Apache Camel Developer's Cookbook serves as an indispensable reference for Apache Camel developers, providing actionable recipes that you can quickly apply to your project needs. With this book, you will master common integration patterns, troubleshoot and debug routes, and secure robust integrations with practical guides that are easy to follow and implement. What this Book will help me do Understand the structure and lifecycle of an Apache Camel integration project. Implement Enterprise Integration Patterns effectively in your integrations. Perform advanced message transformation and routing tasks fluently using Apache Camel. Gain proficiency in testing and debugging your Apache Camel routes for robustness. Apply security measures and explore transaction management for secure and reliable integrations. Author(s) The authors of Apache Camel Developer's Cookbook are seasoned experts in middleware and integration technologies, with years of experience working with Apache Camel. They bring a practical, hands-on approach to this book, focusing on actionable tips that reflect real-world scenarios. Their passion for efficient integration solutions shines through in every recipe, ensuring readers are well-equipped to tackle their projects. Who is it for? This book is ideal for Java developers with some prior exposure to Apache Camel who are looking to deepen their understanding of the tool. If you are building or maintaining enterprise integration solutions and wish to enhance your practical knowledge, this book is for you. It's suitable for both developers working on existing Camel projects and those starting new ones. Whether you're integrating messaging systems, APIs, or handling data workflows, this cookbook provides the answers you need.

The Google Maps JavaScript API Cookbook is your go-to guide for mastering Google's powerful Maps JavaScript API. With its recipe-based approach, it helps you quickly learn how to include maps on websites and mobile devices, customize functionality, integrate advanced GIS tools, and make the most of Google's mapping power. What this Book will help me do Create customized maps with JavaScript for mobile and web applications. Integrate GIS services like GeoServer and ArcGIS with Google APIs. Add and manage vector and raster layers to enrich visual data. Work with geocoding and direction services for added intelligence. Extend API functionalities using external libraries and datasets. Author(s) None Dincer and None Uraz are experienced GIS developers with a strong background in mapping technologies. They have utilized the Google Maps JavaScript API in numerous real-world projects over years of professional experience. Their approachable writing style ensures that you can learn complex topics with ease. Who is it for? This book is designed for JavaScript developers who aim to enhance their skills by integrating mapping functionalities into their applications. It is suitable for those at an intermediate programming level, looking to include maps in web and mobile platforms. If you're interested in GIS and leveraging Google APIs for robust mapping solutions, this is for you.

The 'SQL Server Analysis Services 2012 Cube Development Cookbook' equips you with the practical skills needed to design and implement OLAP cubes using both multidimensional and tabular models. By working through hands-on recipes, you'll quickly gain the expertise to create robust Business Intelligence solutions with SQL Server Analysis Services. What this Book will help me do Build and enhance multidimensional and tabular models for effective data analysis. Implement key OLAP features like dimensions, cubes, actions, and aggregations. Scale and optimize your Business Intelligence solutions for enterprise-level performance. Utilize MDX and DAX languages proficiently to query and manipulate data. Develop skills in securing, monitoring, and troubleshooting SQL Server Analysis Services. Author(s) None Dewald is an experienced business intelligence professional with years of hands-on expertise with SQL Server Analysis Services. His approach to teaching focuses on practical application and equipping his audience with tools to be successful in deploying and maintaining BI solutions. Who is it for? This book is perfect for BI and ETL developers who work with SQL Server Analysis Services to build OLAP cubes. It assumes familiarity with relational database management systems, Excel, and SQL. If you're looking to deepen your understanding of Microsoft's BI stack and improve your practical skills in SSAS, this book is for you.

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.

"SAP HANA Cookbook" is a hands-on guide to learning SAP HANA, a powerful in-memory database platform. Through over 50 practical recipes, you'll understand the inner workings of SAP HANA's architecture, and learn techniques to optimize operations and analytics. What this Book will help me do Understand SAP HANA's architecture and in-memory capabilities. Effectively load and integrate data from various source systems. Develop and optimize SAP HANA models such as attribute, analytical, and calculation views. Gain proficiency in using the SAP HANA SQL scripting language. Master user and role management for secure and efficient SAP HANA operation. Author(s) This book is authored by industry specialists with extensive experience in SAP HANA technology. Drawing from real-world projects, the authors provide nuanced insights and practical guidance, enabling readers to implement SAP HANA solutions effectively. Who is it for? This book is suited for solution architects, developers, and managers seeking to develop expertise in SAP HANA. Whether you are new to SAP technologies or looking to deepen your skillset, this resource provides comprehensive and actionable guidance.

