RMAN is Oracle’s flagship backup and recovery tool, but did you know it’s also an effective database duplication tool? Oracle RMAN Database Duplication is a deep dive into RMAN’s duplication feature set, showing how RMAN can make it so much easier for you as a database administrator to satisfy the many requests from developers and testers for database copies and refreshes for use in their work. You’ll learn to make and refresh duplicate databases with a single command, and of course you can automate and schedule that command so that developers and testers are supplied with regular, known good databases without any manual intervention on your part. Fast and easy provisioning of databases for developers and testers is a driving force in the move to cloud computing and virtualization. RMAN’s robust database duplication feature set plays right into this growing need for ease of provisioning, enabling easy duplication of known-good databases on demand, across operating systems such as between Linux and Solaris, and even across storage environments such as when duplicating from a RAC/ASM environment to a single-node instance using regular file system storage. Oracle RMAN Database Duplication is your thorough guide to providing amazing business value to your organization by way of fast and easy provisioning of database duplicates in service of development and testing projects.

This IBM® Redbooks® publication presents a general introduction to Linear Tape-Open (LTO) technology and the implementation of corresponding IBM products. The high-performance, high-capacity, and cost-effective IBM TS1150 tape drive is included. The book highlights the IBM TS4500 tape library, which is the next-generation storage solution that is designed to help midsize and large enterprises respond to storage challenges. The IBM TS1150 tape drive gives organizations an easy way to deliver fast access to data, improve security, and provide long-term retention for less expense than disk solutions. TS1150 offers high-performance, flexible data storage with support for data encryption. This fifth-generation drive can help protect investments in tape automation by offering compatibility with existing automation. This eleventh edition includes information about the latest enhancements to the IBM Ultrium family of tape drives and tape libraries. In particular, it includes details of the latest IBM LTO Ultrium 6 tape drive technology and its implementation in IBM tape libraries. It contains technical information about each IBM tape product for open systems and includes generalized sections about Small Computer System Interface (SCSI) and Fibre Channel connections and multipath architecture configurations. This edition also includes details about Tape System Library Manager (TSLM), which consolidates and simplifies large TS3500 tape library environments, including the IBM Shuttle Complex. This book also covers tools and techniques for library management. It is intended for anyone who wants to understand more about IBM tape products and their implementation. It is suitable for IBM clients, IBM Business Partners, IBM specialist sales representatives, and technical specialists. If you do not have a background in computer tape storage products, you might need to read other sources of information. In the interest of being concise, topics that are generally understood are not covered in detail.

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.

What are the emerging trends and technologies that will transform the data landscape in coming months? In this report from Strata + Hadoop World co-chair Alistair Croll, you'll learn how the ubiquity of cheap sensors, fast networks, and distributed computing have given rise to several developments that will soon have a profound effect on individuals and society as a whole. Machine learning, for example, has quickly moved from lab tool to hosted, pay-as-you-go services in the cloud. Those services, in turn, are leading to predictive apps that will provide individuals with the right functionality and content at the right time by continuously learning about them and predicting what they'll need. Computational power can produce cognitive augmentation. Report topics include: The swing between centralized and distributed computing Machine learning as a service Personal digital assistants and cognitive augmentation Graph databases and analytics Regulating complex algorithms The pace of real-time data and automation Solving dire problems with big data Implications of having sensors everywhere This report contains many more examples of how big data is starting to reshape business and change behavior, and it's just a small sample of the in-depth information Strata + Hadoop World provides. Pick up this report and make plans to attend one of several Strata + Hadoop World conferences in the San Francisco Bay Area, London, and New York.

