This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application—making it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig. Delve into Pig’s data model, including scalar and complex data types Write Pig Latin scripts to sort, group, join, project, and filter your data Use Grunt to work with the Hadoop Distributed File System (HDFS) Build complex data processing pipelines with Pig’s macros and modularity features Embed Pig Latin in Python for iterative processing and other advanced tasks Create your own load and store functions to handle data formats and storage mechanisms Get performance tips for running scripts on Hadoop clusters in less time

SQL Server MVP Deep Dives, Volume 2 lets you learn from the best in the business—64 SQL Server MVPs offer completely new content in this second volume on topics ranging from testing and policy management to integration services, reporting, and performance optimization techniques...and more. About the Technology About the Book To become an MVP requires deep knowledge and impressive skill. Together, the 64 MVPs who wrote this book bring about 1,000 years of experience in SQL Server administration, development, training, and design. This incredible book captures their expertise and passion in 60 concise, hand-picked chapters. SQL Server MVP Deep Dives, Volume 2 picks up where the first volume leaves off, with completely new content on topics ranging from testing and policy management to integration services, reporting, and performance optimization. The chapters fall into five parts: Architecture and Design, Database Administration, Database Development, Performance Tuning and Optimization, and Business Intelligence. What's Inside Discovering servers with PowerShell Using regular expressions in SSMS Tuning the Transaction Log for OLTP Optimizing SSIS for dimensional data Real-time BI Much more About the Reader This unique book is your chance to learn from the best in the business. It offers valuable insights for readers of all levels. About the Authors Written by 64 SQL Server MVPs, the chapters were selected and edited by Kalen Delaney and Section Editors Louis Davidson (Architecture and Design), Paul Randal and Kimberly Tripp (Database Administration), Paul Nielsen (Database Development), Brad McGehee (Performance Tuning and Optimization), and Greg Low (Business Intelligence). Quotes

IBM® invented the virtualization technology starting in the 1960s on the mainframe, and the functionalities evolved and were ported to other platforms and improved the reliability, availability, and serviceability (RAS) features. With virtualization, you achieve better asset utilization, reduced operating costs, and faster responsiveness to changing business demands. Every technology vendor in the SAP ecosystem understands virtualization as slightly different capabilities on different levels (storage and server hardware, processor, memory, I/O resources or the application, and so on). It is important to understand exactly what functionality is offered and how it supports the client’s business requirements. In this IBM Redbooks® publication we focus on server virtualization technologies in the IBM Power Systems™ hardware, AIX®, IBM i, and Linux space and what they mean specifically for SAP applications running on this platform. SAP clients can leverage the technology that the IBM Power Systems platform offers. In this book, we describe the technologies and functions, what they mean, and how they apply to the SAP system landscape.

In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphere™ Streams (V2), a new paradigm and key component of IBM Big Data platform. Data has traditionally been stored in files or databases, and then analyzed by queries and applications. With stream computing, analysis is performed moment by moment as the data is in motion. In fact, the data might never be stored (perhaps only the analytic results). The ability to analyze data in motion is called real-time analytic processing (RTAP). IBM InfoSphere Streams takes a fundamentally different approach to Big Data analytics and differentiates itself with its distributed runtime platform, programming model, and tools for developing and debugging analytic applications that have a high volume and variety of data types. Using in-memory techniques and analyzing record by record enables high velocity. Volume, variety and velocity are the key attributes of Big Data. The data streams that are consumable by IBM InfoSphere Streams can originate from sensors, cameras, news feeds, stock tickers, and a variety of other sources, including traditional databases. It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams. This book is intended for professionals that require an understanding of how to process high volumes of streaming data or need information about how to implement systems to satisfy those requirements. See: http://www.redbooks.ibm.com/abstracts/sg247865.html for the IBM InfoSphere Streams (V1) release.

Organizations face many challenges in managing documents that they need to conduct their business. IBM® Production Imaging Edition V5.0 is the comprehensive product that combines imaging, capture, and automation to provide the capabilities to process and manage high volumes of document imaging over their entire life cycle. This IBM Redbooks® publication introduces Production Imaging Edition, its components, the system architecture, its functions, and its capabilities. It primarily focuses on IBM Datacap Taskmaster Capture V8.0, including how it works, how to design a document image capture solution, and how to implement the solution using Datacap Studio. Datacap Studio is a development tool that designers use to create rules and rule sets, configure a document hierarchy and task profiles, and set up a verification panel for image verification. This book highlights the advanced technologies that are used to create dynamic applications, such as IBM Taskmaster Accounts Payable Capture. It includes an in-depth walkthrough of the dynamic application, Taskmaster Accounts Payable Capture, which provides invaluable insight to designers in developing and customizing their applications. In addition, this book includes information about high availability, scalability, performance, and backup and recovery options for the document imaging solution. It provides known best practices and recommendations for designing and implementing such a solution. This book is for IT architects and professionals who are responsible for creating, improving, designing, and implementing document imaging solutions for their organizations.