eliminates the complexity anddemonstrates how to build both inbound and outbound EDI 834 processes inBizTalk server that follow the required patterns for integrations with theseexchanges. Archiving, mapping,reconstituting EDI 837 data, exception handling and advanced logging andreporting (without the need for BAM!) are all covered in enough detail to allowyou to implement your own fully functional solution. BizTalk 2013 EDI for Healthcare – EDI 834Enrollment Solutions The Affordable CareAct and the requirements to integrate with state Exchanges have securedBizTalk's role with integrations within the healthcare industry. EDI 834 documents are the heart to allintegrations, dealing with enrollment and the maintenance of enrollments. In order to successfully integrate with theexchanges, companies are required to implement a number of architectural componentsthat can be daunting and complex to work through. High-quality resources for IT professional to handle these challenges are sorely needed, and this resource has been designed to provide concise solutions. What you'll learn Learn how to develop complete end to end EDI 834 solutions, both inbound and outbound Create a solution that demonstrates how to integrate with state Exchanges Explore options for custom pipeline components, archiving patterns, lookups Detailed information for advanced 834 EDI mapping Who this book is for BizTalk administrators and developers, as well as management personnel connected with these positions.

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 is the most authoritative and complete guide to planning, implementing, measuring, and optimizing world-class supply chain warehousing processes. Straight from the Council of Supply Chain Management Professionals (CSCMP), it explains each warehousing option, basic warehousing storage and handling operations, strategic planning, and the effects of warehousing design and service decisions on total logistics costs and customer service. This reference introduces crucial concepts including product handling, labor management, warehouse support, and extended value chain processes, facility ownership, planning, and strategy decisions; materials handling; warehouse management systems; Auto-ID, AGVs, and much more. Step by step, The Definitive Guide to Warehousing helps you optimize all facets of warehousing, one of the most pivotal areas of supply chain management. Coverage includes: Basic warehousing management concepts and their essential role in demand fulfillment Key elements, processes, and interactions in warehousing operations management Principles and strategies for effectively planning and managing warehouse operations Principles and strategies for designing materials handling operations in warehousing facilities Critical roles of technology in managing warehouse operations and product flows Best practices for assessing the performance of warehousing operations using standard metrics and frameworks

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.

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real-time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution. What you'll learn Major considerations in building a big data solution Big data application architectures problems for specific industries What are the components one needs to build and end-to-end big data solution? Does one really need a real-time big data solution or an off-line analytics batch solution? What are the operations and support architectures for a big data solution? What are the scalability considerations, and options for a Hadoop installation? Who this book is for CIOs, CTOs, enterprise architects, and software architects Consultants, solution architects, and information management (IM) analysts who want to architect a big data solution for their enterprise

Maximize the New and Improved Features of Oracle Database 12 c Written by Master Principle Database Expert, Oracle, and Oracle ACE Robert G. Freeman, this Oracle Press guide describes the myriad new and enhanced capabilities available in the latest Oracle Database release. Inside, you’ll find everything you need to know to get up and running quickly on Oracle Database 12 c. Supported by running commentary from world-renowned Oracle expert Tom Kyte, and with additional contributions by Oracle experts Eric Yen and Scott Black, Oracle Database 12c New Features offers detailed coverage of: Installing Oracle Database 12 c Architectural changes, such as Oracle Multitenant The most current information on upgrading and migrating to Oracle Database 12 c The pre-upgrade information tool and parallel processing for database upgrades Oracle Real Application Clusters new features, such as Oracle Flex Cluster, Oracle Flex Automatic Storage Management, and Oracle Automatic Storage Management Cluster File System Oracle RMAN enhancements, including cross-platform backup and recovery Oracle Data Guard improvements, such as Fast Sync, and Oracle Active Data Guard new features, such as Far Sync SQL, PL/SQL, DML, and DDL new features Improvements to partitioning manageability, performance, and availability Advanced business intelligence and data warehousing capabilities Security enhancements, including privileges analysis, data redaction, and new administrative-level privileges Manageability, performance, and optimization improvements

DFSMShsm provides space, availability, and tape mount management functions in a storage device hierarchy for both system-managed, and non-system-managed storage environments. DFSMShsm allows you to automate your storage management tasks, improving the productivity by effectively managing the storage devices. This IBM® Redbooks® publication provides technical storage specialists and storage administrators with the basic DFSMShsm knowledge for implementing and customizing DFSMShsm at the IBM z/OS® V1.13 level. Hints and tips about the daily operation, monitoring, and tuning are included. Sysplex environment considerations are also included. If you are implementing DFSMShsm for the first time, you will find valuable information for exploiting the DFSMShsm functions. If you are experienced, you will find that this publication can be used as an update to the latest DFSMShsm functions, and it shows how to use those functions in an existing DFSMShsm installation.

