DATA ENGINEERING

Build the foundation for data that can power AI.

Rackspace Data Engineering modernizes databases, analytics and data platforms into governed, connected foundations, then operates them 24x7x365. Put trusted data to work across reporting, analytics and AI, with the quality, access and controls each use case requires.

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AI requires data that is connected, governed and usable

Enterprise data is usually spread across databases, applications and platforms, often with different definitions, quality standards and access controls. This creates friction when teams need to connect, analyze and use information across the business. Analytics and AI can expose those gaps quickly. Data Engineering brings that information together with the pipelines, governance and quality controls needed to make it usable across reporting, analytics, applications and AI.

Data Solutions

Modernize your data environment and operate with confidence

Choose the modernization services your data environment needs, then extend into ongoing operations for the platforms, pipelines and databases you rely on. Each service can stand alone or connect with the others as your requirements evolve.

Analytics modernization

Move legacy data warehouse and BI environments to modern cloud analytics platforms. Migrate and validate reporting, analytics and data models while improving scalability and access to data.

Database modernization

Move self-managed, on-premises databases to cloud-native platforms designed for performance, scalability and cost efficiency. Rackspace handles assessment, conversion, migration and cutover.

Cloud-native data platform build

Build a new cloud-native data platform that consolidates sources, supports governance and scales with reporting, analytics and AI requirements.

AI-ready data foundations

Prepare, govern and connect enterprise data so AI models and agents can use it securely, with pipelines, access controls and quality checks built for production.

Data integration and pipelines

Connect data across applications, clouds and on-premises systems with reliable pipelines that keep reporting, analytics and AI current.

Data governance and quality

Put policies, lineage and quality controls in place so teams can trust the data behind every report, model and decision.

Enterprise ai cloud

From governed data to AI in production

Data Engineering builds and operates the data layer that sits between governed infrastructure and Enterprise AI, preparing and managing the foundations analytics and AI rely on. Forward Deployed Engineers then build AI solutions on that foundation, and Rackspace runs infrastructure, data and AI under one operating model, while you keep the choice to use the technologies you already run.

The technology can change. The environment can evolve. Rackspace stays accountable.

Build on data that is trusted, available and ready for the work ahead

One trusted view

Consolidate fragmented sources with consistent definitions and governance so teams across the business can work from the same information.

Faster access to insight

Give teams self-service reporting and analytics so they can explore data and answer business questions without waiting on lengthy data preparation.

Data ready for AI

Build pipelines, quality controls and data products that can reliably feed analytics, models and agents in production.

Governance built into the platform

Apply lineage, residency, access controls and auditability across the data platform to support regulatory and business requirements.

Industries

Trusted expertise for industries where the stakes are the highest

Healthcare

Epic and clinical platforms kept available, patient data protected, and a governed foundation ready to move AI from pilot to the point of care.

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Financial services

Core banking and payments modernized with proven recovery, data control and the audit evidence regulators expect, so AI can follow safely.

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Public sector

Sovereign, accredited cloud for citizen services, run by cleared teams, with the control to modernize today and adopt AI when you’re ready.

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Explore Industries

We saw Rackspace Technology as the right partner for us from the start. Our team had a collective goal of producing products with us as opposed to acting as a blunt instrument where we just point and tell them exactly what to do. From its level of expertise, flexibility and professionalism through to its documentation, we knew we made the right choice.

Louis Chapman

Senior Director, Product Operations, Moody’s Analytics

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Additional services

Connect data engineering across your technology environment

Data engineering connects with the infrastructure, platforms and AI capabilities that depend on enterprise data.

Enterprise AI Cloud

Forward Deployed Engineers build AI solutions on the governed data foundations created through data engineering.

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Platform Automation

Self-service, infrastructure as code and policy guardrails support consistent deployment and operation of the platforms data teams rely on.

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Managed Operations

Managed operations support the infrastructure and applications that data platforms connect to and run on.

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FAQ

Frequently asked questions

What is Rackspace Data Engineering?

Rackspace Data Engineering includes services to modernize analytics, databases and data platforms, along with ongoing operations for data and AI platforms and databases. These services address data integration, quality, governance and operations to support reporting, analytics and AI..

Which platforms does Rackspace data engineering support?

Rackspace supports data and analytics services across AWS, Microsoft Azure and Google Cloud, along with Rackspace Private Cloud for workloads with specific control or residency requirements. We also support relational and NoSQL databases across cloud and on-premises environments.

Does Rackspace operate the data platforms it builds?

Yes. Modernized data platforms and databases can move into ongoing Rackspace operations, including 24x7x365 monitoring, data quality alerting, patching, backup and performance management. Rackspace can also operate existing platforms it did not build.

Does Rackspace offer managed database services?

Yes. Rackspace provides managed relational and NoSQL database services, including database as a service, with availability, backup, patching and performance tuning managed by Rackspace.

What does AI-ready data mean?

AI-ready data is consistently defined, quality-controlled, documented and governed for access and lineage, with pipelines that can deliver the data models and agents need. The specific requirements for quality, latency, context and access depend on the AI use case.

How does Rackspace handle data governance for regulated industries?

Rackspace can incorporate cataloging, lineage, quality rules, access policies and auditability into the data platform. Data can also remain in private or sovereign environments when residency or control requirements call for it.

Get your data ready for Enterprise AI in production

Over the course of a two-hour session, Rackspace data architects can assess your current data environment, identify what analytics and AI require and map the priorities for moving forward.