Financial Governance

  • Workload-Aware: Auto-Scaling A new paradigm for Big Data Workloads

    Workload-Aware: Auto-Scaling A new paradigm for Big Data Workloads

    Learn more about Workload-Aware-Auto-Scaling-- an alternative architectural approach to Auto-Scaling that is better suited for the Cloud and applications like Hadoop, Spark and Presto.

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  • Five Ways to Optimize Big Data Processing Costs in the Cloud

    Five Ways to Optimize Big Data Processing Costs in the Cloud

    Tips on how to scale infrastructure, manage low-cost compute nodes, support more users, plus more

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  • Speed to Value: How To Justify Your Big Data Investments

    Speed to Value: How To Justify Your Big Data Investments

    How best-in-class companies are generating rapid value from big data while also managing costs

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  • Keeping Costs Under Control When Processing Big Data in the Cloud

    Keeping Costs Under Control When Processing Big Data in the Cloud

    How to iIdentify areas of cost optimization to drive maximum performance for the lowest TCO

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  • Big Data Trends and Challenges Report

    Big Data Trends and Challenges Report

    How companies address common big data challenges and gain greater value from their data

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  • O'Reilly ebook: Financial Governance for Data Processing in the Cloud

    O'Reilly ebook: Financial Governance for Data Processing in the Cloud

    A comprehensive guide to understand effective financial governance

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  • Success at Petabyte Scale

    Success at Petabyte Scale

    How to support more data and users with fewer resources in this free ebook

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  • Managing Costs with Financial Governance While Democratizing Data at Scale

    Managing Costs with Financial Governance While Democratizing Data at Scale

    Effective financial governance for data processing continuously monitors and safeguards against unexpected spend

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  • Qubole On-Demand Webinar - Speed to Value How to Justify Data Analytics Investments54:12

    Qubole On-Demand Webinar - Speed to Value How to Justify Data Analytics Investments

    Apache Spark is a powerful open-source engine used for processing complex, memory-intensive workloads to create data pipelines or to build and train machine learning models. Running Spark on a cloud d

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