Faster Insights with IBM Cloudant and Apache Spark

The potent combination of NoSQL databases, like IBM Cloudant, and Apache Spark provide developers and data scientists with access to rapid integration, transformation and analysis of all kinds of business data.

This free ebook, "Getting Faster Insights from Application Data with IBM Cloudant and Apache Spark," explains how to deploy the open source Spark-Cloudant connector to conduct in-memory analytics of your Cloudant JSON data in a Jupyter Notebook.

Through examples, this eBook showcases:

  • How one company used Cloudant and Spark to conduct smarter, real-time maintenance of its assets using connected sensors

  • How Notebooks offer a powerful back-end interface for data science and analysis, while displaying text and annotations, code and data, and visualizations, all in the same environment

  • How to get started with analytics on your own JSON data while tapping into additional features of Cloudant, such as offline data access and native support for GeoJSON

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