Distributed Deep Learning on Apache Spark with Keras
Deep Learning has been shown to produce highly effective machine learning models in a diverse group of fields. Some of the most interesting are: pharmaceutical…
Deep Learning has been shown to produce highly effective machine learning models in a diverse group of fields. Some of the most interesting are: pharmaceutical…
Many companies start their big data journey in the cloud on Azure by gravitating to Microsoft’s native offering HDInsight (HDI). This is because with data…
In addition to the recent announcement of the integration of Microsoft’s Azure Data Lake Store (ADLS) with Qubole Data Service (QDS), Qubole now offers interactive…
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…
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…
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