Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

Master Windows 8.1/Windows Runtime Programming Through 80 Expert Projects This is the most complete, hands-on, solutions-focused guide to programming modern Windows applications with the Windows Runtime. Leading Windows development consultants Jeremy Likness and John Garland present easy-to-adapt C# and XAML example code for more than 80 projects. Their real-world application examples help you apply Windows 8.1’s best improvements, including large tiles, the new search control, flyouts, command bars, native WinRT networking, and new deployment and sideloading options. Drawing on their pioneering experience, they illuminate key areas of the Windows Runtime API, offering uniquely detailed coverage of encryption, cloud connectivity, devices, printers, and media integration. You’ll find cutting-edge tips and tricks available in no other book. This is an indispensable resource for all intermediate-to-advanced Windows developers, and for any architect building desktop, tablet, or mobile solutions with Microsoft technologies. Its focus on both C# and XAML will make it valuable to millions of Windows developers already familiar with Silverlight, WPF, and/or .NET. Coverage includes • Creating robust app interfaces with the newest XAML controls, including flyouts and command bars • Saving data in a persistent “roaming zone” for syncing across Windows 8.1 devices • Using Visual State Manager (VSM) to build apps that adapt to various device resolutions and orientations • Integrating virtually any form of data into your apps • Connecting with web services, RSS, Atom feeds, and social networks • Securing apps via authentication, encrypting, signing, and single sign-on with Microsoft Account, Facebook, Google, and more • Leveraging Windows 8.1 media enhancements that improve battery life and app performance • Networking more effectively with Windows 8.1’s revamped HTTP implementation and new location APIs • Using Tiles and Toasts to keep apps alive and connected, even when they aren’t running • Enabling users to send content between devices via NFC tap and send • Ensuring accessibility and globalizing your apps • Efficiently debugging, optimizing, packaging, and deploying your apps • Building sideloadable apps that don’t have to be published in Windows Store “This book doesn’t just focus on singular concepts, it also provides end-to-end perspective on building an app in WinRT. It is one of those essential tools for Windows developers that will help you complete your software goals sooner than without it!” —Tim Heuer, Principal Program Manager Lead, XAML Platform, Microsoft Corporation

This IBM® Redbooks® publication provides deployment guidelines, workload estimates, and preferred practices for clients who want a proven IBM technology stack for virtualized VMware and Microsoft environments. The result is a Reference Architecture for Virtualized Environments (RAVE) that uses VMware vSphere or Microsoft Hypervisor, IBM System x® or IBM BladeCenter® server, IBM System Networking, and IBM System Storage® N series with Clustered Data ONTAP as a storage foundation. The reference architecture can be used as a foundation to create dynamic cloud solutions and make full use of underlying storage features and functions. This book provides a blueprint that illustrates how clients can create a virtualized infrastructure and storage cloud to help address current and future data storage business requirements. It explores the solutions that IBM offers to create a storage cloud solution addressing client needs. This book also shows how the Reference Architecture for Virtualized Environments and the extensive experience of IBM in cloud computing, services, proven technologies, and products support a Smart Storage Cloud solution that is designed for your storage optimization efforts. This book is for anyone who wants to learn how to successfully deploy a virtualized environment. It is also written for anyone who wants to understand how IBM addresses data storage and compute challenges with IBM System Storage N series solutions with IBM servers and networking solutions. This book is suitable for IT architects, business partners, IBM clients, storage solution integrators, and IBM sales representatives.

IBM® Wave for z/VM® is a virtualization management solution for IBM z/VM and Linux on System z®. This virtualization management software provides a simplified and cost effective way for companies to harness the consolidation capabilities of the IBM System z platform and its ability to host the workloads of tens of thousands of commodity servers. IBM Wave for z/VM is a complete management solution for System z-based virtual server farms. This IBM Redbooks® publication provides a guide to understanding IBM Wave for z/VM by providing information about the IBM Wave for z/VM architecture and how it fits into the Cloud. Also provided is a planning and design guide that is based on common scenarios. This IBM Redbooks publication also provides installation and configuration task information and how to manage and operate the environment. The intended audience for this IBM Redbooks publication is IT Architects who are responsible for planning their IBM Wave for z/VM environments and IT Specialists who are responsible for implementing them.

Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS.

This IBM® Redbooks® publication will help you learn how to build a storage cloud with the IBM SmartCloud® Storage Access solution, which consists of multiple hardware and software products, including IBM Scale Out Network Attached Storage, IBM Storwize® V7000 Unified, IBM Tivoli® Storage Productivity Center, and more. The new self-service storage provisioning for IBM Storwize V7000, IBM System Storage® SAN Volume Controller (SAN Volume Controller), and IBM XIV® storage systems for storage area network (SAN) or block access is included. To get you started, this book provides information about the planning, installation, and configuration for each component. IBM SmartCloud Storage Access is an IBM software product for storage cloud management that provides the cloud service with virtualization and automation. IBM SmartCloud Storage Access is the focal point to administer the storage cloud environment, providing a self-service provision approach for storage cloud users. New storage capacity can be easily deployed and accessed by the Internet or intranet. IBM SmartCloud Storage Access also supports simple and fast resource elasticity as user demand changes. With the IBM SmartCloud Storage Access solution, the storage resources will be displayed as unified resource pools with different service levels. Users no longer need to know the exact location of their files, and there is no more need to configure the underlying storage subsystems manually. All storage resources are still well monitored, and the cloud administrators can easily track the historical storage resource usage. The IBM SmartCloud Storage Access solution provides all of the essential characteristics of a cloud service. IBM SmartCloud Storage Access acts as the cloud management portal. All cloud users work with the portal, and IBM SmartCloud Storage Access forwards the storage requests to Tivoli Storage Productivity Center to process. Tivoli Storage Productivity Center provides the storage configuration and usage details to IBM SmartCloud Storage Access. Some additional small, but important, components are required for the IBM SmartCloud Storage Access solution: Lightweight Directory Access Protocol (LDAP) or Active Directory (AD) system for authentication Domain Name System (DNS) for naming converting Simple Mail Transfer Protocol (SMTP) component for mail notification Network Time Protocol (NTP) system for clock synchronization

Oracle Database 12c Release 1 is now supported on Linux on IBM® System z®. This platform offers many advantages to customers who rely upon the IBM mainframe systems to run their businesses. Linux on System z takes advantage of the qualities of service in the System z hardware and in IBM z/VM®, making it a robust industrial strength version of Linux. This provides an excellent platform for hosting Oracle solutions that run in an enterprise. This IBM Redbooks® publication shares experiences that are gained while installing and testing Oracle Database 12c Release 1: Recommendations about how to set up an infrastructure Installing an Oracle Grid Infrastructure Installing Oracle 12C R1 Real Application Clusters (RAC) and creating a RAC Database, including a multitenant database Using the Cloud Control Agent to manage Oracle Database 12c Release 1 Installing Oracle WebLogic Server 12c Upgrading from an Oracle Database from 11gR2 to 12c Release 1

Server bottlenecks and failures are a fact of life in any database deployment, but they don’t have to bring everything to a halt. This practical book explains replication, cluster, and monitoring features that can help protect your MySQL system from outages, whether it’s running on hardware, virtual machines, or in the cloud.

Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all, it helps you integrate these new solutions with technologies you already know, such as SQL Server and Hadoop. Walks you through how to integrate Big Data solutions in your company using Microsoft's HDInsight Server, HortonWorks Data Platform for Windows, and open source tools Explores both on-premises and cloud-based solutions Shows how to store, manage, analyze, and share Big Data through the enterprise Covers topics such as Microsoft's approach to Big Data, installing and configuring HortonWorks Data Platform for Windows, integrating Big Data with SQL Server, visualizing data with Microsoft and HortonWorks BI tools, and more Helps you build and execute a Big Data plan Includes contributions from the Microsoft and HortonWorks Big Data product teams If you need a detailed roadmap for designing and implementing a fully deployed Big Data solution, you'll want Microsoft Big Data Solutions.

