Download Data Engineering for ML Pipelines PDF Free - Full Version
Download Data Engineering for ML Pipelines by Pavan Kumar Narayanan in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Data Engineering for ML Pipelines
This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code. The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars and CuDF, providing insights into GPU-based computing and cutting-edge data manipulation techniques. The text discusses the importance of data validation in engineering processes, introducing tools such as Great Expectations and Pandera to ensure data quality and reliability. The book delves into API design and development, with a specific focus on leveraging the power of FastAPI. It covers authentication, authorization, and real-world applications, enabling you to construct efficient and secure APIs using FastAPI. Also explored is concurrency in data engineering, examining Dask’s capabilities from basic setup to crafting advanced machine learning pipelines. The book includes development and delivery of data engineering pipelines using leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure. The concluding chapters concentrate on real-time and streaming data engineering pipelines, emphasizing Apache Kafka and workflow orchestration in data engineering. Workflow tools such as Airflow and Prefect are introduced to seamlessly manage and automate complex data workflows. What sets this book apart is its blend of theoretical knowledge and practical application, a structured path from basic to advanced concepts, and insights into using state-of-the-art tools. For data analysts, data engineers, data scientists, Machine Learning engineers, and MLOps specialists.
Detailed Information
| Author: | Pavan Kumar Narayanan |
|---|---|
| Pages: | 631 |
| Language: | English |
| File Size: | 34 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Data Engineering for ML Pipelines Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Data Engineering for ML Pipelines PDF?
Yes, on https://PDFdrive.to you can download Data Engineering for ML Pipelines by Pavan Kumar Narayanan completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Data Engineering for ML Pipelines on my mobile device?
After downloading Data Engineering for ML Pipelines PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Data Engineering for ML Pipelines?
Yes, this is the complete PDF version of Data Engineering for ML Pipelines by Pavan Kumar Narayanan. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Data Engineering for ML Pipelines PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
