Data Modernization

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 doWhat it means for our customers
Identify the customer’s business, data, application, and operational requirementsA data analysis strategy and architecture that is specific to the customer’s objectives.
Design target database, transaction, and infrastructure solutions and report gapsDetailed architectural plan to create or validate their data analytics strategy.
Complex data migration through a reliable data pipeline and data integration pointsReduced migration risk with reliable data ingestion and endpoints.
Design and implementation of data storesData modeling, persistence, and processing based on their requirements.
Configuration of security, role-based access control, disaster recovery, and backupsOptimization and increased security of their data analytics platform

Capabilities

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. ​