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 a variety of platforms, and the 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 discusses the IBM zEnterprise System, an IBM scalable mainframe server. IBM is taking a revolutionary approach by integrating separate platforms under the well-proven System z hardware management capabilities, while extending System z qualities of service to those platforms. The zEnterprise System consists of the IBM zEnterprise 114 central processor complex, the IBM zEnterprise Unified Resource Manager, and the IBM zEnterprise BladeCenter® Extension. The z114 is designed with improved scalability, performance, security, resiliency, availability, and virtualization. The z114 provides up to 18% improvement in uniprocessor speed and up to a 12% increase in total system capacity for z/OS®, z/VM®, and Linux on System z over the z10™ Business Class (BC). The zBX infrastructure works with the z114 to enhance System z virtualization and management through an integrated hardware platform that spans mainframe, POWER7™, and System x technologies. The federated capacity from multiple architectures of the zEnterprise System is managed as a single pool of resources, integrating system and workload management across the environment through the Unified Resource Manager. This book provides an overview of the zEnterprise System and its functions, features, and associated software support. Greater detail is offered in areas relevant to technical planning. This book is intended for systems engineers, consultants, planners, and anyone wanting 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.

: Information is power in supply chain operations, negotiations, continuous improvement programs, and process improvement, and indeed in all aspects of managing an operation. Accurate and timely information can result in better decisions that translate into improvement of bottom line results. The development and effective use of cost modeling as a method to understand the cost of products, services, and processes can help drive improvements in the quality and timeliness of decision making. In the supply chain community an understanding of the actual cost structures of products and services, whether with new or non-partner suppliers, can facilitate fact-based discussions which are more likely to result in agreements that are competitively priced and with fair margins. Further, accurate cost models which are cooperatively developed between supply chain partners can form the basis for joint efforts to reduce non-value-added costs and provide additional focus towards operational improvement. While many organizations feel confident they have an understanding of the cost structure for products and services produced internally, cost modeling often uncovers areas where significant cost improvement can be obtained. Cost of quality is a particular type of internal cost model that analyzes the true costs associated with the production of less than perfect products and services. The development of a cost of quality model can provide insight into how products or services of higher quality can be produced at lower cost. This book provides the business student or professional a concise guide to the creation and effective use of both internal and external cost models. Development of internal cost models is discussed with illustrations showing how they can be deployed to assist in new product development, pricing decisions, make-or-buy decisions and the identification of opportunities for internal process improvement projects. The creation and use of external cost models are discussed providing insight into how their use can drive collaborative improvement efforts among supply chain partners, better prepare for price negotiations, and keep negotiations focused on facts rather than emotions--all while allowing for future discussions with preferred suppliers to focus on more strategic and operational improvement initiatives, and less on pricing. A number of detailed cost model examples are provided to educate on both how cost models are constructed, and to demonstrate how they have been effectively deployed

Much of what constitutes Big Data is information about us. Through our online activities, we leave an easy-to-follow trail of digital footprints that reveal who we are, what we buy, where we go, and much more. This eye-opening book explores the raging privacy debate over the use of personal data, with one undeniable conclusion: once data's been collected, we have absolutely no control over who uses it or how it is used. Personal data is the hottest commodity on the market today—truly more valuable than gold. We are the asset that every company, industry, non-profit, and government wants. Privacy and Big Data introduces you to the players in the personal data game, and explains the stark differences in how the U.S., Europe, and the rest of the world approach the privacy issue. You'll learn about: Collectors: social networking titans that collect, share, and sell user data Users: marketing organizations, government agencies, and many others Data markets: companies that aggregate and sell datasets to anyone Regulators: governments with one policy for commercial data use, and another for providing security

