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The process of merging and summarizing data from various sources in order to generate insightful conclusions is known as dataaggregation. The purpose of dataaggregation is to make it easier to analyze and interpret large amounts of data. This can be done manually or with a datacleansing tool.
The transformation is governed by predefined rules that dictate how the data should be altered to fit the requirements of the target data store. This process can encompass a wide range of activities, each aiming to enhance the data’s usability and relevance. This leads to faster insights and decision-making.
This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. to accumulate data over a given period for better analysis. Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time dataaggregation.
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