Weekend Data Project: Build a Python Data Pipeline in 2 Hours!
Free Data + Python = Weekend Project! Build a Data Pipeline with SQL🎯Explore the complete PL/SQL course for FREE on my website at https://www.rebellionrider.com/category/pl-sql/============
Watch how to configure Oracle on VS Code https://youtu.be/6mwAx4sGhwk
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FAQ
Which book to refer to learn -
PL/SQL https://amzn.to/2QE1jX0
Performance Tuning https://amzn.to/2sgiAw4
1z0-071 Exam https://amzn.to/2sgfeJw
Python Programming https://amzn.to/305UEbh
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I’m excited to share another data project you can tackle this weekend to boost your resume and sharpen your skills! 🚀💻 As someone who’s passionate about data engineering, I’ve worked on numerous projects that have enhanced my expertise and opened doors in my career. One of the most impactful was creating a data pipeline that seamlessly moves data from an API to an SQL database. Let me guide you through this step-by-step:
🌐 Step 1: Visit RapidAPI and select an API that piques your interest. Most of the APIs are free and offer diverse data sets to work with.
🐍 Step 2: Use Python to extract data from the API. The data will be in JSON format, so it’s a perfect opportunity to practice your JSON parsing skills.
🛠️ Step 3: Transform the data by parsing only the necessary information from the raw JSON data. This step is crucial for cleaning and structuring your data for optimal analysis.
💾 Step 4: Load the cleaned data into an SQL database. Whether you prefer PostgreSQL, MySQL, or Oracle Database, choose the one you’re most comfortable with and start loading your data.
📄 Step 5: Document all your steps meticulously and publish the project on GitHub or LinkedIn. This not only showcases your technical skills but also demonstrates your ability to document and share your work professionally.
To add a touch of credibility, did you know that a study by Harvard Business Review found that data-driven companies are 5% more productive and 6% more profitable than their competitors? 📊📈
By completing this project, you'll not only enhance your resume but also gain practical experience in data engineering, which is highly sought after in today’s job market. Ready to dive in? Let’s get coding! 💪✨
#DataEngineering #DataScience #Python #SQL #JSON #DataPipeline #CareerGrowth #TechCareer #Coding #RapidAPI #PostgreSQL #MySQL #Oracle #GitHub #LinkedIn #DataDriven #TechSkills #ResumeBoost Receive SMS online on sms24.me
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