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    Enterprise Data Architecture

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    The High Plains team can help you modernize applications and data warehouse systems to reduce costs and improve data processing speed and quality. We specialize in using cloud analytical databases like AWS Redshift, as well as cost-effective storage solutions like S3 for data lakes. Additionally, we have expertise in utilizing big data technologies such as AWS Glue, EMR, Kinesis, and Lambdas/step functions to build efficient and cost-effective ETL pipelines.
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    Enterprise Data Architecture

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    Overview

    Data-driven insights and reports rely on well-architected data management architecture. The High Plains team helps you modernize legacy applications and data warehouse teams to tremendously reduce costs and improve the speed and quality of all data operations. Our team enables you to build solutions using Cloud analytical databases like AWS Redshift or use low-cost peta byte scale S3 to build data lake solutions and use big data technologies like AWS Glue, EMR, Kinesis, and Lambdas/step functions to build modernized ETL pipelines that scale well and tremendously reduce the cost of Big data computing.

    Highlights

    • Modernizing legacy applications and data warehouse teams.
    • Reducing costs and improving the speed and quality of data operations.
    • Leveraging AWS Redshift for analytical databases.

    Details

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    Legal

    Content disclaimer

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    Support

    Vendor support

    High Plains Computing provide 24 x7 support within one one-hour response time SLA. Other services are covered via standard support of within 1 business day response time. High Plains provides customers with phone, email, and web access to create tickets. High Plains support engineers are AWS-certified sysops and DevOps Contact us for further details:

    Phone: +1 (307) 264-3401

    Email: service@highplains.io