White Papers
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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
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
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Five Ways to Optimize Big Data Processing Costs in the Cloud
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Qubole on Amazon AWS: Security and Compliance
A Whitepaper of Qubole that how it passionate about making data easily accessible for open data lake platforms while using Amazon AWS for our customer's data with proper security measures & compliance
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3 Steps to Justify & Reduce The Cost of Your Data Lake
How to position the data lake expenditure to finance.
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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
IDC explains how data leaders are adopting cloud data lake platforms built by companies like Qubole and Google Cloud Platform to address the growing need for mission-critical analytics during COVID-19
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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
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GCP On Prem Buyers Guide
Migrating your data lake to google cloud
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Qubole on AWS
Qubole platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50%
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2020 Cloud Data Lake Platforms Buyers Guide
Qubole's buyer guide about how cloud data lake platform helps organizations to achieve efficiency & agility by adopting an open data lake platform and why data lakes are moving to the cloud
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Minimizing Job Failures and Maximizing Spot Utilization
Three part journey of how customer implemented spot nodes and now uses as part of daily routine causing reliability issues, delays, and troubleshooting problems
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The Evolving Role of the Data Engineer
Every organization can benefit from data, used adeptly in coordina‐ tion with the organization’s goals
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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
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
Key criteria to consider when evaluating cloud data platforms
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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
Security strategies to protect your data on Microsoft Azure
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