In today's business in motion environments, workers expect to be connected to their critical business processes while on-the-go. It is imperative to deliver more meaningful user engagements by extending business processes to the mobile working environments. This IBM® Redbooks® publication provides an overview of the market forces that push organizations to reinvent their process with Mobile in mind. It describes IBM Mobile Smarter Process and explains how the capabilities provided by the offering help organizations to mobile-enable their processes. This book outlines an approach that organizations can use to identify where within the organization mobile technologies can offer the greatest benefits. It provides a high-level overview of the IBM Business Process Manager and IBM Worklight® features that can be leveraged to mobile-enable processes and accelerate the adoption of mobile technologies, improving time-to-value. Key IBM Worklight and IBM Business Process Manager capabilities are showcased in the examples included in this book. The examples show how to integrate with IBM Bluemix™ as the platform to implement various supporting processes. This IBM Redbooks publication discusses architectural patterns for exposing business processes to mobile environments. It includes an overview of the IBM MobileFirst reference architecture and deployment considerations. Through use cases and usage scenarios, this book explains how to build and deliver a business process using IBM Business Process Manager and how to develop a mobile app that enables remote users to interact with the business process while on-the-go, using the IBM Worklight Platform. The target audience for this book consists of solution architects, developers, and technical consultants who will learn the following information: What is IBM Mobile Smarter Process Patterns and benefits of a mobile-enabled Smarter Process IBM BPM features to mobile-enable processes IBM Worklight features to mobile-enable processes Mobile architecture and deployment topology IBM BPM interaction patterns Enterprise mobile security with IBM Security Access Manager and IBM Worklight Implementing mobile apps to mobile-enabled business processes

Delve into the world of big data with 'Learning Hadoop 2', a comprehensive guide to leveraging the capabilities of Hadoop 2 for data processing and analysis. In this book, you will explore the tools and frameworks that integrate with Hadoop, discovering the best ways to design and deploy effective workflows for managing and analyzing large datasets. What this Book will help me do Understand the fundamentals of the MapReduce framework and its applications. Utilize advanced tools such as Samza and Spark for real-time and iterative data processing. Manage large datasets with data mining techniques tailored for Hadoop environments. Deploy Hadoop applications across various infrastructures, including local clusters and cloud services. Create and orchestrate sophisticated data workflows and pipelines with Apache Pig and Oozie. Author(s) Gabriele Modena is an experienced developer and trained data specialist with a keen focus on distributed data processing frameworks. Having worked extensively with big data platforms, Gabriele brings practical insights and a hands-on perspective to technical subjects. His writing is concise and engaging, aiming to render complex concepts accessible. Who is it for? This book is ideal for system and application developers eager to learn practical implementations of the Hadoop framework. Readers should be familiar with the Unix/Linux command-line interface and Java programming. Prior experience with Hadoop will be advantageous, but not necessary.

Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field. In-depth surveys and tutorials on new computer technology Well-known authors and researchers in the field Extensive bibliographies with most chapters Many of the volumes are devoted to single themes or subfields of computer science

Organizations of all sizes are faced with the challenge of managing massive volumes of increasingly valuable data. But storing this data can be costly, and extracting value from the data is becoming more difficult. IT organizations have limited resources but must stay responsive to dynamic environments and act quickly to consolidate, simplify, and optimize their IT infrastructures. The IBM® Storwize® V5000 system provides a smarter solution that is affordable, easy to use, and self-optimizing, which enables organizations to overcome these storage challenges. Storwize V5000 delivers efficient, entry-level configurations that are specifically designed to meet the needs of small and midsize businesses. Designed to provide organizations with the ability to consolidate and share data at an affordable price, Storwize V5000 offers advanced software capabilities that are usually found in more expensive systems. This IBM Redbooks® publication is intended for pre-sales and post-sales technical support professionals and storage administrators. The concepts in this book also relate to the IBM Storwize V3700. This book was written at a software level of Version 7 Release 4.

With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package. The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses. Describes the benefits of distributed computing in simple terms Includes substantial vendor/tool material, especially for open source decisions Covers prominent software packages, including Hadoop and Oracle Endeca Examines GIS and machine learning applications Considers privacy and surveillance issues The book further explores basic statistical concepts that, when misapplied, can be the source of errors. Time and again, big data is treated as an oracle that discovers results nobody would have imagined. While big data can serve this valuable function, all too often these results are incorrect, yet are still reported unquestioningly. The probability of having erroneous results increases as a larger number of variables are compared unless preventative measures are taken. The approach taken by the authors is to explain these concepts so managers can ask better questions of their analysts and vendors as to the appropriateness of the methods used to arrive at a conclusion. Because the world of science and medicine has been grappling with similar issues in the publication of studies, the authors draw on their efforts and apply them to big data.

