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Data Aggregation: Definition, Process, Tools, and Examples

Knowledge Hut

The process of merging and summarizing data from various sources in order to generate insightful conclusions is known as data aggregation. The purpose of data aggregation is to make it easier to analyze and interpret large amounts of data. This can be done manually or with a data cleansing tool.

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ELT Explained: What You Need to Know

Ascend.io

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.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

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 data aggregation.