January 2019 | CSE Developer Blog

Running Parallel Apache Spark Notebook Workloads On Azure Databricks

Clemens WolffJanuary 18, 2019Jan 18, 201901/18/19

Background and Problem Definition In today’s fast-moving world, having access to up-to-date business metrics is key to making data-driven customer-centric decisions. With over 1000 daily flights servicing more than 100 cities and 42 million customers per year, JetBlue has a lot of data to crunch, answering questions such as: What is the ...

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

Patty RyanJanuary 10, 2019Jan 10, 201901/10/19

Business Problem For a subscription service business, there are two ways to drive growth: grow the number of new customers, or increase the lifetime value from the customers that you already have by retaining more of them. Improving customer retention requires the ability to predict which subscribers are likely to cancel (referred to as churn...

Real-time time series analysis at scale for trending topics detection

Omri MendelsJanuary 2, 2019Jan 2, 201901/2/19

Managing big cities and providing citizens public services requires municipalities to have a keen understanding of what citizens care the most about. And, as the cities we live in seek more and more to become the 'smart cities' of tomorrow, this means gathering and analyzing vast amounts of data. Data gathered from social and municipal sources...

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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