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Ingested Tokyo Olympic data into Azure Data Lake using Azure Data Factory. Enhanced data quality with Apache Spark on Azure Databricks. Optimized SQL queries on Synapse Analytics, reducing execution time. Developed engaging Power BI dashboards, boosting user engagement creating KPI's with DAX.

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apache-spark azure azuredatabricks azuredatafactory azuredatalakegen2 azuresynapse dashboard dataana dataengineering python

tokyoolympicdataanalytics-azure's Introduction

This project revolves around the seamless integration of various Azure services for a comprehensive data engineering and analytics pipeline on the Tokyo Olympic data. It covers data ingestion into Azure Data Lake using Azure Data Factory, data quality enhancement with Apache Spark on Azure Databricks, SQL query optimization on Synapse Analytics for improved performance, and the development of engaging Power BI dashboards enriched with key performance indicators (KPIs) using DAX.

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