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Mastering the 10 Vs of big data 

Data Science Dojo

Big data is conventionally understood in terms of its scale. This one-dimensional approach, however, runs the risk of simplifying the complexity of big data. In this blog, we discuss the 10 Vs as metrics to gauge the complexity of big data. Big numbers carry the immediate appeal of big data.

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Data Mining for Social Intelligence – Opinion data as a monetizable resource

Dataconomy

The information generated by tapping into the minds of many is driving decisions in both the public and private sector; market. The post Data Mining for Social Intelligence – Opinion data as a monetizable resource appeared first on Dataconomy.

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Data Mining Technology Helps Online Brands Optimize Their Branding

Smart Data Collective

Data mining technology is one of the most effective ways to do this. By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. What is Data Science? Definition: Data Mining vs Data Science.

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Top data science conferences you must attend in 2023

Data Science Dojo

The conference brings together business leaders, data analysts, and technology professionals to discuss the latest trends and innovations in data and analytics, and how they can be applied to drive business success. It is the only sponsor-free, vendor-free, and recruiter-free data science conference℠.

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The evolving role of RDMBS in the age of big data analytics: Unlocking insights for 2023

Data Science Dojo

Organizations must become skilled in navigating vast amounts of data to extract valuable insights and make data-driven decisions in the era of big data analytics. Amidst the buzz surrounding big data technologies, one thing remains constant: the use of Relational Database Management Systems (RDBMS).

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Data analytics

Dataconomy

Data analytics serves as a powerful tool in navigating the vast ocean of information available today. Organizations across industries harness the potential of data analytics to make informed decisions, optimize operations, and stay competitive in the ever-changing marketplace. What is data analytics?