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    Spark on Debian 10 with support by AskforCloud LLC

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    AWS Free Tier
    This product has charges associated with it for support. Apache Spark™ is an open source unified engine for large-scale data analytics.
    Listing Thumbnail

    Spark on Debian 10 with support by AskforCloud LLC

     Info

    Overview

    This is a repackaged open source software product wherein additional charges apply for support and maintenance by AskforCloud LLC.

    Apache Spark™ is an open source multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

    Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for incremental computation and stream processing.

    Disclaimer: This Virtual machine offer contains free and open source software. All the software, trademarks used in the Virtual machine offer are the exclusive property of their respective owners. Askforcloud LLC does not offer commercial license of the product mentioned above. Apache Spark, Spark, Apache, the Apache feather logo, and the Apache Spark project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries. Apache Spark Licensed under the Apache License, Version 2.0.

    Highlights

    • Execute fast, distributed ANSI SQL queries for dashboarding and ad-hoc reporting. Runs faster than most data warehouses.
    • Unify the processing of your data in batches and real-time streaming, using your preferred language: Python, SQL, Scala, Java or R.
    • Train machine learning algorithms on a laptop and use the same code to scale to fault-tolerant clusters of thousands of machines.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Debian 10

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t2.large) in the US East (N. Virginia) Region. View pricing details

    $0.193/hour

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Spark on Debian 10 with support by AskforCloud LLC

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (442)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.nano
    $0.006
    $0.006
    $0.012
    t2.micro
    AWS Free Tier
    $0.006
    $0.012
    $0.018
    t2.small
    $0.01
    $0.023
    $0.033
    t2.medium
    $0.06
    $0.046
    $0.106
    t2.large
    Recommended
    $0.10
    $0.093
    $0.193
    t2.xlarge
    $0.10
    $0.186
    $0.286
    t2.2xlarge
    $0.10
    $0.371
    $0.471
    t3.nano
    $0.006
    $0.005
    $0.011
    t3.micro
    AWS Free Tier
    $0.006
    $0.01
    $0.016
    t3.small
    $0.01
    $0.021
    $0.031

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    For this offer, Askforcloud LLC does not offer refund, you can cancel at anytime.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    NA

    Additional details

    Usage instructions

    Connect to EC2 Linux instance - https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html  ( Port - 22 and Username - admin)

    Spark - https://spark.apache.org/docs/3.2.0/index.html  Use the following steps:

    1. Ports - 8080,7077
    2. Start a standalone master server using command - start-master.sh
    3. Open your web browser and access the Spark web interface using the URL http://your-server-ip:8080 
    4. Start Spark Worker Process - start-slave.sh spark://your-server-ip:7077
    5. Use the spark-shell command to access Spark Shell - /opt/spark/bin/spark-shell
    6. Connect the Spark with command for Python, use pyspark - /opt/spark/bin/pyspark
    7. Stop Master and Slave server with the following command:
      • stop-slave.sh
      • stop-master.sh

    Resources

    Vendor resources

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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