Sentence examples for big data implementation from inspiring English sources

Big Data implementation can be done using several tools, but the analytics tools are the most critical in business choice.

From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability, and traceability.

Additionally, it does not require the communication of training patterns, which is a crucial component in realistic big data implementations.

This study was also before the notions of big data implementations, yet researchers were commencing to identify the machine-dimensions of HCI (Anonymous 2008).

The new instances are designed for companies that run large databases and multiple compute nodes in a cluster, or those that are looking for compute power to help run big data implementations.

This would require the cooperation of corporations that are sources of big data through the implementation of an appropriate method.

In order to provide more insights into the effectiveness of each of the platform in the context of big data analytics, specific implementation level details of the widely used k-means clustering algorithm on various platforms are also described in the form pseudocode.

MapReduce [3, 4] is a programming model for implementation of distributed computations of high volume or big data and an execution framework for large-scale data processing on clusters of servers.

Storm does not ship with a machine learning library, but SAMOA, a platform for mining big data streams, currently has implementations for classification and clustering algorithms running on Storm.

Our report identified that, across all sectors of the UK economy, implementation of big data analytics is and will continue to grow within businesses.

Reference architecture has been designed for big data systems based on realised implementation architectures of big data companies (Twitter, LinkedIn etc).