This article looks at how the logic of big data analytics, which promotes an aura of unchallenged objectivity to the algorithmic analysis of quantitative data, preempts individuals' ability to self-define and closes off any opportunity for those inferences to be challenged or resisted. We argue th...
In the recent years the problems of using generic storage (i.e., relational) techniques for very specific applications have been detected and outlined and, as a consequence, some alternatives to Relational DBMSs (e.g., HBase) have bloomed. Most of these alternatives sit on the cloud and be...
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December 19, 2024 Top 6 Vonage Alternatives & Competitors for 2025 December 19, 2024 Join over 12,000 Data Insider readers and stay up to date with the latest trends and news on business intelligence and data. By checking this box you agree to our Terms of Use and Privacy Policy....
Scaling data preprocessing techniques to deal with big data Another remarkable outcome derived from the previous analysis of existing Big Data preprocessing techniques is that most of the effort has been devoted to the development of FS methods, and even there are some data preprocessing families in...
Subsequently, the ARAS method is utilized to rank the alternatives. The analysis identifies "Ease of Use" as the criterion with the highest importance weight (0.1464), while "Data Workflow" emerges as the least significant criterion (0.1378). Based on the highest utility degree...
Big data technologies and practices are moving quickly. Here's what you need to know to stay ahead of the game.
An Overview of Tableau andTableau Alternatives Tableau stands as a widely adopted and favored choice among businesses for its remarkable capabilities in data visualization and business intelligence. Introduced in 2003, Tableau has played a pivotal role in accelerating analysis processes and fostering data...
Apache Spark is another great big data analysis tool in the list that offers more than 80 high-end operators to assist in order to design parallel apps. Spark is used at different organizations to analyze large datasets. The powerful processing engine allows Spark to quickly process data in lar...
There are several alternatives to consider when assessing business intelligence tools. On the surface, they may appear to be identical in many respects, but in reality, they are vastly different. Many technologies are solely focused on visualization, lack the capacity to manage big datasets pulled ...