This IBM® Redbooks® publication gives a broad understanding of IBM IMS™ integration and connectivity solutions to access applications and data stores across your enterprise architecture. As an application developer, architect, systems integrator, or systems programmer, there is important information that is available in this book that pertains to your responsibilities to continue to include the proven performance, data integrity, and workload distribution that is available from IMS in to selected projects that are related to your entire enterprise. This book updates and adds to the information in the following IBM Redbooks publications: IMS e-business Connectors: A Guide to IMS Connectivity, SG24-6514 IMS Connectivity in an On Demand Environment: A Practical Guide to IMS Connectivity, SG24-6794 Powering SOA Solutions with IMS, SG24-7662 IBM IMS Version 12 Technical Overview, SG24-7972 IMS 12: The IMS Catalog, REDP-4812 Rethink Your Mainframe Applications: Reasons and Approaches for Extension, Transformation, and Growth, REDP-4938 Please note that the additional material referenced in the text is not available from IBM.

Web mapping technologies continue to evolve at an incredible pace. Technology is but one facet of web map creation, however. Map design, aesthetics, and user-interactivity are equally important for effective map communication. From interactivity to graphical user interface design, from symbolization choices to animation, and from layout to typeface and color selection, Web Cartography offers the first comprehensive overview and guide for designing beautiful and effective web maps for a variety of devices. Written for those with a basic understanding of mapmaking, but who may not have an in-depth knowledge of web design, this book explains how to create effective interaction, animation, and layouts for maps in online and mobile platforms. Concept-driven, this reference emphasizes cartographic principles for web and mobile map design over specific software techniques. It focuses on key design concepts that will remain true regardless of software technologies used. The book is supplemented with a website providing links to stellar web maps, video tutorials and lectures, do-it-yourself labs, map critique exercises, and links to others’ tutorials. Approachable, clear, and concise, the book provides a nontechnical, approachable guide to map design for the web. It provides best practices for map communication, based on spatial data visualization and graphic design theory. By carefully avoiding overly technical jargon, it provides a solid launching pad from which students, practitioners, and innovators can begin to design aesthetically pleasing and intuitive web maps.

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.

The popularity of the Internet and the affordability of IT hardware and software have resulted in an explosion of applications, architectures, and platforms. Workloads have changed. Many applications, including mission-critical ones, are deployed on various platforms, and the IBM® System z® design has adapted to this change. It takes into account a wide range of factors, including compatibility and investment protection, to match the IT requirements of an enterprise. This IBM Redbooks® publication addresses the new IBM zEnterprise® System. This system consists of the IBM zEnterprise EC12 (zEC12), an updated IBM zEnterprise Unified Resource Manager, and the IBM zEnterprise BladeCenter® Extension (zBX) Model 003. The zEC12 is designed with improved scalability, performance, security, resiliency, availability, and virtualization. The superscalar design allows the zEC12 to deliver a record level of capacity over the prior System z servers. It is powered by 120 of the world's most powerful microprocessors. These microprocessors run at 5.5 GHz and are capable of running more than 75,000 millions of instructions per second (MIPS). The zEC12 Model HA1 is estimated to provide up to 50% more total system capacity than the IBM zEnterprise 196 (z196) Model M80. The zBX Model 003 infrastructure works with the zEC12 to enhance System z virtualization and management. It does so through an integrated hardware platform that spans mainframe, IBM POWER7®, and IBM System x® technologies. Through the Unified Resource Manager, the zEnterprise System is managed as a single pool of resources, integrating system and workload management across the environment. This book provides information about the zEnterprise System and its functions, features, and associated software support. Greater detail is offered in areas relevant to technical planning. It is intended for systems engineers, consultants, planners, and anyone who wants to understand the zEnterprise System functions and plan for their usage. It is not intended as an introduction to mainframes. Readers are expected to be generally familiar with existing IBM System z® technology and terminology.

Master Oracle NoSQL Database Enable highly reliable, scalable, and available data. Oracle NoSQL Database: Real-Time Big Data Management for the Enterprise shows you how to take full advantage of this cost-effective solution for storing, retrieving, and updating high-volume, unstructured data. The book covers installation, configuration, application development, capacity planning and sizing, and integration with other enterprise data center products. Real-world examples illustrate the concepts presented in this Oracle Press guide. Understand Oracle NoSQL Database architecture and the underlying data storage engine, Oracle Berkeley DB Install and configure Oracle NoSQL Database for optimal performance Develop complex, distributed applications using a rich set of APIs Read and write data into the Oracle NoSQL Database key-value store Apply an Avro schema to the value portion of the key-value pair using Avro bindings Learn best practices for capacity planning and sizing an enterpriselevel Oracle NoSQL Database deployment Integrate Oracle NoSQL Database with Oracle Database, Oracle Event Processing, and Hadoop Code examples from the book are available for download at www.OraclePressBooks.com.

Novel approaches and tools have emerged to tackle the challenges of Big Data. Moreover, the technology required for Big Data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications.