WWT helps retailers unsilo data sources for insights that improve the brand experience, cement customer loyalty and boost ROI. See how in this infographic.
This white paper explores the FlexPod Select architecture for Hadoop versus JBOD (“Just a Bunch of Disks”) architecture from both a technical and financial perspective.
Software designed to capture and analyze big data can help your team quickly respond to new challenges and improve processes throughout your operations. Today, many organizations are looking to SAP HANA® to analyze data in real time. This white paper discuses the efficiencies of the SAP HANA® platform and how WWT can help with your deployment decisions.
Sensors provide utility companies with a tremendous amount of information, but a traditional approach to analytics often prevents them from making the most of it. Watch our on-demand webinar to explore the use of predictive analytics to schedule machine maintenance, cluster alarm types and identify downtime.
Healthcare organizations are using Big Data analytics, such as non-linear, multivariate predictive analytic models, and new Big Data technologies like SAP HANA® to improve patient care and clinical outcomes,reduce labor costs without sacrificing outcomes, reduce costs with bill review efficiencies and expand more strategically.
The power of big data lies in creating a complete view of critical business issues. The depth of insight depends on bringing together structured and unstructured data in a timely fashion from sources internal and external to the enterprise. Advanced analytics can then tap this data pool to unlock the key insights that drive significant business value.
By bringing technologies like Hadoop and in-memory databases into the data ecosystem, financial institutions can get more from their analytics practices. In particular, three new technologies have emerged as key enablers in consumer finance.
When agencies build a unified data platform and apply advanced analytics they begin seeing business value across their organizations. In particular, four business use cases have emerged for big data analytics in transportation.
In conjunction with our partners, WWT has integrated DataStax Enterprise on HP Moonshot to provide business efficiencies to customers with a simple, scalable infrastructure.
With Hadoop clusters growing faster than hardware can be procured, WWT focuses on a stamp out build that is scalable and repeatable for the future.
In this practical guide, we take an in-depth look at the challenges, use cases, architectural implications, technologies and strategies that must be considered for a successful big data implementation.
This Buyer’s Guide presents a series of guidelines that you can use when searching for the essential Hadoop infrastructure that will be sustaining your organization for years to come.