A Blog on Big Data Analytics and Techology News
Data management would remain a differentiating business practice in the next several decades. Business competitors will be pressured to contend with one another based on their data management strategies when they have exhausted all the other strategic advantages. The growth, rise, and enormous potential of advanced data technologies now rendered data management as one of the most intimidating differentiators.
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Women are starting to gain a foothold in the data science world today with several influential women becoming data scientists. But there are still not enough, which is why having highly influential women in the field is an epoch-making step in the right direction. Let’s look up to a couple of statistics.
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The Big Data, Data Science, Data Lake triptych has generated the hope of new business opportunities, based on better exploitation of the supposed value of the data.
This new Eldorado inspired by technologies created by the GAFA is often perceived as a purely technical solution. However, it seems necessary to address the essential contributions of enterprise architecture in the valuation and success of a Data Lake through three distinct chapters:
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The current difficulties of the data analysis do not come as much from the software, as from the human-machine interface still too primitive, and especially of the painful keyboard shortcut “Alt-Tab” (allowing on a screen, to switch from one display to another).
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In order to gain a competitive advantage, all employers from all economic sectors are concerned by Big Data and mainly
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With the development of connectivity on many objects and devices, the emergence of new communication protocols, the arrival on the
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Data Mining is an essential component of Big Data technologies and Big Data analysis techniques. Generally, the term Data Mining
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Responsible for the management, analysis and exploitation of massive data within a company, Data Scientist is the evolution of the
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Fresh information on data mining is provided each day by special data analysis websites, blogs and professional organizations. You can
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