Why Would I Be Married Here? examines marriage migration undertaken by rural bachelors in North India, unable to marry locally, who travel across the breadth of India seeking brides who do not share the same caste, ethnicity, language, or customs as themselves. Combining rich ethnographic evidence with Dalit feminist and political economy frameworks, Reena Kukreja connects the macro-political violent process of neoliberalism to the micro-personal level of marriage and intimate gender relations to analyze the lived reality of this set of migrant brides in cross-region marriages among dominant-peasant caste Hindus and Meo Muslims in rural North India.
Why Would I Be Married Here? reveals how predatory capitalism links with patriarchy to dispossess many poor women from India's marginalized Dalit and Muslim communities of marriage choices in their local communities. It reveals how, within the context of the increasing spread of capitalist relations, these women's pragmatic cross-region migration for marriage needs to be reframed as an exercise of their agency that simultaneously exposes them to new forms of gender subordination and internal othering of caste discrimination and ethnocentrism in conjugal communities. Why Would I Be Married Here? offers powerful examples of how contemporary forces of neoliberalism reshape the structural oppressions compelling poor women from marginalized communities worldwide into making compromised choices about their bodies, their labor, and their lives.
Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big data
Key Features:
Become well-versed with the core concepts of Apache Spark and Delta Lake for building data platforms
Learn how to ingest, process, and analyze data that can be later used for training machine learning models
Understand how to operationalize data models in production using curated data
Book Description:
In the world of ever-changing data and ever-evolving schemas, it is important to build data pipelines that can auto-adjust to changes. This book will help you build scalable data platforms that managers, data scientists, and data analysts can rely on.
Starting with an introduction to data engineering, along with its key concepts and architectures, this book will show you how to use Microsoft Azure Cloud services effectively for data engineering. You'll cover data lake design patterns and the different stages through which the data needs to flow in a typical data lake. Once you've explored the main features of Delta Lake to build data lakes with fast performance and governance in mind, you'll advance to implementing the lambda architecture using Delta Lake. Packed with practical examples and code snippets, this book takes you through real-world examples based on production scenarios faced by the author in his 10 years of experience working with big data. Finally, you'll cover data lake deployment strategies that play an important role in provisioning the cloud resources and deploying the data pipelines in a repeatable and continuous way.
By the end of this data engineering book, you'll have learned how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence (AI) tasks.
What You Will Learn:
Discover the challenges you may face in the data engineering world
Add ACID transactions to Apache Spark using Delta Lake
Understand effective design strategies to build enterprise-grade data lakes
Explore architectural and design patterns for building efficient data ingestion pipelines
Orchestrate a data pipeline for preprocessing data using Apache Spark and Delta Lake APIs
Automate deployment and monitoring of data pipelines in production
Get to grips with securing, monitoring, and managing data pipelines models efficiently
Who this book is for:
This book is for aspiring data engineers and data analysts who are new to the world of data engineering and are looking for a practical guide to building scalable data platforms. If you already work with PySpark and want to use Delta Lake for data engineering, you'll find this book useful. Basic knowledge of Python, Spark, and SQL is expected.
Автор: By Romesh K Khardori, By Subhash C Kukreja Название: Clinical Focus Series: Bone and Mineral Disorders ISBN: 9352704789 ISBN-13(EAN): 9789352704781 Издательство: JayPee Brothers India Рейтинг: Цена: 7148.00 р. Наличие на складе: Нет в наличии.
Автор: Kukreja Sunil Название: State, Society, and Minorities in South and Southeast Asia ISBN: 1498517048 ISBN-13(EAN): 9781498517041 Издательство: Bloomsbury Рейтинг: Цена: 6683.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a multidisciplinary assessment of the salience of the ethnic and religious realities of shaping various South and Southeast Asian nations. It offers a deep appreciation of the challenges that these societies confront in integrating and/or responding to specific ethnic- and/or religious-based conflicts and tensions.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
