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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'll learn how to use a bash script to download selected data from a large public data set that is available on the internet.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides learners with experience downloading a large dataset from the internet
Enables learners to use a bash script to automate the data download process
Course instruction is organized by Google Cloud Training

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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 Ingesting Data Into The Cloud with these activities:
Review basic data manipulation techniques
Enhance your comprehension of core data manipulation concepts before starting the course.
Browse courses on Data Manipulation
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Explore Google's guide to connecting to the Google Cloud SDK
Become familiar with the Google Cloud SDK before starting the course to reduce friction when running labs.
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Solve data manipulation challenges using a bash script
Test your problem-solving abilities by practicing how to manipulate data using a bash script.
Browse courses on Bash Scripting
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  • Identify data manipulation tasks
  • Develop bash script solutions
  • Test and debug script
Two other activities
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Show all five activities
Collect resources on bash scripting and data manipulation
Organize and curate a collection of valuable resources to enhance your learning journey.
Browse courses on Bash Scripting
Show steps
  • Identify relevant resources (e.g., tutorials, documentation, blog posts)
  • Categorize and organize resources
  • Share your compilation with others
Build a portfolio of data manipulation scripts
Solidify your data manipulation skills by creating a portfolio of scripts that demonstrate your proficiency.
Browse courses on Data Manipulation
Show steps
  • Identify a set of data manipulation tasks to showcase
  • Develop and refine bash scripts for each task
  • Document and present your portfolio

Career center

Learners who complete Ingesting Data Into The Cloud will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use data to solve business problems. They help companies understand their customers, identify trends, and make better decisions. This course can help you become a Data Analyst by teaching you how to download and process large datasets. This is a critical skill for Data Analysts, as they often need to work with data that is too large to be processed manually.
Data Scientist
Data Scientists use data to build machine learning models. These models can be used to predict customer behavior, identify fraud, and optimize business processes. This course can help you become a Data Scientist by teaching you how to download and process large datasets. This is a critical skill for Data Scientists, as they often need to work with data that is too large to be processed manually.
Data Engineer
Data Engineers build and maintain the infrastructure that allows companies to store and process data. They ensure that data is available when it is needed, and that it is secure and reliable. This course can help you become a Data Engineer by teaching you how to download and process large datasets. This is a critical skill for Data Engineers, as they often need to work with data that is too large to be processed manually.
Business Analyst
Business Analysts use data to help companies make better decisions. They analyze data to identify trends, understand customer needs, and develop strategies for growth. This course can help you become a Business Analyst by teaching you how to download and process large datasets. This is a critical skill for Business Analysts, as they often need to work with data that is too large to be processed manually.
Database Administrator
Database Administrators ensure that databases are running smoothly and efficiently. They create and maintain databases, and they troubleshoot any problems that occur. This course can help you become a Database Administrator by teaching you how to download and process large datasets. This is a critical skill for Database Administrators, as they often need to work with data that is too large to be processed manually.
Systems Analyst
Systems Analysts design and implement computer systems. They work with users to understand their needs, and they develop systems that meet those needs. This course may be helpful for Systems Analysts, as it can teach them how to download and process large datasets. This can be useful for understanding user needs, and for developing systems that can handle large amounts of data.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with users to understand their needs, and they develop software that meets those needs. This course may be helpful for Software Engineers, as it can teach them how to download and process large datasets. This can be useful for developing software that can handle large amounts of data.
Statistician
Statisticians collect, analyze, and interpret data. They use statistical methods to draw conclusions about data, and they communicate their findings to others. This course may be helpful for Statisticians, as it can teach them how to download and process large datasets. This can be useful for collecting and analyzing large amounts of data.
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. They work with users to understand their needs, and they develop data warehouses that meet those needs. This course may be helpful for Data Warehouse Architects, as it can teach them how to download and process large datasets. This can be useful for designing and implementing data warehouses that can handle large amounts of data.
Database Architect
Database Architects design and implement databases. They work with users to understand their needs, and they develop databases that meet those needs. This course may be helpful for Database Architects, as it can teach them how to download and process large datasets. This can be useful for designing and implementing databases that can handle large amounts of data.
Storage Engineer
Storage Engineers design and implement storage systems. They work with users to understand their needs, and they develop storage systems that meet those needs. This course may be helpful for Storage Engineers, as it can teach them how to download and process large datasets. This can be useful for designing and implementing storage systems that can handle large amounts of data.
Network Engineer
Network Engineers design and implement networks. They work with users to understand their needs, and they develop networks that meet those needs. This course may be helpful for Network Engineers, as it can teach them how to download and process large datasets. This can be useful for designing and implementing networks that can handle large amounts of data.
Cloud Architect
Cloud Architects design and implement cloud solutions. They work with users to understand their needs, and they develop cloud solutions that meet those needs. This course may be helpful for Cloud Architects, as it can teach them how to download and process large datasets. This can be useful for designing and implementing cloud solutions that can handle large amounts of data.
IT Manager
IT Managers have the responsibility for planning, organizing, and directing the information technology (IT) activities of an organization. This course may be helpful for IT Managers, as it can teach them how to download and process large datasets. This can be useful for managing IT resources and ensuring that systems are running smoothly.
Web Developer
Web Developers design and develop websites. They work with users to understand their needs, and they develop websites that meet those needs. This course may be helpful for Web Developers, as it can teach them how to download and process large datasets. This can be useful for developing websites that can handle large amounts of data.

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 Ingesting Data Into The Cloud.
Provides a comprehensive introduction to Python for data analysis. It covers topics such as data cleaning, manipulation, and visualization. It is suitable for readers who are new to Python or who want to learn more about data analysis techniques.
Provides a practical introduction to machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and model evaluation. It is suitable for readers who are new to machine learning or who want to learn more about its applications.
Provides a practical introduction to artificial intelligence using Python. It covers topics such as machine learning, natural language processing, and computer vision. It is suitable for readers who are new to artificial intelligence or who want to learn more about its applications.
Introduces Apache Spark, a popular open-source tool for big data processing. While it does not cover data ingestion specifically, it provides a solid foundation for understanding the processing of ingested data.
Introduces MapReduce, a programming model for processing large datasets. While it does not focus on data ingestion, it provides valuable insights into the distributed processing of ingested data.
Provides a comprehensive overview of Apache Hadoop, the open-source framework for distributed data processing. It covers various aspects of Hadoop, including data ingestion, storage, and processing.
This classic textbook provides a comprehensive introduction to database systems. While it does not cover data ingestion directly, it provides a strong foundation for understanding the storage and management of ingested data.

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