What are the Big Data model challenges in today's field? With a few best practice recommendations and Machine Learning approaches, I will use Knime to show the modeling advantages for Big Data with the following themes:
.Performance: Good data models can help us quickly query the required data and reduce I/O throughput.
.Cost: Good data models can significantly reduce unnecessary data redundancy, reuse computing results, and reduce the storage and computing costs for the big data system.
.Efficiency: Good data models can greatly improve user experience and increase the efficiency of data utilization.
.Quality: Good data models make data statistics more consistent and reduce the possibility of computing errors.
I will also describe tools for Sources, Ingestion, Exploration, Modeling and Machine Learning.
Speaker: Karthikeyan Chinnusamy, Veritas Technologies
Contact:Website: Click to Visit
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