[MapR Talk] Operational Hadoop and the Lambda Architecture for Streaming Data

Document created by aalvarez Employee on Dec 1, 2015Last modified by aalvarez Employee on Dec 7, 2015
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Overview

In an effort to help grow organic communities interested in new technologies, MapR speakers around the world provide technical talks on numerous topics. Please browse our MapR Talks Directory  to learn how to search and request a talk in seconds.

 

Abstract

Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and internet-of-things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze real-time and historical data together.

 

This presentation will cover the practice of capturing canonical data “as it lands” as a baseline for accommodating future analytics requirements.

 

Location Availability & Request Link

North America. Please refer to theMapR Talks Directory  for specific countries.

You can request this talk here: Speaker Request

 

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