"Optimizing Hadoop for MapReduce" is your comprehensive guide to getting the best performance out of your Hadoop-based big data processing jobs. With a focus on practical application rather than theory, this book delves into the nuances of MapReduce job design, execution, and optimization to help you harness the full power of this technology. What this Book will help me do Understand the internal workings of Hadoop MapReduce and how it executes jobs. Master key optimization techniques to improve Hadoop job efficiency and resource use. Learn advanced MapReduce programming concepts to handle complex data processing tasks. Analyze and monitor Hadoop job performance using practical tools and methods. Integrate best practices for scaling production workloads in a Hadoop cluster. Author(s) Khaled Tannir is a seasoned software engineer and an expert in distributed systems, big data, and cloud technologies. He has decades of experience designing and optimizing systems for high-performance data processing. Khaled's hands-on approach to explaining technical concepts ensures readers gain practical, applied knowledge that can be immediately implemented in real-world projects. Who is it for? This book is intended for developers, data engineers, and system architects who work with or are planning to work with Apache Hadoop. Ideal readers should have basic familiarity with Hadoop concepts and a foundational understanding of distributed systems. This book will benefit professionals looking to optimize their Hadoop-based applications or understand advanced usage of MapReduce. Whether you're aiming to improve your existing knowledge or implement high-performance data solutions, this book is tailored for you.

Mule in Action, Second Edition is a totally-revised guide covering Mule 3 fundamentals and best practices. It starts with a quick ESB overview and then dives into rich examples covering core concepts like sending, receiving, routing, and transforming data. About the Technology An enterprise service bus is a way to integrate enterprise applications using a bus-like infrastructure. Mule is the leading open source Java ESB. It borrows from the Hohpe/Woolf patterns, is lightweight, can publish REST and SOAP services, integrates well with Spring, is customizable, scales well, and is cloud-ready. About the Book Mule in Action, Second Edition is a totally revised guide covering Mule 3 fundamentals and best practices. It starts with a quick ESB overview and then dives into rich examples covering core concepts like sending, receiving, routing, and transforming data. You'll get a close look at Mule's standard components and how to roll out custom ones. You'll also pick up techniques for testing, performance tuning, and BPM orchestration, and explore cloud API integration for SaaS applications. Written for developers, architects, and IT managers, this book requires familiarity with Java but no previous exposure to Mule or other ESBs. What's Inside Full coverage of Mule 3 Integration with cloud services Common transports, routers, and transformers Security, routing, orchestration, and transactions About the Reader Written for developers, architects, and IT managers, this book requires familiarity with Java but no previous exposure to Mule or other ESBs. About the Authors David Dossot is a software architect and has created numerous modules and transports for Mule. John D'Emic is a principal solutions architect and Victor Romero a solutions architect, both at MuleSoft, Inc. Quotes Captures the essence of pragmatism that is the founding principle of Mule. - From the Foreword by Ross Mason, Creator of Mule A new, in-depth perspective. - Dan Barber, Penn Mutual Excellent topic coverage and code examples. - Davide Piazza, Thread Solutions srl, MuleSoft Partner This edition has grown, with more real-world examples and a thorough grounding in messaging. - Keith McAlister, CGI

This IBM® Redbooks® publication describes IBM PureApplication™ System preferred practices that are based on IBM client and Business Partner experience. It explains how PureApplication System enables industries to consolidate workloads, increase efficiency, automate routine processes, reduce costs, and become more agile to respond to continually changing business needs. This book is particularly useful to solution specialists, system or software architects, and the IT teams who implement PureApplication System cloud services.

Master Oracle Fusion Applications Design and Personalization Deliver highly adaptable business applications that bolster productivity and drive informed decision-making. Oracle Fusion Applications Development and Extensibility Handbook contains best practices, real-world case studies, and technical deep dives. Discover how to manage design- and run-time customizations, extend existing UIs and build new ones, secure your applications, and integrate with other systems. This Oracle Press guide offers complete coverage of the latest cloud and SOA-based features. Explore Oracle Fusion Applications components and architecture Plan, develop, debug, and deploy customizations Extend out-of-the-box functionality with Oracle JDeveloper Modify web applications using Oracle Composer Incorporate Oracle SOA Suite 11 g composites Validate code through sandboxes and test environments Secure data using authorization, authentication, and encryption Design and distribute personalized BI reports Automate jobs with Oracle Enterprise Scheduler Change appearance and branding of your applications with the Oracle ADF Skin Editor Extend and customize CRM with Application Composer

