WebMar 31, 2024 · The best data engineering projects showcase the end-to-end data process, from exploratory data analysis (EDA) and data cleaning to data modeling and visualization. In these projects, make sure that … WebETL-PySpark. The goal of this project is to do some ETL (Extract, Transform and Load) with the Spark Python API and Hadoop Distributed File System ().Working with CSV's files from HiggsTwitter dataset we'll do :. Convert CSV's dataframes to Apache Parquet files.; Use Spark SQL using DataFrames API and SQL language.; Some performance testing …
business-intelligence · GitHub Topics · GitHub
WebAs a student, it's a place where you can get exposure for your project and discover other student repositories in need of collaborators and maintainers. Benefit Learn the skills you need to contribute to open … WebDec 26, 2024 · Issues. Pull requests. This repository contains project for New York Police Data - Arrests data, Vehicle Collisions which help us learn data integration techniques using Talend and present important visualizations on Microsoft PowerBI and Tableau. sql-server data-analysis tableau talend-dataintegration newyork-data. Updated on May 7, 2024. elmcroft of carrollwood tampa fl
Learn ETL: Best Online Courses and Resources - Career Karma
WebCombine data of different regions (different csv) into one single table, include only the required regions. Clean-up the table to include the required columns. Use the associated JSON to map the category for each region into the combined table. Any other data clean-up and preparation as required. MongoDb to be used to load the extracted and transformed … Web1 day ago · Data Engineering Projects for Beginners. If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. … WebAug 1, 2024 · Once you have identified your datasets, perform ETL on the data. Make sure to plan and document the following: The sources of data that you will extract from. The type of transformation needed for this data (cleaning, joining, filtering, aggregating, etc). The type of final production database to load the data into (relational or non-relational). ford e350 shuttle bus weight