Learn how to create an Access web app, and move your database into the cloud. This practical book shows you how to design an Access web app for Microsoft Office 365, and convert existing Access desktop databases to a web app as well. You’ll quickly learn your way around the web app design environment, including how to capitalize on its strengths and avoid the pitfalls. You don’t need any special web skills to get started. Discover how to: Make your desktop database compatible with web app table structures Create tables, views, and queries Customize the table selector and work with popup views to provide a navigation interface Implement business rules using the Macro Programming Tools Develop using Office 365 and SharePoint 2013 Use SQL Azure to investigate how your web app is structured Design, test, and troubleshoot Data Macros Understand how security links between a web app and Office 365 Deploy a public facing web app on your Office 365 public website

This IBM® Redbooks® publication positions high availability solutions for IBM Power Systems™ with IBM PowerHA® SystemMirror® Standard and Enterprise Editions (hardware, software, best practices, reference architectures, migration, and tools) with a well-defined and documented deployment model within an IBM Power Systems environment allowing customers a planned foundation for a dynamic high available infrastructure for their enterprise applications. This Redbooks publication documents topics to leverage the strengths of IBM PowerHA SystemMirror Standard and Enterprise Editions 7.1.3 for IBM Power Systems to solve customers' application high availability challenges, and maximize systems' availability, and management. This Redbooks publication focuses on providing the readers with technical information and references on the capabilities of each edition, functionalities, usability, and features that make IBM PowerHA SystemMirror a premier solution for high availability and disaster recovery for IBM Power Systems servers. This Redbooks publication helps strengthen the position of the IBM PowerHA SystemMirror solution with a well-defined and documented best practices, usability, functionality, migration and deployment model within an IBM POWER® system virtualized environment allowing customers a planned foundation for business resilient infrastructure solutions. This Redbooks publication is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing high availability solutions and support with the IBM PowerHA SystemMirror on IBM POWER.

This IBM® Redbooks® publication helps you with the planning, installation, and configuration of the new IBM Linear Tape File System™ (LTFS) Enterprise Edition (EE) V1.1.1.2 for the IBM TS3310, IBM TS3500, and IBM TS4500 tape libraries. LTFS EE enables the use of LTFS for the policy management of tape as a storage tier in an IBM General Parallel File System (IBM GPFS™) based environment and helps encourage the use of tape as a critical tier in the storage environment. LTFS EE can play a major role in reducing the cost of storage for data that does not need the access performance of primary disk. The use of LTFS EE to replace disks with tape in Tier 2 and Tier 3 storage can improve data access over other storage solutions because it improves efficiency and streamlines management for files on tape. LTFS EE simplifies the use of tape by making it transparent to the user and manageable by the administrator under a single infrastructure. This publication is intended for anyone who wants to understand more about LTFS EE planning and implementation. This book is suitable for IBM clients, IBM Business Partners, IBM specialist sales representatives, and technical specialists.

Apache ZooKeeper Essentials is your comprehensive guide to understanding and utilizing Apache ZooKeeper for coordinating services in distributed systems. This book offers a clear and practical approach to ZooKeeper's architecture and programming, focusing on its application in real-world scenarios. What this Book will help me do Understand the architecture and operational design of Apache ZooKeeper. Effectively use ZooKeeper to coordinate distributed systems. Implement ZooKeeper programming using languages such as Java, C, or Python. Administer and manage ZooKeeper servers and clusters. Utilize tools like Apache Curator to enhance your ZooKeeper experience. Author(s) None Haloi, the author of Apache ZooKeeper Essentials, brings extensive experience in distributed systems and software development. Their expertise ensures a clear and approachable style, ideal for technical learners. Their passion for sharing knowledge is evident through practical examples and focus on real-world applications. Who is it for? This book is ideal for software developers, system architects, and engineers who are looking to enhance their knowledge of distributed systems. Readers should have foundational programming knowledge in languages like Java, C, or Python. While prior experience with ZooKeeper isn't necessary, familiarity with distributed computing will enable you to gain the most from this guide. If you're interested in learning how to leverage ZooKeeper effectively, this book is for you.

