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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the Google Cloud Console.
Register for this course and see more details by visiting:
OpenCourser.com/course/ag201u/introduction
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What's inside
Syllabus
Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops core skills for hands-on Hadoop and Spark jobs
Teaches Spark/Hadoop concepts by using Google Cloud Console
Taught by Google Cloud Training, recognized experts in cloud computing
Suitable for students with a background in data analytics or a related field
Save this course
Save Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud to your list so you can find it easily later:
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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 Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud with these
activities:
Review Data Processing Fundamentals
Show steps
Deepen your understanding of Cloud Computing, Big Data, and Data Analytics to better utilize Dataproc.
Browse courses on
Cloud Computing Concepts
Show steps
-
Review introductory articles on cloud computing
-
Review introductory articles on big data and data analytics
-
Read documentation on Hadoop fundamentals
Hadoop: The Definitive Guide
Show steps
Gain a comprehensive understanding of Hadoop, a key technology in Dataproc.
View
Hadoop: The Definitive Guide: Storage and...
on Amazon
Show steps
-
Read through the chapters on Hadoop architecture and ecosystem
-
Review sections on HDFS, MapReduce, and YARN
-
Explore case studies and real-world applications of Hadoop
Practice Spark Programming on Command Line
Show steps
Build confidence in using Spark programming, a key component of this course.
Browse courses on
Apache Spark
Show steps
-
Set up a Spark environment on your local machine
-
Practice basic Spark commands and operations
-
Experiment with Spark dataframes and datasets
Two other activities
Expand to see all activities and additional details
Show all five activities
Interactive Spark Tutorials
Show steps
Complement the course materials with interactive tutorials and hands-on examples.
Browse courses on
Big Data Analytics
Show steps
-
Explore interactive tutorials on Spark programming
-
Follow step-by-step guides to build Spark applications
-
Experiment with different datasets and scenarios
Mentor a Junior Data Analyst
Show steps
Reinforce your understanding by teaching and guiding others in the field.
Browse courses on
Knowledge Sharing
Show steps
-
Identify a junior data analyst seeking mentorship
-
Set clear goals and expectations for the mentorship
-
Provide guidance and support on technical skills and industry best practices
Review Data Processing Fundamentals
Show steps
Deepen your understanding of Cloud Computing, Big Data, and Data Analytics to better utilize Dataproc.
Browse courses on
Cloud Computing Concepts
Show steps
Show steps
Show steps
- Review introductory articles on cloud computing
- Review introductory articles on big data and data analytics
- Read documentation on Hadoop fundamentals
Hadoop: The Definitive Guide
Show steps
Gain a comprehensive understanding of Hadoop, a key technology in Dataproc.
View
Hadoop: The Definitive Guide: Storage and...
on Amazon
Show steps
Show steps
Show steps
- Read through the chapters on Hadoop architecture and ecosystem
- Review sections on HDFS, MapReduce, and YARN
- Explore case studies and real-world applications of Hadoop
Practice Spark Programming on Command Line
Show steps
Build confidence in using Spark programming, a key component of this course.
Browse courses on
Apache Spark
Show steps
Show steps
Show steps
- Set up a Spark environment on your local machine
- Practice basic Spark commands and operations
- Experiment with Spark dataframes and datasets
Two other activities
Expand to see all activities and additional details
Show all five activities
Interactive Spark Tutorials
Show steps
Complement the course materials with interactive tutorials and hands-on examples.
Browse courses on
Big Data Analytics
Show steps
Show steps
Show steps
- Explore interactive tutorials on Spark programming
- Follow step-by-step guides to build Spark applications
- Experiment with different datasets and scenarios
Mentor a Junior Data Analyst
Show steps
Reinforce your understanding by teaching and guiding others in the field.
Browse courses on
Knowledge Sharing
Show steps
Show steps
Show steps
- Identify a junior data analyst seeking mentorship
- Set clear goals and expectations for the mentorship
- Provide guidance and support on technical skills and industry best practices
Career center
Learners who complete Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud will develop knowledge and skills
that may be useful to these careers:
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems. They work with clients to understand their business needs and then design and implement cloud solutions that meet those needs. This course can help you build a foundation in cloud computing and big data, which are essential skills for Cloud Architects. You will learn how to use Google Cloud Platform (GCP) to create and manage cloud-based applications and data pipelines.
Data Architect
Data Architect
Data Architects design and build data management systems. They work with businesses to understand their data needs and then design and implement data solutions that meet those needs. This course can help you build a foundation in cloud computing and big data, which are essential skills for Data Architects. You will learn how to use GCP to create and manage cloud-based data pipelines and data warehouses.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines. They work with data to transform it into a format that can be used by businesses to make decisions. This course can help you build a foundation in cloud computing and big data, which are essential skills for Data Engineers. You will learn how to use GCP to create and manage cloud-based data pipelines.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They work with data to identify patterns and trends that can be used to make better decisions. This course can help you build a foundation in cloud computing and big data, which are essential skills for Data Scientists. You will learn how to use GCP to create and manage cloud-based data pipelines and data warehouses.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work with data to train models that can be used to make predictions and decisions. This course can help you build a foundation in cloud computing and big data, which are essential skills for Machine Learning Engineers. You will learn how to use GCP to create and manage cloud-based machine learning models.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. They work with businesses to understand their needs and then design and implement software solutions that meet those needs. This course can help you build a foundation in cloud computing and big data, which are essential skills for Software Engineers. You will learn how to use GCP to create and manage cloud-based applications.
