Enabling SQL Access to Data Lakes

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

Open Data Lake Reference Architectures

Five Ways to Optimize Big Data Processing Costs in the Cloud

Qubole on Amazon AWS: Security and Compliance

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

Qubole on Google Cloud Platform

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

Benefits of Modern Cloud Data Lake Platform Qubole GCP

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.

Modern Integrated Data Environment

GCP On Prem Buyers Guide

Qubole on AWS

2020 Cloud Data Lake Platforms Buyers Guide

Minimizing Job Failures and Maximizing Spot Utilization

The Evolving Role of the Data Engineer

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.

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.

Cloud Big Data Platform Buyer Guide

Key criteria to consider when evaluating cloud data platforms

Qubole on AWS: Security and Compliance White Paper

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

Qubole on Azure: Security Compliance

Security strategies to protect your data on Microsoft Azure