The "ElasticSearch Cookbook - Second Edition" is a hands-on guide featuring over 130 advanced recipes to help you harness the power of ElasticSearch, a leading search and analytics engine. Through insightful examples and practical guidance, you'll learn to implement efficient search solutions, optimize queries, and manage ElasticSearch clusters effectively. What this Book will help me do Design and configure ElasticSearch topologies optimized for your specific deployment needs. Develop and utilize custom mappings to optimize your data indexes. Execute advanced queries and filters to refine and retrieve search results effectively. Set up and monitor ElasticSearch clusters for optimal performance. Extend ElasticSearch capabilities through plugin development and integrations using Java and Python. Author(s) Alberto Paro is a technology expert with years of experience working with ElasticSearch, Big Data solutions, and scalable cloud architecture. He has authored multiple books and technical articles on ElasticSearch, leveraging his extensive knowledge to provide practical insights. His approachable and detail-oriented style makes complex concepts accessible to technical professionals. Who is it for? This book is best suited for software developers and IT professionals looking to use ElasticSearch in their projects. Readers should be familiar with JSON, as well as basic programming skills in Java. It is ideal for those who have an understanding of search applications and want to deepen their expertise. Whether you're integrating ElasticSearch into a web application or optimizing your system's search capabilities, this book will provide the skills and knowledge you need.

Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships.

This IBM® Redbooks® publication focuses on developing Web service applications in IBM CICS®. It takes the broad view of developing and modernizing CICS applications for XML, Web services, SOAP, and SOA support, and lays out a reference architecture for developing these kinds of applications. We start by discussing Web services in general, then review how CICS implements Web services. We offer an overview of different development approaches: bottom-up, top-down, and meet-in-the-middle. We then look at how you would go about exposing a CICS application as a Web service provider, again looking at the different approaches. The book then steps through the process of creating a CICS Web service requester. We follow this by looking at CICS application aggregation (including 3270 applications) with IBM Rational® Application Developer for IBM System z® and how to implement CICS Web Services using CICS Cloud technology. The first part is concluded with hints and tips to help you when implementing this technology. Part two of this publication provides performance figures for a basic Web service. We investigate some common variables and examine their effects on the performance of CICS as both a requester and provider of Web services.

This IBM Redbooks publication describes and demonstrates common, prescriptive scenarios for setting up disaster recovery for common workloads using IBM WebSphere Application Server, IBM DB2, and WebSphere MQ between two IBM PureApplication System racks using the features in PureApplication System V2. The intended audience for this book is pattern developers and operations team members who are setting up production systems using software patterns from IBM that must be highly available or able to recover from a disaster (defined as the complete loss of a data center).

Master Apache Solr with the comprehensive 'Solr Cookbook - Third Edition', which introduces over 100 practical recipes to help you exploit the full potential of Apache Solr versions 4.x to 5. By following this book, you'll gain actionable insights and solutions to solve real-world problems effectively with Solr. What this Book will help me do Effectively index data from various sources and formats into Solr for optimized searches. Utilize and configure faceting to enhance aggregated data insights. Implement and configure SolrCloud for scalable and robust search infrastructures. Identify and resolve performance bottlenecks in Solr and Solr clusters. Develop and deploy advanced query features like autocomplete and document highlighting. Author(s) Rafal Kuc is a seasoned software architect with years of experience working with Apache Solr in production environments. He specializes in search technologies, distributed systems, and empowering developers with actionable knowledge. Rafal approaches writing with a practical mindset, focusing on how to solve real-world challenges efficiently. Who is it for? This book is ideal for intermediate Solr developers, system architects, or IT professionals responsible for search systems. It assumes a basic familiarity with Solr but provides deep dives into advanced functionalities and configurations. Readers looking to enhance their understanding of Solr 4.x and 5.x capabilities will find this book valuable. Whether you're improving search performance or exploring new Solr features, this book guides you step-by-step.

This IBM® Redbooks® publication will help you install, configure, and use IBM InfoSphere® Optim™ Workload Replay (InfoSphere Workload Replay), a web-based tool that lets you capture real production SQL workload data and then replay the workload data in a pre-production environment. With InfoSphere Workload Replay, you can set up and run realistic tests for enterprise database changes without the need to create a complex client and application infrastructure to mimic your production environment. The publication goes through the steps to install and configure the InfoSphere Workload Replay appliance and related database components for IBM DB2® for Linux, UNIX, and Windows and for DB2 for IBM z/OS®. The capture, replay, and reporting process, including user ID and roles management, is described in detail to quickly get you up and running. Ongoing operations, such as appliance health monitoring, starting and stopping the product, and backup and restore in your day-to-day management of the product, extensive troubleshooting information, and information about how to integrate InfoSphere Workload Replay with other InfoSphere products are covered in separate chapters.

