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HashtagCashtag
My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on lambda architecture, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - Apache Kafka for data ingestions, Apache Spark & Spark Streaming for batch & real-time processing, Apache Cassandra f or storage, Flask, Bootstrap and HighCharts f or frontend.
practical-data-engineering reviews and mentions
- Show HN: Hands-On Data Engineering with a Real-Estate Project Guide
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What's your favorite end-to-end tech stack?
Or in a side project: I combined an extensive amount of tools for web-scraping real-estates, uploading them to S3 with MinIO, Spark, and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualizing dashboards with Superset and managing everything with Dagster (blog, github)
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✨ 5 Open Source Data Engineering Projects 🔥
2️⃣ Building a Data Engineering Project in 20 Minutes
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Building a Data Engineering Project in 20 Minutes
The source-code you can find on practical-data-engineering for the data pipeline or in data-engineering-devops with all it’s details to set things up. Although not all is finished, you can observe the current status of the project on real-estate-project.
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A note from our sponsor - SaaSHub
www.saashub.com | 28 Apr 2024
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The primary programming language of practical-data-engineering is Jupyter Notebook.
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