One optimization solution for all EMR use cases
Achieve faster, more efficient big data applications with Intel Granulate
Batch/streaming data
Data Science at Scale
SQL Analytics
Machine Learning
Complete more EMR jobs in less time
Intel Tiber App-Level Optimization allows data science, data engineering and data analysis teams to improve big data application performance
YARN resource allocation
Optimized to improve cluster density and remove overprovisioning waste.
Spark dynamic allocation
Optimized dynamic allocation and removal of executors based on the job patterns and predictive idle heuristics.
JVM runtime optimization
JNI overhead reduction, execution control flow and reflection overhead optimization
Memory arenas optimization
Release of memory space and object sizes to reduce allocation overhead
Crypto & compression acceleration
Leveraging Crypto architecture, accelerators, and instruction sets for operations
They got to the core
of their Hadoop
applications
50 %
memory reduction
20 %
cost reduction
15 %
CPU improvement
33 %
reduction in cores
45 %
clusters optimized
100 %
EMR fleet optimization
40 %
cost reduction
15 %
Spark time reduction
35 %
CPU reduction