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Analytics and Machine Learning with Spark

The MongoDB Spark Connector integrates MongoDB and Apache Spark, providing users with the ability to process data in MongoDB with the massive parallelism of Spark. The connector gives users access to Spark's streaming capabilities, machine learning libraries, and interactive processing through the Spark shell, Dataframes and Datasets.

We'll take a tour of the connector with a focus on practical use of the connector, and run a demo using unsupervised machine learning algorithms to process data in MongoDB.
Recorded Jan 22 2018 39 mins
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Presented by
Bryan Reinero
Presentation preview: Analytics and Machine Learning with Spark

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    Andrew Morgan
    Organizations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver.

    Want to try out MongoDB on your laptop? Execute a single command and you have a lightweight, self-contained sandbox; another command removes all trace when you're done. Replicate your complete application for your development, test, operations, and support teams.

    This session introduces you to technologies such as Docker, Kubernetes, & Kafka, which are driving the microservices revolution. Learn about containers and orchestration – and most importantly, how to exploit them for stateful services such as MongoDB.

    In this session, you will learn:

    - Why organizations are choosing to use microservice architectures, what benefits they deliver, and when they should - or shouldn't - be used.
    - Technologies that are used to build microservices – including containers, orchestration and messaging systems.
    - Why MongoDB is a good fit for microservices and what special steps need to be taken to make them work well together.
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    * Why the cloud means your data strategy needs to adapt
    * What do you need to consider when building your data strategy
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    Bryan Reinero
    The MongoDB Spark Connector integrates MongoDB and Apache Spark, providing users with the ability to process data in MongoDB with the massive parallelism of Spark. The connector gives users access to Spark's streaming capabilities, machine learning libraries, and interactive processing through the Spark shell, Dataframes and Datasets.

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    Hype, buzzword, threat; however you want to characterize it, the Internet of Things (IoT) is here.

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Unleashing the power of software and data for innovators everywhere
MongoDB is the leading modern, general purpose database platform, designed to unleash the power of software and data for developers and the applications they build.

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  • Title: Analytics and Machine Learning with Spark
  • Live at: Jan 22 2018 2:35 pm
  • Presented by: Bryan Reinero
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