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Running Parallel Apache Spark Notebook Workloads On Azure Databricks

January 18, 2019 Jan 18, 2019 01/18/19
Clemens Wolff
This article walks through the development of a technique for running Spark jobs in parallel on Azure Databricks. The technique enabled us to reduce the processing times for JetBlue's reporting threefold while keeping the business logic implementation straight forward. The technique can be re-used for any notebooks-based Spark workload on Azure Databricks.

Permissively-Licensed Named Entity Recognition on the JVM

November 20, 2017 Nov 20, 2017 11/20/17
Clemens Wolff
The ability to correctly identify entities, such as places, people, and organizations, adds a powerful level of natural language understanding to applications. This post introduces a MIT-licensed one-click deployment to Azure for web services that lets developers get started with a wide range of natural language tasks in 5 minutes or less, by consuming simple HTTP services for language identification, tokenization, part-of-speech-tagging and named entity recognition.