Strata 2014: Big Data Rocks on Advanced Java Runtimes
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Real-Time Big Data With Advanced Java Runtimes R ocks
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In this presentation, Azul Product Manager Matt Schuetze describes how to deliver real-time big data use cases using Java-based technologies like Apache Hadoop, Spark and Solr that are dependent on their underlying Java Virtual Machine (JVM).
Transcript of Strata 2014: Big Data Rocks on Advanced Java Runtimes
Real-Time Big Data
With Advanced Java Runtimes
R ocks
Big Data in Motion
Payment Systems
Traffic Congestion
Cybersecurity Monitoring
Fraud Detection
Online Advertising
Patient Diagnosis
Website Personalization
Risk Management
Meets Java When Real-Time Big Data
…that can mean Trouble
Long garbage collection pauses
Latency spikes
Node stalls
Inconsistent performance
Rocks Big Data
Meet SLA targets
Process more in-memory data
Support real-time use cases
Unlock innovation
Get new features to market faster
Create a great user experience
Real-Time Big Data Apps Rock on
A Better JVM with Better Metrics
Only JVM that delivers consistently for
real-time use cases
Certified for Java SE 8, 7 or 6
Designed for the Cloud – AWS, Rackspace
Consistent low latency
No Java-caused node stalls
Pauseless, even for the largest heaps
For Real-Time Big Data
azul.com/trial
GET
Rock Your Big Data Apps
