Sentence examples for big data streams to from inspiring English sources

Essentially, I-SDS allows big data streams to be clustered.

These methods enable to find interesting knowledge patterns from big data streams to produce highly relevant and reduced data for further analysis.

Effectively handling the big data stream to store, index, and query the data sources for lateral data processing is among the key challenges being addressed by researchers [25, 26].

In addition, the new methods are required to reduce big data streams at the earliest immediately after data production and its entrance into the big data systems.

In addition, big data streams are needed to be processed online to avoid lateral resource consumption for storage and processing.

The successful PTaaS delivery through this interface is dependent on the veracity analytics needed for correlation of the real-time Big Data streams within a session, in order to assess exercise balance of the senior without any bias due to network quality effects.

The proposed method is generic, and its applicability to other big data streams is discussed.

We haven't yet decided how to regulate these technologies, or who gets to control these big data streams.

However, further efforts are required to reduce the big data streams in terms of velocity and veracity.

The deep learning models are initially developed from certain data and gradually evolve with uncertain data to effectively reduce big data streams.

This strength of the compressed sensing theory enables to detect anomalies in big data streams.