SAP NetWeaver MDM 7.1 Administrator's Guide acts as a complete resource for mastering the administration and configuration of SAP's Master Data Management solution: NetWeaver MDM 7.1. With a hands-on and practical approach, this book connects theoretical understanding with real-world application, tailored specifically for MDM administrators. What this Book will help me do Understand the core concepts and business scenarios associated with SAP NetWeaver MDM. Master the configuration of MDM Console, Servers, repositories, and the underlying database. Learn to maintain repository integrity through backup, restore, and management techniques. Automate data operations like importing and syndicating through MDM tools. Grasp the integration aspects of MDM with other SAP NetWeaver components. Author(s) Uday Rao is an experienced administrator and consultant in SAP systems, specializing in Master Data Management. With years of field experience, Uday brings deep technical insights combined with an approach that simplifies complex administration tasks. His guide emphasizes practical scenarios with step-by-step instructions that empower SAP professionals. Who is it for? This book is ideal for SAP administrators aiming to specialize in Master Data Management with NetWeaver MDM. It targets professionals with foundational knowledge in SAP who are looking to gain expertise in configuring and managing MDM systems. Novices in SAP MDM can still benefit from the guide's structured approach. Whether you're managing corporate data systems or overseeing MDM projects, this guide aligns with your goals.

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios. This guide explains the basics of the document-oriented database and shows you how to set up a Python environment with it. Learn how to read and write to MongoDB, apply idiomatic MongoDB and Python patterns, and use the database with several popular Python web frameworks. You’ll discover how to model your data, write effective queries, and avoid concurrency problems such as race conditions and deadlocks. The recipes will help you: Read, write, count, and sort documents in a MongoDB collection Learn how to use the rich MongoDB query language Maintain data integrity in replicated/distributed MongoDB environments Use embedding to efficiently model your data without joins Code defensively to avoid keyerrors and other bugs Apply atomic operations to update game scores, billing systems, and more with the fast accounting pattern Use MongoDB with the Pylons 1.x, Django, and Pyramid web frameworks

To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment. This handy glossary also includes a chapter of key terms that help define many of these tool categories: NoSQL Databases—Document-oriented databases using a key/value interface rather than SQL MapReduce—Tools that support distributed computing on large datasets Storage—Technologies for storing data in a distributed way Servers—Ways to rent computing power on remote machines Processing—Tools for extracting valuable information from large datasets Natural Language Processing—Methods for extracting information from human-created text Machine Learning—Tools that automatically perform data analyses, based on results of a one-off analysis Visualization—Applications that present meaningful data graphically Acquisition—Techniques for cleaning up messy public data sources Serialization—Methods to convert data structure or object state into a storable format

Your first Business Process Management (BPM) project is a crucial first step on your BPM journey. It is important to begin this journey with a philosophy of change that will enable you to avoid common pitfalls that lead to failed BPM projects, and ultimately, poor BPM adoption. This IBM® Redbooks® publication describes the methodology and best practices that lead to a successful project and how to use that success to scale to enterprise-wide BPM adoption. The intended audience for this book includes all people who participate in the discovery, planning, delivery, deployment, and continuous improvement activities for a business process. These roles include process owners, process participants and subject matter experts (SMEs) from the operational business as well as technologists responsible for delivery including BPM analysts, BPM solution architects, BPM administrators, and BPM developers.

If you're looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. Many IT executives are asking pointed questions about HBase. This book provides meaningful answers, whether you’re evaluating this non-relational database or planning to put it into practice right away. Discover how tight integration with Hadoop makes scalability with HBase easier Distribute large datasets across an inexpensive cluster of commodity servers Access HBase with native Java clients, or with gateway servers providing REST, Avro, or Thrift APIs Get details on HBase’s architecture, including the storage format, write-ahead log, background processes, and more Integrate HBase with Hadoop's MapReduce framework for massively parallelized data processing jobs Learn how to tune clusters, design schemas, copy tables, import bulk data, decommission nodes, and many other tasks

A hands-on guide to leveraging NoSQL databases NoSQL databases are an efficient and powerful tool for storing and manipulating vast quantities of data. Most NoSQL databases scale well as data grows. In addition, they are often malleable and flexible enough to accommodate semi-structured and sparse data sets. This comprehensive hands-on guide presents fundamental concepts and practical solutions for getting you ready to use NoSQL databases. Expert author Shashank Tiwari begins with a helpful introduction on the subject of NoSQL, explains its characteristics and typical uses, and looks at where it fits in the application stack. Unique insights help you choose which NoSQL solutions are best for solving your specific data storage needs. Professional NoSQL: Demystifies the concepts that relate to NoSQL databases, including column-family oriented stores, key/value databases, and document databases. Delves into installing and configuring a number of NoSQL products and the Hadoop family of products. Explains ways of storing, accessing, and querying data in NoSQL databases through examples that use MongoDB, HBase, Cassandra, Redis, CouchDB, Google App Engine Datastore and more. Looks at architecture and internals. Provides guidelines for optimal usage, performance tuning, and scalable configurations. Presents a number of tools and utilities relating to NoSQL, distributed platforms, and scalable processing, including Hive, Pig, RRDtool, Nagios, and more.

