Whitepapers
Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry. 
This paper describes an experiment in which Concertio and Mellanox teamed up for accelerating a specific networking use-case running on Mellanox’s ConnectX-3 Pro Ethernet cards. The results showed that the settings discovered automatically by the AI-powered Optimizer Studio tool outperformed the best settings found through manual tuning, and were discovered faster. Read more…
During the last 25 years, manufacturers have dramatically advanced capabilities in product design and manufacturing quality. Today, the industry has turned its focus to improving customer experiences, but organizations will need to gain new skills in order to capture this value. Read more…
Some of the biggest challenges in useful machine learning, deep learning and artificial intelligence projects stem from the fact that learning systems exist in the middle of a wider workflow. Read more…
Digital transformation is now essential for corporate survival. The most significant digitization strategy over the past three years is the Internet of Things. but how does the IoT promise to drive such value? Read more…
Some of the biggest challenges in useful machine learning, deep learning and artificial intelligence projects stem from the fact that learning systems exist in the middle of a wider workflow. Read more…
Only with a rich and interactive semantic layer can the data and analytics stack to deliver true on-demand access to data, answers and insights – weaving data together from across the enterprise into an information fabric. Read more…
Many enterprises have embraced “open source first” strategies with the requirement that there be robust commercial support behind it. But how far can enterprises take this strategy? The strongest proponents and pioneers of open source software including Google, Facebook, and Netflix continue to also use vendor-specific technology solutions that deliver unique value. Read more…
Organizations with performance sensitive or large stores of unstructured data have a new option to consider. In most cases these organizations have a compute cluster already established for processing. WekaIO’s proposition is to simplify data storage by making it a scalable application that leverages the compute cluster to provide storage services. Read more…
This technical white paper explains the differences between what cloud provider auto-scaling was designed to support vs. what is required to scale cloud resources with Hadoop, Spark and big data workloads. Read more…
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