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It ensures that the data used in analysis or modeling is comprehensive and comprehensive. Integration also helps avoid duplication and redundancy of data, providing a comprehensive view of the information. EDA provides insights into the data distribution and informs the selection of appropriate preprocessing techniques.
The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWERBI 1. Section 2: Explanation of the ETL diagram for the project. Section 4: Reporting data for the project insights. ETL ARCHITECTURE DIAGRAM ETL stands for Extract, Transform, Load.
Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Warehousing: Amazon Redshift, Google BigQuery, etc.
I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity. I would perform exploratorydataanalysis to understand the distribution of customer transactions and identify potential segments.
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