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A Hybrid Approach to Big Data
We consider a scenario where a data science team needs to analyze a dataset that resides within an object storage service on a public cloud. This is a common scenario when an externally exposed service is deployed on a public cloud and telemetry data is stored for future analysis. In this scenario, we make use of a specific set of technologies which are representative of those that are typically adopted as part of big data and cloud computing deployment paradigms. We demonstrate how you can us

All IT managers understand the critical role they play in ensuring that the enterprise computing infrastructure under their control is effective in meeting the business goals of the organization. Indeed, staying competitive in the rapidly evolving world of today requires that businesses take a proactive mindset towards leveraging their IT investments to deliver key insights through big data initiatives.

The adoption of this mentality is often reflected by the inclusion of dedicated data science teams capable of driving these projects. These groups apply advanced analytical algorithms and artificial intelligence to large datasets with a goal of deriving competitive advantages for the organization.

The specific implementations vary and may impact a variety of business processes such as product development, marketing initiatives, sales management, etc. However, as the adoption of these practices continues to increase, IT teams need to be prepared to effectively support them. While on the surface it may seem that big data workloads are simply another application to deploy and manage, in practice they entail multiple challenges.

In this paper, we demonstrate the ability to implement a big data use case in practice using a hybrid cloud deployment strategy. We provide an overview of our sample scenario, followed by a detailed deployment walk through that enables users to easily replicate the scenario in their own environments. By the end of this paper, readers should have a clear understanding of how big data use cases can be implemented using the underlying technologies covered and how the adoption of hybrid cloud computing environments enables IT leaders to successfully meet the needs of these initiatives within their organizations.