai and PyTorch:...
Kindle Edition
$$
Cover image
Interpretable Machine Learning
Save
Introduces the concepts and techniques of interpretable machine learning, providing guidance on how to make machine learning models more transparent and understandable.
Interpretable Machine Learning: A Guide For Making...
Paperback
$$$
Cover image
Stakeholder Capitalism
Save
Explores the broader implications of the fourth industrial revolution, examining how technology is transforming various aspects of society and the economy.
Stakeholder Capitalism: A Global Economy that Works...
Hardcover
$$
(中文) Stakeholder Capitalism (Chinese Edition)
Hardcover
$$
Stakeholder Capitalism: A Global Economy that Works...
Kindle Edition
$$

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Course image
Time
3300 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Designed for those who want an overview of how cloud technology can be combined with data for business value
Created by one of the world's leading cloud computing vendors
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