The "RabbitMQ Cookbook" is a hands-on guide to mastering RabbitMQ, a powerful and versatile message broker enabling efficient communication between distributed applications. Through practical recipes, you will learn the concepts and techniques for building scalable, reliable, and robust messaging systems. What this Book will help me do Implement and optimize RabbitMQ message brokers for distributed systems. Create RabbitMQ integrations with protocols like MQTT and STOMP. Develop scalable and high-availability RabbitMQ cluster solutions. Deploy and manage RabbitMQ in cloud environments like AWS. Extend RabbitMQ functionalities by creating custom plugins in Erlang. Author(s) The authors of "RabbitMQ Cookbook" are seasoned software architects and developers with extensive hands-on experience with RabbitMQ. They have utilized RabbitMQ in real-world projects to provide innovative solutions for scalable distributed systems. Their collaborative approach focuses on breaking down complex topics into actionable, practical lessons that empower readers to develop their skills. Who is it for? This book is perfect for software developers and architects aiming to design scalable and distributed systems. If you have a basic understanding of web, cloud, and multithreading concepts, this book will provide you with valuable tools and techniques to incorporate RabbitMQ effectively into your projects. It bridges the gap between theoretical concepts and practical implementation with detailed examples.

Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets; distributed cloud computing offers the resources to store and analyze them; and professionals have radically new technologies at their command, including NoSQL databases. Until now, however, most books on “Big Data” have been little more than business polemics or product catalogs. is different: It’s a completely practical and indispensable guide for every Big Data decision-maker, implementer, and strategist. Data Just Right Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that’s where you can derive the most value. Manoochehri shows how to address each of today’s key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You’ll find expert approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today’s leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery. Coverage includes Mastering the four guiding principles of Big Data success—and avoiding common pitfalls Emphasizing collaboration and avoiding problems with siloed data Hosting and sharing multi-terabyte datasets efficiently and economically “Building for infinity” to support rapid growth Developing a NoSQL Web app with Redis to collect crowd-sourced data Running distributed queries over massive datasets with Hadoop, Hive, and Shark Building a data dashboard with Google BigQuery Exploring large datasets with advanced visualization Implementing efficient pipelines for transforming immense amounts of data Automating complex processing with Apache Pig and the Cascading Java library Applying machine learning to classify, recommend, and predict incoming information Using R to perform statistical analysis on massive datasets Building highly efficient analytics workflows with Python and Pandas Establishing sensible purchasing strategies: when to build, buy, or outsource Previewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist

Build and Deploy Massively Scalable, Super-fast Data Management Applications with Apache Cassandra is the first hands-on developer’s guide to building Cassandra systems and applications that deliver breakthrough speed, scalability, reliability, and performance. Fully up to date, it reflects the latest versions of Cassandra–including Cassandra Query Language (CQL), which dramatically lowers the learning curve for Cassandra developers. Practical Cassandra Pioneering Cassandra developers and Datastax MVPs Russell Bradberry and Eric Lubow walk you through every step of building a real production application that can store enormous amounts of structured, semi-structured, and unstructured data. Drawing on their exceptional expertise, Bradberry and Lubow share practical insights into issues ranging from querying to deployment, management, maintenance, monitoring, and troubleshooting. The authors cover key issues, from architecture to migration, and guide you through crucial decisions about configuration and data modeling. They provide tested sample code, detailed explanations of how Cassandra works ”under the covers,” and new case studies from three cutting-edge users: Ooyala, Hailo, and eBay. Coverage includes Understanding Cassandra’s approach, architecture, key concepts, and primary use cases– and why it’s so blazingly fast Getting Cassandra up and running on single nodes and large clusters Applying the new design patterns, philosophies, and features that make Cassandra such a powerful data store Leveraging CQL to simplify your transition from SQL-based RDBMSes Deploying and provisioning through the cloud or on bare-metal hardware Choosing the right configuration options for each type of workload Tweaking Cassandra to get maximum performance from your hardware, OS, and JVM Mastering Cassandra’s essential tools for maintenance and monitoring Efficiently solving the most common problems with Cassandra deployment, operation, and application development

