Advanced Multi-Access Memory for Big Data Analytics
Advance Memory Architecture using FPGA
(Sprache: Englisch)
Driven by specialized analytics systems and software, big data analytics can point the way to various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive...
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Driven by specialized analytics systems and software, big data analytics can point the way to various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages over rivals. Big data analytics applications enable data scientists, predictive modelers, statisticians and other analytics professionals to analyze growing volumes of structured transaction data, plus other forms of data that are often left untapped by conventional business intelligence (BI) and analytics programs. That encompasses a mix of semi-structured and unstructured data -- for example, internet clickstream data, web server logs, social media content, text from customer emails and survey responses, mobile-phone call-detail records and machine data captured by sensors connected to the internet of things.
Autoren-Porträt von M. Komala, K. R. Nataraj, K. R. Rekha
Komala, M.Dr. M. Komala is Associate Professor at Department of Electronics and Communication Engineering, SJB Institute of Technology, Bangalore. She has 14 years of teaching experience with few industry interactions. Dr.K.R. Nataraj is Professor and Head, Department of Electronics and Communication Engineering, SJBIT. Dr.K.R. Rekha is Professor at SJBIT.
Bibliographische Angaben
- Autoren: M. Komala , K. R. Nataraj , K. R. Rekha
- 2018, 152 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139882109
- ISBN-13: 9786139882106
Sprache:
Englisch
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