Systems Engineer
Systems Engineer
Systems Engineers design, build, and maintain computer systems. They work with businesses to understand their needs and then design and implement systems that meet those needs. This course can help you build a foundation in cloud computing and big data, which are essential skills for Systems Engineers. You will learn how to use GCP to create and manage cloud-based systems.
Cloud Developer
Cloud Developer
Cloud Developers build and maintain applications that run on cloud platforms. They work with businesses to understand their needs and then design and implement applications that meet those needs. This course can help you build a foundation in cloud computing and big data, which are essential skills for Cloud Developers. You will learn how to use GCP to create and manage cloud-based applications.
Data Analyst
Data Analyst
Data Analysts use data to identify patterns and trends that can be used to make better decisions. They work with businesses to understand their needs and then analyze data to find insights that can be used to improve business outcomes. This course can help you build a foundation in cloud computing and big data, which are essential skills for Data Analysts. You will learn how to use GCP to create and manage cloud-based data pipelines and data warehouses.
Business Analyst
Business Analyst
Business Analysts work with businesses to understand their needs and then develop solutions that meet those needs. They may work on a variety of projects, including process improvement, product development, and financial analysis. This course can help you build a foundation in cloud computing and big data, which are becoming increasingly important in the business world. You will learn how to use GCP to create and manage cloud-based solutions that can help businesses improve their operations.
Project Manager
Project Manager
Project Managers plan and execute projects. They work with stakeholders to define project goals and objectives, develop project plans, and track project progress. This course can help you build a foundation in cloud computing and big data, which are becoming increasingly important in the project management field. You will learn how to use GCP to create and manage cloud-based projects.
IT Manager
IT Manager
IT Managers plan and manage IT systems. They work with businesses to understand their IT needs and then develop and implement IT solutions that meet those needs. This course can help you build a foundation in cloud computing and big data, which are becoming increasingly important in the IT management field. You will learn how to use GCP to create and manage cloud-based IT systems.
Database Administrator
Database Administrator
Database Administrators manage databases. They work with businesses to understand their data needs and then design and implement database solutions that meet those needs. This course can help you build a foundation in cloud computing and big data, which are becoming increasingly important in the database administration field. You will learn how to use GCP to create and manage cloud-based databases.
Network Administrator
Network Administrator
Network Administrators manage networks. They work with businesses to understand their networking needs and then design and implement network solutions that meet those needs. This course can help you build a foundation in cloud computing and big data, which are becoming increasingly important in the network administration field. You will learn how to use GCP to create and manage cloud-based networks.
Security Analyst
Security Analyst
Security Analysts protect computer systems from security threats. They work with businesses to understand their security needs and then develop and implement security solutions that meet those needs. This course can help you build a foundation in cloud computing and big data, which are becoming increasingly important in the security analysis field. You will learn how to use GCP to create and manage cloud-based security solutions.
For more career information including salaries, visit:
OpenCourser.com/course/ag201u/introduction
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
Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud.
Comprehensive guide to Spark, the open-source framework for big data processing. It covers the basics of Spark, including its architecture, data model, and APIs. It also provides detailed guidance on how to use Spark to build real-world applications.
Comprehensive guide to Hadoop, the open-source framework for storing and processing big data. It covers the basics of Hadoop, including its architecture, data model, and APIs. It also provides detailed guidance on how to use Hadoop to build real-world applications.
Provides a comprehensive overview of deep learning with Python. It covers the basics of deep learning, including its algorithms and techniques. It also provides detailed guidance on how to use Python to build deep learning models.
Provides a comprehensive overview of machine learning with Spark. It covers the basics of machine learning, including its algorithms and techniques. It also provides detailed guidance on how to use Spark to build machine learning models.
Concise and practical guide to Hadoop, the open-source framework for storing and processing big data. It covers the basics of Hadoop, including its architecture, data model, and APIs. It also provides detailed guidance on how to use Hadoop to build real-world applications.
Provides a comprehensive overview of deep learning with TensorFlow. It covers the basics of deep learning, including its algorithms and techniques. It also provides detailed guidance on how to use TensorFlow to build deep learning models.
Provides a comprehensive overview of machine learning with R. It covers the basics of machine learning, including its algorithms and techniques. It also provides detailed guidance on how to use R to build machine learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ag201u/introduction
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Effort
0.5 Hours
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops core skills for hands-on Hadoop and Spark jobs
Teaches Spark/Hadoop concepts by using Google Cloud Console
Taught by Google Cloud Training, recognized experts in cloud computing
Suitable for students with a background in data analytics or a related field
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