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  1. Hace 5 días · The term Big data, represents a vaguely defined term that describes a large amount of complex data sets and, at the same time, describes advanced technology for data collection and storage . According to McKinsey Global Institute “Big Data refers to data sets whose size is beyond the capacity of typical database software tools to capture, store, manage and analyze” [ 6 ].

  2. Hace 4 días · Find breakthrough research in Journal of Big Data, an open access journal with 8.1 Impact Factor and 2.5 million annual downloads.

  3. Hace 4 días · Las Big Data herramientas que aprenderás : Python, R, VirtualBox, Spark, MongoDB, Hadoop, Jupyter, Tensorflow, Qlik, Tableau, Amazon AWS, Scikit-learn. El Master en Big Data de IMF, codesarrollado con la multinacional Indra Sistemas, proporciona una visión global de las tecnologías Big Data y su uso.

  4. Hace 5 días · Frontiers in Big Data. doi 10.3389/fdata.2024.1359906. This innovative journal focuses on the power of big data - its role in machine learning, AI, and data mining, and its practical application from cybersecurity to climate science and public health.

  5. Hace 1 día · De hecho, podemos afirmar que el Smart Data es una evolución del Big Data, que ha sido posible gracias al desarrollo de los algoritmos. El Big Data es una tecnología capaz de tratar miles o millones de datos de forma rápida, pero adolece de precisión. Esta es aportada por el Smart Data, que se encarga de examinar y filtrar los datos para ...

  6. Hace 3 días · Big data analytics has had a significant impact on various industries as a technology that is still in its infancy. The engineering sector is no exception, and big data analytics is becoming increasingly important in improving engineering costs' accuracy and cost control.

  7. Hace 5 días · to working with large-scale data sets. This review brings the following contributions to the scientific community: • An overview of the basic structure of ELM and the variants with parallel and dis-tributed computing to solve problems with large-scale data sets. • A discussion of advances in solving SLE using parallel and distributed ...

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