As applications continue to evolve, the demand for greater computing power and its availability to provide users with immediate service is continually being challenged. Today’s applications require continuous improvement of computing resources (disk space, processing power, memory). Although supercomputers have been able to provide high performance, they are expensive to buy, expensive to run and difficult to upgrade. More importantly they cannot easily scale. A natural next generation solution to improving the processing power and memory is to sync multiple processors together to work jointly on a single task. Enter cluster computing.
Cluster Computing supports High Performance Distributed Computing environments applying parallel and/or distributed computing techniques to solve computationally intensive applications across networks of computers. At airisDATA, we apply knowledge learned over years of focused cluster building in real-world Fortune 500 clients, startups, sandboxes and our in-house advanced lab cluster, “Organon”. Our staff has decades of experience utilizing the latest tools and techniques to optimize your investments. We focus on building and optimizing your resources via best practices in design, architecture, setup and configuration of all the assets in your cluster. We work closely with Hortonworks, Cloudera and Databricks to ensure you are running securely and at scale at the minimum resource outlay. We will ensure you are best utilizing your existing assets, while growing new advanced analytics services.
At airisDATA, we utilize the best of breed of open source supported big data software, servers, libraries and platforms. Our Data Scientists are constantly working on the latest machine learning algorithms in Spark MLlib, H20 and other libraries. We accelerate data pipelines with Spark, Sqoop, Kafka, Flume, Spring XD, CDAP, NIFI, H2O, Titan, Cassandra, Neo4J, Cassandra, Zookeeper and other big data tools.
Our biggest asset is our knowledgeable leaders that educate and give back to the community through workshops, meetups, blog posts, white papers and Github. We have a highly experienced team of administrators, data scientists and data engineers constantly working on best practices in our advanced in-house lab, “Organon”.
