Contact Us

Sergey Sverchkov
Software Architect
sergey.svaltoros.com
(650) 395-7002

Headquarters
830 Stewart Dr., Suite 119
Sunnyvale, CA 94085

Speed up Big Data Analysis with Hadoop-based Distributed Processing

A correctly setup Hadoop cluster can analyze a human genome in hours, while a poorly optimized one will take days and use twice as many nodes. Although Hadoop is a free product, potential issues are many. Even a slight error in your algorithm can introduce significant inaccuracies into end results. Other common pitfalls include peculiarities of different OS and distributions, problems with assembling clusters, virtualization, etc.


Scale to petabytes of data and hundreds of nodes

Serving leading technology vendors, such as Joyent, Couchbase, RightScale, and others, Altoros helps to implement scalable Hadoop-based solutions for data mining, analysis, visualization, etc.

Build and fine-tune large Hadoop clusters Assemble, deploy, test, and optimize efficient Hadoop clusters of any size and complexity
Create advanced algorithms Design algorithms for distributed computing of custom processes
Achieve endless scalability Build distributed systems that can easily scale to petabytes of data and hundreds of nodes
Implement process automation Automate deployment, administration, and performance monitoring of large Hadoop clusters

Hadoop-based solutions from cluster monitoring to machine learning:

View all featured Hadoop projects

  • Building complex systems since 2001, Altoros has proven expertise in Hadoop-based data processing tools, such as Mahout, Hive, Pig, Chukwa, Oozie, ZooKeeper, etc.
  • 20+ successfully deployed Hadoop clusters, the largest one of them consists of 400+ nodes.
  • You’ll get access to 100+ professional data scientists who work for the most reputable universities in Eastern Europe. Our engineers can work both onsite and offshore according to your project needs.
  • Our R&D engineers performed multiple benchmark studies of Hadoop implementations, NoSQL databases, and cloud systems published by CIO.com, NetworkWorld, ComputerWorld, TechWorld, and other industry magazines.