The new Internet bar phenomenon in China reveals a contradictory time and a vital tug of war between the state and civil society. Small, private net bar operators are caught in the double roles of regulator and the regulated, struggling to survive; many Internet cafe visitors largely enjoy emailing and online entertainment, showing little interest in political or policy issues. And both bar operators and visitors skillfully play a cat-mouse game with the state. Internet Policy in China: A Field Study of Internet Cafes reports the results of a multi-layered study of this phenomenon. Helen Sun investigates how the Internet has been used by the state and individuals, as well as the implications of Chinese Internet policies and regulations. She conceptualizes media technology as a "dependent variable" that can be affected by other factors such as its availability, the user's uses and expectations, media policy, the market, and the nations-state. Internet Policy in China focuses on the Chinese telecommunications policy-making system, regulatory activities, and the governmental means of control over Internet access and use at both the macro and micro levels. Sun also discusses users' perceptions and uses of the Internet in net cafes, the dual role cafe owners play in the frantic digital arena, the mismatch between Internet regulations and net cafe owners and goers, their interaction with governmental policy and regulation, and the social implications of their interactions during China's transitional time.

The new Internet bar phenomenon in China reveals a contradictory time and a vital tug of war between the state and civil society. Small, private net bar operators are caught in the double roles of regulator and the regulated, struggling to survive; many Internet cafZ visitors largely enjoy emailing and online entertainment, showing little interest in political or policy issues. And both bar operators and visitors skillfully play a cat-mouse game with the state. Internet Policy in China: A Field Study of Internet CafZs reports the results of a multi-layered study of this phenomenon. Helen Sun investigates how the Internet has been used by the state and individuals, as well as the implications of Chinese Internet policies and regulations. She conceptualizes media technology as a _dependent variable_ that can be affected by other factors such as its availability, the user's uses and expectations, media policy, the market, and the nations-state. Internet Policy in China focuses on the Chinese telecommunications policy-making system, regulatory activities, and the governmental means of control over Internet access and use at both the macro and micro levels. Sun also discusses users' perceptions and uses of the Internet in net cafZs, the dual role cafZ owners play in the frantic digital arena, the mismatch between Internet regulations and net cafZ owners and goers, their interaction with governmental policy and regulation, and the social implications of their interactions during China's transitional time.

In this age of data economy, data analytics is recognized as a key differentiator for companies trying to gain a sustainable competitive advantage and outperform their peers. However, the complexity of establishing an analytical architecture due to a wide array of disparate technical capabilities offered by a plethora of vendors makes the deployment of an on-premise solution a daunting task. For this reason, the Salesforce Analytics Cloud has captured the imagination from of both IT and business communities. The Salesforce Analytics Cloud represents the rethinking of analytics for the business user. The Analytics Cloud is a cloud-based platform designed for the business user to have access to analytics "on the go," providing answers to questions instantly on any device. This mobile-ready capability of the Salesforce Analytics Cloud means users can immediately collaborate and share insights with team members right inside Salesforce. Pro Salesforce Analytics Cloud A practical guide to Salesforce Analytics Cloud, including Wave Platform, Builder, and Explorer. Detailed business analytics use cases in various industries (e.g., retail, healthcare, financial services, and telecommunications). Architecture and best practices for integration, security, hybrid cloud coexistence, and governance. Pro Sal esforce Analytics Cloud is the first comprehensive book on Salesforce Analytics and provides a holistic architecture view of different analytical capabilities and how they fit into the overall information architecture. It features real-world industry use cases and demonstrates how Salesforce's Analytics Cloud solves business challenges and brings real value to the organization.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Oracle Endeca Information Discovery Best PracticesMaximize the powerful capabilities of this self-service enterprise data discovery platform. Master Competitive Analytics with Oracle Endeca Information Discovery reveals how to unlock insights from any type of data,regardless of structure. The first part of the book is a complete technical guide to the product's architecture, components, and implementation. The second part presents a comprehensive collection of business analytics use cases in various industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods, and public sector. Step-by-step instructions on implementing some of these use cases areincluded in this Oracle Press book. Install and manage Oracle Endeca Server Design Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discovery Enable enterprise-driven data exploration with Oracle Endeca Information Discovery Integrator Develop and implement a fraud detection and analysis application Build a healthcare correlation application that integrates claims, patient, and operations analysis;partners; clinical research; and remote monitoring Use an enterprise architecture approach to incrementally establish big data and analytical capabilities

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Transform Big Data into Insight"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices formigrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included inthis Oracle Press guide. Understand the value of a comprehensive big data strategy Maximize the distributed processing power of the Apache Hadoop platform Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop andOracle NoSQL Database Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance Integrate your existing data warehousing and analytics infrastructure into a big data architecture Share data among Hadoop and relational databases using Oracle Big Data Connectors Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture Deliver faster time to value using in-database analytics Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop Analyze disparate data with Oracle Endeca Information Discovery Plan and implement a big data governance strategy and develop an architecture and roadmap