Data Driven Action: A Spring Primer on Data Science
Data Driven Action: A Spring Primer on Data Science
Learn some of the basics around data wrangling and NLP through Spring Java ecosystem.
Join the DZone community and get the full member experience.
Join For FreeThe 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.
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.
Like This Article? Read More From DZone
Published at DZone with permission of Pieter Humphrey , DZone MVB. See the original article here.
Opinions expressed by DZone contributors are their own.
{{ parent.title || parent.header.title}}
{{ parent.tldr }}
{{ parent.linkDescription }}
{{ parent.urlSource.name }}