Successful big data implementations depend on diverse skills, including those of developers, administrators, and cloud and big data architects. But demand for such experts exceeds supply. Instead, turn to our big data engineers, who can guide you through the entire data transformation lifecycle — from planning, architecture and development, to support and operation of the platform and IaaS.
We have successfully implemented end-to-end big data Hadoop-based solutions for some of the world’s largest enterprises.
We’re the hosting provider for more than half of the Fortune 100, with 3,000+ cloud experts and 15+ years of hosting experience.
We provide big data architecture and application specifications based on your application and operational requirements.
Development of data ingestion applications from two sources, using the technology stack applicable to the platform of choice: Hortonworks® HDP components or AWS/Azure ® native APIs.
Establish data interfaces with external endpoints like visualization/BI tools, ETL tools and external databases or file stores.
Design and implementation of data stores such as HBase™, Hive™, HDFS, HAWQ™ and Redshift for big data storage.
Configuration of perimeter security, role-based access control (RBAC), encryption, disaster recovery and backups on the target platform.
The big data consulting engagement culminates with code handover, deployment to target environments and runbooks for operations and support.
Once you get your business to any kind of scale, you need a partner that helps you manage your bigger growth, and has specialization that’s not just commodity. With Rackspace, not only will you get the same performance multiplying, but you’ll get advice and counseling and a whole portion of your business just taken care of.
Dane Atkinson
CEO, SumAll