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This book examines the migration of Indians (mainly from the Punjab region in north India) to parts of northern Italy, especially the Emilia-Romagna region. It analyzes the mobility patterns of migrants who occupy a niche in the labour market and unpacks the forward and backward linkages that migrants imagine, experience, and endure, not only in the context of the materiality of livelihood opportunities and income generation in Italy but also through affect, as potential immigrants and then as migrants, in a territorial and imagined space. The book unravels uncertainties and anxieties about identity among youth, women, and men through in-depth interviews. It also examines a reassertion of cultural tropes that portray identity in marked and vexed ways. The book brings a mutual recognition and acceptance of diversity, or its lack, in a European nation. It stands out for its nuanced ethnographic detail, its attention to the voices of youth and women, and exploration of their relationship with the host community. The book, therefore, is a must-read for everybody interested in a better understanding of migration and the culture of migration in different countries.

Agricultural laborers, Foreign --- East Indians --- Social aspects

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Whether you're an Azure veteran or just getting started, get the most out of your data with effective recipes for Azure Synapse Key Features Discover new techniques for using Azure Synapse, regardless of your level of expertise Integrate Azure Synapse with other data sources to create a unified experience for your analytical needs using Microsoft Azure Learn how to embed data governance and classification with Synapse Analytics by integrating Azure Purview Book Description As data warehouse management becomes increasingly integral to successful organizations, choosing and running the right solution is more important than ever. Microsoft Azure Synapse is an enterprise-grade, cloud-based data warehousing platform, and this book holds the key to using Synapse to its full potential. If you want the skills and confidence to create a robust enterprise analytical platform, this cookbook is a great place to start. You'll learn and execute enterprise-level deployments on medium-to-large data platforms. Using the step-by-step recipes and accompanying theory covered in this book, you'll understand how to integrate various services with Synapse to make it a robust solution for all your data needs. Whether you're new to Azure Synapse or just getting started, you'll find the instructions you need to solve any problem you may face, including using Azure services for data visualization as well as for artificial intelligence (AI) and machine learning (ML) solutions. By the end of this Azure book, you'll have the skills you need to implement an enterprise-grade analytical platform, enabling your organization to explore and manage heterogeneous data workloads and employ various data integration services to solve real-time industry problems. What you will learn Discover the optimal approach for loading and managing data Work with notebooks for various tasks, including ML Run real-time analytics using Azure Synapse Link for Cosmos DB Perform exploratory data analytics using Apache Spark Read and write DataFrames into Parquet files using PySpark Create reports on various metrics for monitoring key KPIs Combine Power BI and Serverless for distributed analysis Enhance your Synapse analysis with data visualizations Who this book is for This book is for data architects, data engineers, and developers who want to learn and understand the main concepts of Azure Synapse analytics and implement them in real-world scenarios.

Data warehousing. --- Big data --- Microsoft Azure (Computing platform) --- Management.

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This book focuses on the issue of financial exclusion with particular reference to the urban informal sector in India. Continuing the work of its predecessor, the current Government of India is also placing considerable importance on driving policy initiatives for financial inclusion. However, financial exclusion in urban areas, especially of the lower strata of the society has not received the attention it deserves from researchers and policymakers, even though urban poverty and deprivations are of considerable importance in the present Indian context. The challenges of financial inclusion and accessibility in the urban areas differ substantially from those found in the rural regions given the fact that the possibility of physical access to financial services is much higher in urban areas. In order to provide a macro perspective, the book begins with an analysis of the unit record data on nature and extent of financial inclusion and access to credit in urban India, based on Debt and Investment survey data (59th and 70th rounds) provided by the National Sample Survey Office (NSSO). In subsequent steps, the book discusses findings from a primary survey carried out in the state of Karnataka of self-employed persons engaged in informal services sector. This exercise has helped to comprehend the ways in which they currently meet their financial needs for different income generating purposes, the terms and conditions under which they do so, and the challenges that remained for possible interventions. Experiences of other developing nations in their attempts to ensure financial inclusion and the lesson learnt thereby are the other highlights of the book.

Finance. --- Social policy. --- Development economics. --- Economic growth. --- Economics. --- Economic Growth. --- Social Policy. --- Development Economics. --- Finance, general. --- Economic development --- India --- Economic conditions. --- Development, Economic --- Economic growth --- Growth, Economic --- Economic policy --- Economics --- Statics and dynamics (Social sciences) --- Development economics --- Resource curse --- Funding --- Funds --- Currency question --- National planning --- State planning --- Family policy --- Social history

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This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and their applications. It offers support for researchers involved in designing decision support systems to promote the societal acceptance of ambient intelligence, and presents the latest research on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field. As such, it offers a valuable resource for researchers, developers and educators whose work involves recent advances and emerging technologies in computational intelligence.

Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Machine learning. --- Artificial intelligence. --- Computer logic. --- Computational Intelligence. --- Machine Learning. --- Logic in AI. --- Computer science logic --- Logic, Symbolic and mathematical --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Learning, Machine

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"This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more. Connectivity through hyperlinks for safe shopping is one of the key areas touched upon in the volume. Modeling for online shopping is also discussed, as is the concept of Quality of Service (QoS) for internet safety, which points to the limits and value of information sharing. Recommender systems with collaborative filtration and an IoT framework along with various payback models are discussed and illustrated with the help of case studies. Also discussed is a plan to gauge the frequency for data evaluation. The relationship between the problem-solving business and the purchaser is also highlighted, showing the importance of the data sets that give information and business analysis using big data. Key features: discusses the tools and techniques used in machine learning; describes the sound principles of big data mining; discusses the rudimentary principles of the social pursuit and connectivity with the humans; considers how online shopping is entangled with networking with social sites and users' experiences; discusses Quality of Service (QoS) and explains the various attacks on cyber, enumerating the ways to enhance the trust in cyber world; looks at the consequences of the recommender system, which is a technique based on collaborative filtering, showing new techniques for e-commerce, discusses the different frameworks of business models of IOT with the help of a case study "--

Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Telecommunication technology --- Computer science --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics