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Big Data Techniques for Analyzing Large Data Sets – Infographic

Big Data Techniques for Analyzing Large Data Sets – Infographic | Web 2.0 for juandoming | Scoop.it

Until the emergence of “Big Data”, data were mainly treated locally in warehouses of several structured databases. Gradually, these data sources became diversified.

 

Analysts are projecting the future of customer data. Several points of attention are highlighted. While most companies collect, store and analyze data, majority of them are struggling with their big project data and are struggling to meet IT challenges associated with the use of this framework.

 

Newscientis, with Microsoft, released an infographic on how big data techniques seek to gain insight by analyzing large data sets. The proliferation of sources associated with 3V (volume, variety, velocity) have contributed to big data’s recent growth. Data is coming in a growing variety of new and often unstructured forms such as text, video and sensor reading.

By 2020, all the digital data created, replicated and consumed per year will reach 40,000 Exabytes. The connected devices including pocket calculators, personnel computer, mobile phones, servers and mainframes and videogame consoles have contributed more than 10 million instructions per second.


Via Lauren Moss
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Big Data : Vivir en un mar de datos

Big Data : Vivir en un mar de datos | Web 2.0 for juandoming | Scoop.it

El Espacio Fundación Telefónica acogió los días 6, 7 y 8 de noviembre las primeras jornadas “Vivir en un mar de datos”, con mesas redondas y debates de la mano de grandes expertos. 


Via A Petapouca
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Email is BIG Data

Email is the lifeblood of modern business, and with email adding 400 Terabytes each year to global data stores, ignoring it is simply not a strategy. Retention…
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Data, data everywhere: Data in the cloud computing era

Data, data everywhere: Data in the cloud computing era | Web 2.0 for juandoming | Scoop.it
In the second part of our trilogy on the implications of cloud services, we explore the solutions to the problem of proliferating storage.

Via Peter Azzopardi
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