Databases Reference
In-Depth Information
enables analytics on Big Data using the Aster SQL/MapReduce framework and Aster
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Path, a preb-
uilt analytic function that discovers patter
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s in rows of sequential data.
By unlocking new data-driven insights, while gaining substantial query performance increases,
Aurora will enjoy both improved performance and a lower total cost of ownership. Because the Teradata
Aster platform is built on the patented SQL/MapReduce framework, the Aurora IT team was able to
achieve a “paradigm shift” of being able to “break apart” a particular problem into many smaller tasks
and operate them across a cluster on a massively parallel processing platform. Brown explains:
The total cost of ownership was our initial reason for moving forward with the Teradata Aster plat-
form. And that was a compelling story for our financially minded decision makers to say, “Well, we
can actually do more with less. We can actually ready ourselves for Big Data analytics.”
Results: eliminating the “Data Trap”
Working with Teradata Aster, Aurora was able to improve the patient experience by deeply under-
standing the interactions of patients and medical providers, test facilities, and hospitals to identify
patterns that lead to positive outcomes, and incorporate the findings into business processes without
significant complexity or facing a steep learning curve. Results include:
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Instant real-time decisions, using predictions from the master patient index for whether a patient
should stay in the hospital or be discharged, improving outcomes and care.
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Potential savings of up to $60 million that Aurora now pays in losses due to patient readmissions.
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Lower total cost of ownership by using a classic enterprise data warehouse on top of Teradata
Aster.
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Quick implementation with no large learning curve between SQL and SQL/MapReduce.
Aurora is planning additional improvements to the continuum of patient care, through electronic
medical records that follow the patient, and are updated no matter what provider they see, even when
out of network. Brown states:
We're looking at going back to how we integrate the decisions that come off of this platform and
streaming that into our electronic health record in near real time. What we found most compelling
about Big Data and the solution that Teradata Aster has in place is the ability for us to leverage
existing talent into this discovery platform immediately. There isn't much of a learning curve from
SQL to SQL/MapReduce. It is a bit of a mind shift but it's one that's not difficult to overcome.
Why aster?
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Advanced analytics execution and data in one location.
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Provides 360° view of patient treatment and care given.
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Minimal movement of data.
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Fast access to information Aurora needs to run its business.
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Ability to analyze massive amounts of internally generated data.
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Information at the speed of thought ersus the speed of the infrastructure.
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Elimination of redundant environments, tasks, and data.
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Significant cost savings.
