Data analytics technologies make valuable information accessible across your organization. They introduce new architectural patterns, application models and operational requirements within a rapidly evolving technical ecosystem, all of which create challenges in designing and configuring a reliable and scalable analytics environment. Rackspace helps customers transform how they collect, process and store data, while helping to ensure proper system integration and enabling their organization to make data-driven decisions.
|What we do||What it means for our customers|
|Identify the customer's business, data, application, and operational requirements||A data analysis strategy and architecture that is specific to the customer's objectives|
|Design target database, transaction, and infrastructure solutions and report gaps||Detailed architectural plan to create or validate their data analytics strategy|
|Complex data migration through a reliable data pipeline and data integration points||Reduced migration risk with reliable data ingestion and endpoints|
|Design and implementation of data stores||Data modeling, persistence, and processing based on their requirements|
|Configuration of security, role-based access control, disaster recovery, and backups||Optimization and increased security of their data analytics platform|
Modern Data Architecture Assessment
Rackspace's cloud-agnostic team assesses the customer's current systems, identifies their business objectives and designs their ideal future-state reference data architecture. Customers receive a roadmap that accounts for future data management, analytics and AI/machine learning workloads.
Big Data Analytics Accelerator
An end-to-end solution that implements a working big data, NoSQL or cloud analytics platform that includes all the key facets of a modern data platform. The Rackspace data modernization team delivers big data application development and integration services for the entire project lifecycle; from planning, design and development to support and operations of the platform and underlying IaaS.