In this blog, we will be discussing the top 10 big data analytics tools (in no particular order) that are being leveraged by data scientists. This analysis of big data is done using some tools that we reckon as big data analytics tools. Businesses analyze and make use of these data to gain better knowledge about their customers.īig Data Analyticsis a process that enables data scientists to make something out of the stack of big data generated. These huge amounts of structured, semi-structured, unstructured data are referred to as big data.
The number is expected to increase in the coming years as we witness an expansion of technologies. The number of internet users has reached 4.5 billion, nearly 63% (according to our calculation) of the total world population. In the eighth edition of the report, it shows that a solitary internet minute has over 400,000 hours of video streaming on Netflix, 500 hours of video streamed by users on Youtube, and almost 42 million messages shared through WhatsApp. Everything we do online generates some sort of data.Ī report series, Data Never Sleeps, by DOMO, covers the amount of data being generated every minute. The increased use of technology in the past few years has also led to an increase in the amounts of data being generated per minute.
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