Hadoop
Hadoop is open-source framework to store large data sets from gigabytes to petabytes. Hadoop is designed to scale up from a single computer to thousands, each offering local computation and storage.
Hadoop enables an ecosystem of open source software to deploy and parse huge data sets. Hadoops distributed nature is designed to deliver high availability and handle failures of servers and its components at application layer. Hadoop uses cluster of servers to analyze data in parallel. It can handle both structured and unstructured data.
Key Benefits
Cloud Native: Designed from the ground up for “born in the cloud” workloads, Ampere Altra can deliver much higher performance over its x86 peers.
Consistency and Predictability: Ampere Altra processors that are designed for cloud native usage, provide consistent and predictable performance of Hadoop solutions and bursting workloads.
Scalable: With an innovative scale-out architecture, Ampere Altra processors have a high core count with compelling single-threaded performance. Combined with consistent frequencies for all cores, Ampere processors make big data workloads scale up and scale out efficiently.
Power Efficient: Industry-leading energy efficiency allows Ampere Altra processors to hit competitive levels of raw performance while consuming much lower power than the competition.
Here at Ampere we've built an extensive infrastructure focused on Continuous Integration, Delivery, and Regression (called CIDR).
Read More About CIDR
Our testing runs 24/7/365 in our regression infrastructure.
Basic Functional Test
Results are categorized as either 'Verified' or 'Unverified'.
Know More
Test and build infrastructure can encounter complexities or unexpected speed bumps. Known incidents and their resolutions will be documented where applicable.
DockerHub Introduces Image Pull Limits (2020.11)
Date,Platform and OS details of verified test results are displayed on hover bubble.
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