In this video, Eyal Gutkind from Mellanox presents: Hadoop Acceleration with RDMA. The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
Industry Perspectives
How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints
In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
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Presto: Open Source for the Enterprise
Presto addresses a real need for a portable SQL on Hadoop tool. It is architected from the ground up for high performance interactive query processing. Open source is a fount of continual innovation, especially with regard to big data. In addition, there are strong tools that come with specific Hadoop distributions. The fact is that organizations will deploy multiple tools. For organizations moving toward a Unified Data Architecture, the rationale for adopting Presto is even stronger.
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