Rackspace Technology launches new offering to activate DataOps
Rackspace Technology has released Rackspace DataOps, stating that the offering expands on Rackspace Elastic Engineering and activates data for the modern enterprise.
Customers can leverage process maturity provided by Rackspace Technology, agile delivery and Fanatical Experience to accelerate delivery of data to where it needs to go - be it business leaders, data scientists, employees, partners or applications, the company states.
With Rackspace Elastic Engineering for Data, the foundational service of Rackspace DataOps, the company is able to provide predictable delivery and change management of data, data models and related artifacts.
Rackspace Elastic Engineering for Data provides access to a pod of data specialists via a modern managed service model. It is designed to improve operational efficiency and enables innovation by offering key features and benefits.
This includes the 'do with' approach, a consistent team, flexible pricing, multi-faceted skill sets and ongoing innovation.
'Do with' approach: The Rackspace Elastic Engineering for Data pod works in an agile, sprint-based model right alongside a business team.
Consistent team: No matter which tier of hours used each month, customers will always work with the same pod, Rackspace states.
Flexible, tiered pricing: Businesses are able to purchase fractional access to their pod via hours-based tiers and scale up and down monthly should business needs change.
Multi-faceted skill sets: The Rackspace Elastic Engineering Pod for Data consists of an engagement manager, data architects and engineers working together as one unit.
Ongoing innovation: Rackspace Technology leverages cloud platforms tools and frameworks to deliver improvement, enablement and transformation, according to Rackspace.
Finally, data pipeline management provides 24/7 data pipeline monitoring, management and support as an optional add-on service for Rackspace Elastic Engineering for Data.
In addition to providing greater value from data, Rackspace DataOps enables advanced AI and machine learning capabilities that open the door to market differentiating innovation, prescriptive insights, intelligent applications, and data monetisation.
Rackspace states that delivering the right data to the right application at the right moment is foundational to driving innovation, including establishing new business models and revenue streams, engaging with customers, gaining deep insights into supply chains, and optimising workflows.
According to Matt Aslett, research director for 451 Research, part of S-P Global Market Intelligence, "83% of respondents to 451 Research's Voice of the Enterprise (VotE): Data - Analytics, Data Management - Analytics 2020 survey stated that their company is at some stage of investment in DataOps, with more than a third having defined and established a DataOps strategy."
Investing in DataOps accelerates the design, development, and deployment of new data streams into the data architecture so teams can rapidly implement and frequently update solutions based on evolving business needs, Rackspace states, hence the launch of Rackspace DataOps.
Rackspace Technology CTO solutions Jeff De Verter says, "“Rackspace DataOps Managed Services provide an agile and automated, process-oriented methodology combined with world-class support to improve the quality and reduce the cycle time of data analytics.
“This is important for our customers because it drives greater value from data by empowering business leaders with the possibilities of both live and predictive analytics from across their organisation.