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Introduction to Cloud Dataproc

Hadoop and Spark on Google Cloud

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

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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.

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What's inside

Syllabus

Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

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

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Activities

Coming soon We're preparing activities for Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud. These are activities you can do either before, during, or after a course.

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.

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.

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