January 2019

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.

Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services

January 10, 2019 Jan 10, 2019 01/10/19

Patty Ryan

Deep learning algorithms capable of learning and predicting customer behavior are allowing businesses to intervene with the right retention offers at the right time. CSE recently partnered with Majid Al Futtaim Ventures (MAF) to design and deploy a machine learning solution to predict attrition.

Real-Time Time Series Analysis at Scale for Trending Topics Detection

January 2, 2019 Jan 2, 2019 01/2/19

Omri Mendels

This code story describes a collaboration with ZenCity around detecting trending topics at scale. We discuss the datasets, data preparation, models used and the deployment story for this scenario.

CSE Developer Blog

January 2019 - CSE Developer Blog

Running Parallel Apache Spark Notebook Workloads On Azure Databricks

Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services

Real-Time Time Series Analysis at Scale for Trending Topics Detection

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