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Data Driven Action: A Spring Primer on Data Science

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Data Driven Action: A Spring Primer on Data Science

Learn some of the basics around data wrangling and NLP through Spring Java ecosystem.

· Big Data Zone ·
Free Resource

The open source HPCC Systems platform is a proven, easy to use solution for managing data at scale. Visit our Easy Guide to learn more about this completely free platform, test drive some code in the online Playground, and get started today.

In all industries, as software is eating the world, data is feeding software. However, to truly get value out of the data being generated, it must be analyzed and made actionable. Transformation in many industries actually means precisely this, data-driven action. From creating new television shows, to smart devices that help make your life easy, save precious limited resources, or protect your health, ingesting the data and building models are crucial to success.

This session will focus on examples of how these models are built. What is required to build a model? How does data need to be processed? What do you have to consider to make your model effective? And finally what tools do I use to build these models?

In this session, we will address these questions through illustrative use cases using open-source technologies varying from medical, text and sensor data, from three different speakers:

- Approaches and Open Source Tools for Wrangling and Modeling Massive Datasets

- Scaling Java Applications for NLP on MPP through PL/Java

- A Scalable Framework For Realtime Monitoring & Prediction Of Sensor Readings


Recorded at SpringOne2GX 2015.

Track: Big Data

Speakers: Sarah Aerni, Srivatsan Ramanujam, Jarrod Vawdrey

Slides: http://www.slideshare.net/SpringCentral/data-driven-action-a-primer-on-data-science

Managing data at scale doesn’t have to be hard. Find out how the completely free, open source HPCC Systems platform makes it easier to update, easier to program, easier to integrate data, and easier to manage clusters. Download and get started today.

Topics:
spring ,big data ,nlp

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