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The Data Pipelines Project Handbook: Build 15 Real-World Solutions Across Industries
Paperback
Series: Project Based AI Development
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ISBN13: 9798270186081
Publisher: Independently Published
Published: Oct 16 2025
Pages: 278
Weight: 1.07
Height: 0.58 Width: 7.00 Depth: 10.00
Language: English
Publisher: Independently Published
Published: Oct 16 2025
Pages: 278
Weight: 1.07
Height: 0.58 Width: 7.00 Depth: 10.00
Language: English
What if you could build data pipelines that power real businesses across finance, healthcare, IoT, and more-without guessing where to start? The Data Pipelines Project Handbook: Build 15 Real-World Solutions Across Industries is your step-by-step field guide to becoming a practical data engineer who can design, build, and deploy reliable data systems from day one.
This hands-on book walks you through fifteen complete projects that mirror the challenges data engineers face in the real world. You'll construct batch, streaming, and hybrid pipelines that collect, clean, and deliver actionable data for analytics and machine learning. Each chapter focuses on one industry problem-from real-time fraud detection in banking to patient record integration in healthcare-and shows how to solve it using modern tools such as Apache Kafka, Spark, Airflow, dbt, and BigQuery.
Inside, you'll build projects such as:
Whether you're a data analyst aiming to grow into data engineering, a software developer branching into ETL and streaming, or a professional upgrading your technical toolkit, this handbook gives you the practical experience employers look for.
Start building data pipelines that solve real problems and power modern analytics. Get your copy of The Data Pipelines Project Handbook today and take the next step in mastering end-to-end data engineering.
Inside, you'll build projects such as:
- An E-commerce Recommendation Engine Pipeline that personalizes shopping experiences.
- A Financial Fraud Detection System that flags suspicious activity in real time.
- A Healthcare Data Integration Pipeline that merges patient data from multiple sources.
- An IoT Sensor Data Stream for monitoring factory equipment and predicting maintenance needs.
- An Environmental Monitoring Pipeline that tracks and forecasts air quality data and many more.
Whether you're a data analyst aiming to grow into data engineering, a software developer branching into ETL and streaming, or a professional upgrading your technical toolkit, this handbook gives you the practical experience employers look for.
Start building data pipelines that solve real problems and power modern analytics. Get your copy of The Data Pipelines Project Handbook today and take the next step in mastering end-to-end data engineering.
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