Data is the new currency of business, the most critical asset of the modern organization. In fact, enterprises that can gain business insights from their data are twice as likely to outperform their competitors. Nevertheless, 72% of them have not started, or are only planning, big data activities. In addition, organizations often spend too much money and time managing where their data is stored. The average firm purchases 24% more storage every year, but uses less than half of the capacity that it already has. The IBM® Storwize® family, including the IBM SAN Volume Controller Data Platform, is a storage virtualization system that enables a single point of control for storage resources. This functionality helps support improved business application availability and greater resource use. The following list describes the business objectives of this system: To manage storage resources in your information technology (IT) infrastructure To make sure that those resources are used to the advantage of your business To do it quickly, efficiently, and in real time, while avoiding increases in administrative costs Storwize functions benefit all virtualized storage. For example, IBM Easy Tier® optimizes use of flash memory. In addition, IBM Real-time Compression™ enhances efficiency even further by enabling the storage of up to five times as much active primary data in the same physical disk space. Finally, high-performance thin provisioning helps automate provisioning. These benefits can help extend the useful life of existing storage assets, reducing costs. Integrating these functions into Storwize also means that they are designed to operate smoothly together, reducing management effort. This IBM Redbooks® publication provides information about the latest features and functions of the Storwize V7000 Gen2 and software version 7.3 implementation, architectural improvements, and Easy Tier.

Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt. You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century. You’ll explore: Data scientist skills—and why every company needs a Spock How the benefits of giving company-wide access to data outweigh the costs Why data-driven organizations use the scientific method to explore and solve data problems Key questions to help you develop a research-specific process for tackling important issues What to consider when assembling your data team Developing processes to keep your data team (and company) engaged Choosing technologies that are powerful, support teamwork, and easy to use and learn

Privacy for the Smart Grid provides easy-to-understand guidance on data privacy issues and the implications for creating privacy risk management programs, along with privacy policies and practices required to ensure Smart Grid privacy. It addresses privacy in electric, natural gas, and water grids from two different perspectives of the topic, one from a Smart Grid expert and another from a privacy and information security expert. While considering privacy in the Smart Grid, the book also examines the data created by Smart Grid technologies and machine-to-machine applications.

Digital Privacy in the Marketplace focuses on the data ex-changes between marketers and consumers, with special ttention to the privacy challenges that are brought about by new information technologies. The purpose of this book is to provide a background source to help the reader think more deeply about the impact of privacy issues on both consumers and marketers. It covers topics such as: why privacy is needed, the technological, historical and academic theories of privacy, how market exchange af-fects privacy, what are the privacy harms and protections available, and what is the likely future of privacy.

This best selling management book is a true classic. If you want to be a model manager, keep this new, even better 3rd edition close at hand. Key Management Models has the winning combination of brevity and clarity, giving you short, practical overviews of the top classic and cutting edge management models in an easy-to-use, ready reference format. Whether you want to remind yourself about models you’ve already come across, or want to find new ones, you’ll find yourself referring back to it again and again. It's the essential guide to all the management models you’ll ever need to know about. Includes the classic and essential management models from the previous editions. Thoroughly updated to include cutting edge new models. Two-colour illustrations and case studies throughout. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Hone your analytic talents and become part of the next big thing Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. Learn exactly what "big data" means, why it's so important across all industries, and how you can obtain one of the most sought-after skill sets of the decade. This book walks you through the process of identifying your ideal big data job, shaping the perfect resume, and nailing the interview, all in one easy-to-read guide. Companies from all industries, including finance, technology, medicine, and defense, are harnessing massive amounts of data to reap a competitive advantage. The demand for big data professionals is growing every year, and experts forecast an estimated 1.9 million additional U.S. jobs in big data by 2015. Whether your niche is developing the technology, handling the data, or analyzing the results, turning your attention to a career in big data can lead to a more secure, more lucrative career path. Getting a Big Data Job For Dummies provides an overview of the big data career arc, and then shows you how to get your foot in the door with topics like: The education you need to succeed The range of big data career path options An overview of major big data employers A plan to develop your job-landing strategy Your analytic inclinations may be your ticket to long-lasting success. In a highly competitive job market, developing your data skills can create a situation where you pick your employer rather than the other way around. If you're ready to get in on the ground floor of the next big thing, Getting a Big Data Job For Dummies will teach you everything you need to know to get started today.