Getting Started with Cloud Dataproc | Scribe

    Getting Started with Cloud Dataproc

    • Hafeez Baig |
    • 18 steps |
    • 2 minutes
    1
    Sign into the **Google Cloud Console**
    2
    Type "**Dataproc**" in the search bar and click on the **Dataproc** option
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    **What is Dataproc?**\ \ **Dataproc** is a fully managed cloud service by Google Cloud for running Apache Hadoop and Apache Spark clusters. It simplifies the process of processing and analyzing large datasets by providing scalable, cost-effective, and managed clusters. Dataproc integrates with other Google Cloud services, allowing for seamless data processing, storage, and analysis.
    3
    **API** wizard will open, click on the **ENABLE** button to enable the API
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    **What is Cloud Dataproc API?**\ \ The **Cloud Dataproc API** allows developers to programmatically manage and interact with Google Cloud Dataproc clusters. It provides methods for creating, configuring, and controlling clusters, submitting jobs, and retrieving results. This API enables automation and integration of Dataproc tasks into custom applications or workflows.
    4
    **Clusters** wizard will open, click on the **CREATE CLUSTER** button on the top left side
    5
    **Create Dataproc cluster** wizard will open, click on the **CREATE** button for the Compute Engine
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    **What is Cluster on Compute Engine?**\ \ A **Cluster on Compute Engine** refers to a group of virtual machines (VMs) deployed on Google Cloud's Compute Engine that work together as a single unit. These clusters can be used for various purposes, such as running distributed applications, data processing, or scaling resources to handle large workloads. Compute Engine clusters provide high-performance, flexible, and scalable computing resources for a wide range of applications.
    6
    **Create a Dataproc cluster on Compute Engine** wizard will open, here you can give the Name for the Cluster
    7
    Scroll to the **Cluster type** section and select the option **Standard (1 master, N workers)** **Note:** You can select the option as per your requirement.
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    **What is Cluster type : Standard (1 master, N workers)?**\ \ **Cluster type: Standard (1 master, N workers)** is a configuration where a cluster consists of a single master node and multiple worker nodes. The master node is responsible for managing the cluster, scheduling tasks, and coordinating resources, while the worker nodes handle the actual data processing and computation. This setup is commonly used in distributed data processing frameworks, such as Hadoop and Spark, to efficiently manage and scale large workloads.
    8
    Scroll to the **Versioning** section, here you can check and change the Versioning
    9
    Scroll to the **Spark performance enhancements** section, here you can configure Spark performance enhancements
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    **What is Spark performance enhancements?**\ \ **Spark performance enhancements** refer to various optimizations and improvements designed to increase the efficiency and speed of Apache Spark jobs. These enhancements can include optimizing query execution, tuning resource allocation, using caching mechanisms, and leveraging advanced features like Spark SQL optimizations and adaptive query execution. The goal is to reduce job execution times, improve resource utilization, and handle larger datasets more effectively.
    10
    Scroll to the **Autoscaling** section, here you can configure the Autoscaling policy
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    **What is Autoscaling?**\ \ **Autoscaling** is a cloud service feature that automatically adjusts the number of resources, such as virtual machines or containers, based on current demand. It scales resources up or down in response to workload changes, ensuring optimal performance and cost efficiency without manual intervention. Autoscaling helps manage fluctuating traffic or processing needs by dynamically providing or reducing resources as needed.
    11
    Scroll to the **Network Configuration** section and select the option **Networks in this project** **Note:** You can select the option as per your requirement.
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    **What is Networks in this project?**\ \ **Networks in this project** refer to the virtual or physical networks configured within a specific cloud project. These networks define the connectivity and communication between different resources, such as virtual machines, databases, and other services. They manage traffic routing, access controls, and security within the project, ensuring that resources can interact with each other and external systems as needed.
    12
    Scroll to the **Selected project** section, select the option **in28minutes-project-4**
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    **What is a Project?**\ \ In Google Cloud Platform (GCP), a **project** is a container for organizing and managing resources and services. It acts as a boundary for billing, permissions, and access control, allowing you to group related resources and applications together. Each project has a unique identifier and contains settings for managing resources, monitoring usage, and configuring access policies. Projects help you organize your cloud infrastructure, manage costs, and ensure proper access control and security.