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Qubole has defined a new security model to improve enterprise-level security and data governance on the cloud. The model integrates the cloud vendor’s storage authorization…

Qubole is proud to announce that our flagship Qubole Data Service (QDS) will switch to billing all customer usage in “per-second” increments for all AWS…

Jupyter™ Notebooks is one of the most popular IDE of choice among Python users. Traditionally, Jupyter users work with small or sampled datasets that do…

Co-authored by Ajay Bhave and Rohan Garg, Members of Technical Team, Qubole. We are excited to announce the integration of Microsoft’s Azure Data Lake Store (ADLS) with…

While Qubole has enabled large organizations to become self-service data driven enterprises, many small and medium businesses have faced several hurdles in their big data…

The proliferation of Cloud for Big Data workloads has provided many benefits, and has also opened up new areas of optimization. But Data teams often…

Co-authored by Jeffrey Ellin, Solutions Architect, Qubole. In our last post, we discussed setting up Amazon IoT, Kinesis and Qubole to build a streaming pipeline.…

Nexla is a data operations platform that focuses on enabling data movement between companies with security and scale. The platform is simple enough for the…

Co-authored by Jeffrey Ellin, Solutions Architect, Qubole. The Internet of Things (IoT) is increasingly becoming an important topic in the world of application development. This…

Execution engines like M/R, Tez, Presto and Spark provide a set of knobs or configuration parameters that control the behavior of the execution engine. In…