Category - Big Data

Articles that center around various technologies related to the processing of Big Data and major information technology tendencies and innovations that enable it.

1
Fog Computing vs. Cloud Computing for IoT Projects
2
Six Predictions for AI, Big Data and Analytics in 2018
3
The Top 8 Trends in Information Technologies in 2018
4
10 Best Big Data Visualization Tools
5
Making Custom Data Visualization Software
6
Seven Big Data Trends to Watch in 2017

Fog Computing vs. Cloud Computing for IoT Projects

By 2020, there will be 30 billion IoT devices worldwide, and in 2025, the number will exceed 75 billion connected things, according to Statista. All these devices will produce huge amounts of data that will have to be processed quickly and in a sustainable way. To meet the growing demand for IoT solutions, fog computing comes into action on par with cloud computing. Fog is even better at some things.

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Six Predictions for AI, Big Data and Analytics in 2018

In the near future, the so-called “intelligent enterprise” will fully capture the global market. Many companies now understand that only the intelligent enterprise will be able to anticipate technological and market challenges and make a profit. Those who are not going to follow the digital transformation will suffer financially and eventually fall behind their competitors.  

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10 Best Big Data Visualization Tools

The amount of information people face in their everyday life and the volume of data they need to process at work have recently soared. By 2025, the data volume is predicted to reach staggering 163 ZB — ten times what people generate now. When information processing becomes an overreach for the human brain, tools that convert chaotic and patternless data into valuable insights come to the rescue. These tools are Big Data visualization software.

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Making Custom Data Visualization Software

Recently, the volume of information that the human brain has to process has been ratcheting up, and 90% of existing information has been created since 2012. Because of continuous technological development, the volume of information is expected to morph into an information tsunami, and to handle it, numerous data processing software has been developed.

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