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools

This IBM® Redbooks® publication describes the concepts, architecture, and implementation of the IBM XIV® Storage System. The XIV Storage System is a scalable enterprise storage system that is based on a grid array of hardware components. It can attach to both Fibre Channel Protocol (FCP) and IP network Small Computer System Interface (iSCSI) capable hosts. This system is a good fit for clients who want to be able to grow capacity without managing multiple tiers of storage. The XIV Storage System is suited for mixed or random access workloads, including online transaction processing, video streamings, images, email, and emerging workload areas, such as Web 2.0 and storage cloud. The focus of this edition is on the XIV Gen3 hardware Release 3.4, running Version 11.4 of the XIV system software. With this version, XIV Storage System offers 4 TB drives, and enhanced caching with optional 800 GB flash cache devices (solid-state drives (SSDs)) per module. IBM XIV software Version 11.4, XIV Gen3 supports encryption for all capacity points. This version also scales XIV snapshot management out with the new Hyper-Scale Consistency, by coordinating concurrent snapshots of volumes that are spread across multiple XIV systems and belong to one application. In the first few chapters of this book, we describe many of the unique and powerful concepts that form the basis of the XIV Storage System logical and physical architecture. We explain how the system is designed to eliminate direct dependencies between the hardware elements and the software that governs the system. In subsequent chapters, we explain the planning and preparation tasks that are required to deploy the system in your environment by using the intuitive, yet powerful XIV Storage Manager GUI or the XIV command-line interface (XCLI). We describe the performance characteristics of the XIV Storage System and present options that are available for alerting and monitoring, including an enhanced secure remote support capability. This book is intended for IT professionals who want an understanding of the XIV Storage System. It also targets readers who need detailed advice on how to configure and use the system.

BizTalk 2013 Recipes provides ready-made solutions to BizTalk Server 2013 developers. The recipes in the book save you the effort of developing your own solutions to common problems that have been solved many times over. The solutions demonstrate sound practice, the result of hard-earned wisdom by those who have gone before. Presented in a step-by-step format with clear code examples and explanations, the solutions in BizTalk 2013 Recipes help you take advantage of new features and deeper capabilities in BizTalk Server 2013. You'll learn to integrate your solutions with the cloud, configure BizTalk on Azure, work with electronic data interchange (EDI), and deploy the growing range of adapters for integrating with the different systems and technologies that you will encounter. You'll find recipes covering all the core areas: schemas, maps, orchestrations, messaging and more. BizTalk Server 2013 is Microsoft's market-leading platform for orchestrating process flow across disparate applications. BizTalk 2013 Recipes is your key to unlocking the full power of that platform. What you'll learn Automate business processes across different systems in your enterprise. Build, test, and deploy complex maps and schemas. Implement the business rules engine (BRE). Develop business activity monitoring (BAM) solutions. Manage electronic data interchange (EDI) with trading partners. Monitor and troubleshoot automated processes. Deploy BizTalk to Azure and build cloud based solutions. Who this book is for BizTalk 2013 Recipes is aimed at developers working in Microsoft BizTalk Server 2013. Experienced BizTalk developers will find great value in the information around new functionality in the 2013 release such as that for cloud based integrations. Those brand new to BizTalk will appreciate the clear examples of core functionality that help them understand how best to design and deploy BizTalk Server solutions.

Demystifying the power of the Oracle 12c database The Oracle database is the industry-leading relational database management system (RDMS) used from small companies to the world's largest enterprises alike for their most critical business and analytical processing. Oracle 12c includes industry leading enhancements to enable cloud computing and empowers users to manage both Big Data and traditional data structures faster and cheaper than ever before. Oracle 12c For Dummies is the perfect guide for a novice database administrator or an Oracle DBA who is new to Oracle 12c. The book covers what you need to know about Oracle 12c architecture, software tools, and how to successfully manage Oracle databases in the real world. Highlights the important features of Oracle 12c Explains how to create, populate, protect, tune, and troubleshoot a new Oracle database Covers advanced Oracle 12c technologies including Oracle Multitenant—the “pluggable database” concept—as well as several other key changes in this release Make the most of Oracle 12c's improved efficiency, stronger security, and simplified management capabilities with Oracle 12c For Dummies.