Qubole Team

Cloud Computing Costs In the current market condition, organizations require more advanced financial controls to reduce the financial risks associated with unpredictable data processing costs.…

Autoscaling has become a familiar concept and a fundamental requirement with the advent of Cloud Computing.  It was one of the first fundamentals introduced with…

Introduction ETL workloads form a major component of big data processing at any data-driven organization – from SMBs to enterprises, and ETL data pipelines at…

A patent is a type of intellectual property that gives its owner the exclusive right to exclude others from making, using, or selling an invention…

Data Science, Artificial Intelligence, Analytics, and Machine Learning at the Enterprise scale are terms you’ve probably heard before. But what do they mean? We break…

Although both data lakes and data warehouses are used for storing big data, they are not synonymous with each other. One would agree that both…

Big Data Cloud Analytics  In today’s ever-demanding marketplace, getting the right data to the right people at the right time has become the name of…

As of today, Qubole Data Service (QDS) now supports a new way to reserve AWS Spot instances, and Qubole customers will be able to configure…

A data lake is a vast repository for storing raw, unstructured, and semi-structured data, providing flexibility and scalability. On the other hand, a data warehouse…

This blog post is part one of an upcoming series about the unique benefits provided by Qubole when leveraging Spot instances. AWS Spot Instance Reducing…

The Data Lake Summit, brought to you by Qubole, in collaboration with AWS and Google Cloud, is scheduled to be held during October 13-14, 2020.…

Running Large distributed Apache Spark clusters in the public cloud, that handle the exponential increase in volumes of data to fuel analytics and Machine Learning…