Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms, First Edition free ebook download.

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Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms, First Edition free ebook download

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Author(s):	Pavan Kumar Narayanan

Date:	2024	Format:	pdf	Language:	English	ISBN/ASIN:	B0D8XR4NJJ
Pages:	631	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	10/29/2024 5:15:55 AM

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B0D8XR4NJJ pdf
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.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3274814	Book	https://nitroflare.com/view/173EE02FDE63...		33.00	eternal

Tags: Cloud Data Engineering Learning Libraries Machine Pipelines Pipelines Platforms Python

Title	Link	Password	Size	Reason

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