White Papers

  • Big Data Engineering for Machine Learning

    Big Data Engineering for Machine Learning

    How big data engines are used for exploring and preparing data, building pipelines, and delivering data sets to ML applications

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  • Enabling SQL Access to Data Lakes

    Enabling SQL Access to Data Lakes

    Tips on how to choose the best SQL Engine for your use case and data workloads

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  • Open Data Lake Reference Architectures

    Open Data Lake Reference Architectures

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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

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  • Qubole on Amazon AWS: Security and Compliance

    Qubole on Amazon AWS: Security and Compliance

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  • 3 Steps to Justify & Reduce The Cost of Your Data Lake

    3 Steps to Justify & Reduce The Cost of Your Data Lake

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  • Qubole on Google Cloud Platform

    Qubole on Google Cloud Platform

    Rapidly deploy analytics and machine learning with Apache Spark, Hadoop, and Presto with Qubole on the Google Cloud Platform.

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  • Benefits of Modern Cloud Data Lake Platform Qubole GCP

    Benefits of Modern Cloud Data Lake Platform Qubole GCP

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  • On-premises to Cloud Migration

    On-premises to Cloud Migration

    Cloud-based data lakes provide best ROI, enabling auto-scaling depending on workloads. Qubole provides an integrated, highly resilient environment, and reduces many problems of on-premises approaches.

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  • Modern Integrated Data Environment

    Modern Integrated Data Environment

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  • GCP On Prem Buyers Guide

    GCP On Prem Buyers Guide

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  • Qubole on AWS

    Qubole on AWS

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  • 2020 Cloud Data Lake Platforms Buyers Guide

    2020 Cloud Data Lake Platforms Buyers Guide

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  • Minimizing Job Failures and Maximizing Spot Utilization

    Minimizing Job Failures and Maximizing Spot Utilization

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  • The Evolving Role of the Data Engineer

    The Evolving Role of the Data Engineer

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  • 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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  • Activating Big Data: The Key To Success with Machine Learning Advanced Analytics

    Activating Big Data: The Key To Success with Machine Learning Advanced Analytics

    How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.

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  • Cloud Big Data Platform Buyer Guide

    Cloud Big Data Platform Buyer Guide

    Key criteria to consider when evaluating cloud data platforms

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  • Qubole on AWS: Security and Compliance White Paper

    Qubole on AWS: Security and Compliance White Paper

    Security strategies to protect your information and how our security model works with AWS

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  • Qubole on Azure: Security Compliance

    Qubole on Azure: Security Compliance

    Security strategies to protect your data on Microsoft Azure

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