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Should You Let Cbd Gummies Dissolve In Your Mouth [3zvMydQmp0]. Big Data Project : Patent Analysis - IA in Education [3zvMydQmp0]

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Here is an overview of the project architecture and idea: Part 1: Data Collection - Sources: We identified Google Patents, OPS, and UPSTO as our primary sources. - Methods: We used APIs and web scraping techniques to collect data. Part 2: Data Storage - We stored the data in MongoDB Atlas (cloud) and HDFS (on-premise) as Data Lake Solutions. Part 3: Data Transformation - Using the Medallion architecture with Apache Spark: - Bronze Layer: Contains raw data. - Silver Layer: Contains filtered and cleaned data. - Gold Layer: Involves data modeling and the construction of a Data Warehouse (DW) following a star schema with fact and dimension tables. - The Data Warehouse is implemented using PostgreSQL, and we used the ORM pattern with SQLAlchemy (Python) to feed the DW. Part 4: Web Application Development - We developed a web application called E-Patent using Flask, JavaScript, HTML, CSS, and ChartJS for visualization. - Features: Users can perform customized searches on patents and view personalized analyses by selecting specific patents to analyze. - Dashboard: Users have access to a dashboard that provides general analyses of all collected patents (developed with Microsoft Power BI). 🔗 For more details, please feel free to contact : [email protected] #BigData #AI #Education #DataAnalysis #DataScience #WebDevelopment #Flask #Spark #MongoDB #PostgreSQL #PatentAnalysis