The most complete, practical guide to BizTalk Server 2009: an all-new book focused on delivering real, start-to-finish enterprise solutions Pragmatic coverage of every crucial step of BizTalk development: architecture, design, infrastructure, deployment, lifecycle management, and more Fully up to date with the R2 release of BizTalk Server 2009 Not a revision of previous BizTalk Server Unleashed books, but completely rewritten from the ground up Microsoft BizTalk Server 2009 Unleashed is the definitive, pragmatic guide to Microsoft's latest and most powerful version of BizTalk Server. In this book, a team of world-class BizTalk Server 2009 experts bring together the deep practical insights .NET developers need to solve real business problems with BizTalk Server 2009 in any enterprise environment. Drawing on their immense BizTalk experience, the authors present best practices for the entire development lifecycle, from planning and architecture through deployment, and beyond. Writing at just the right level of technical detail for experienced .NET developers now starting out with BizTalk, they cover these and many other crucial issues: " Architecting and designing effective, high-value BizTalk solutions " Working with BizTalk schemas, maps, orchestrations, pipelines, pipeline components, and adapters " Implementing business rules with the Microsoft Business Rules Framework " Creating highly-available, high-performance BizTalk environments " Monitoring business activity " Collaborating effectively among BizTalk developers and users " Using BizTalk's leading-edge RFID capabilities Note: This is a 100% new book, NOT an update to Microsoft BizTalk Server 2004 Unleashed.

IBM Tivoli® Storage Productivity Center is an ideal tool for performing storage management reporting, because it uses industry standards for cross vendor compliance, and it can provide reports based on views from all application servers, all Fibre Channel fabric devices, and storage subsystems from different vendors, both physical and virtual. This IBM® Redbooks® publication is intended for experienced storage managers who want to provide detailed performance reports to satisfy their business requirements. The focus of this book is to use the reports provided by Tivoli Storage Productivity Center for performance management. We do address basic storage architecture in order to set a level playing field for understanding of the terminology that we are using throughout this book. Although this book has been created to cover storage performance management, just as important in the larger picture of Enterprise-wide management are both Asset Management and Capacity Management. Tivoli Storage Productivity Center is an excellent tool to provide all of these reporting and management requirements.

Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in mapping out clear database designs. They are also well-known for being difficult to master. With Database Design Using Entity-Relationship Diagrams, Second Edition, database designers, developers, and students preparing to enter the field can quickly learn the ins and outs of ER diagramming. Building on the success of the bestselling first edition, this accessible text includes a new chapter on the relational model and functional dependencies. It also includes expanded chapters on Enhanced Entity Relationship (EER) diagrams and reverse mapping. It uses cutting-edge case studies and examples to help readers master database development basics and defines ER and EER diagramming in terms of requirements (end user requests) and specifications (designer feedback to those requests). Describes a step-by-step approach for producing an ER diagram and developing a relational database from it Contains exercises, examples, case studies, bibliographies, and summaries in each chapter Details the rules for mapping ER diagrams to relational databases Explains how to reverse engineer a relational database back to an entity-relationship model Includes grammar for the ER diagrams that can be presented back to the user The updated exercises and chapter summaries provide the real-world understanding needed to develop ER and EER diagrams, map them to relational databases, and test the resulting relational database. Complete with a wealth of additional exercises and examples throughout, this edition should be a basic component of any database course. Its comprehensive nature and easy-to-navigate structure makes it a resource that students and professionals will turn to throughout their careers.

This first-to-market tutorial covers everything beginners need to succeed with MariaDB, the open, community-based branch of MySQL. Master trainer Ben Forta introduces all the essentials through a series of quick, easy-to-follow, hands-on lessons. Instead of belaboring database theory and relational design, Forta focuses on teaching solutions for the majority of SQL users who simply want to interact with data. Forta covers all this, and more: Using the MariaDB toolset * Retrieving and sorting data Filtering data using comparisons, wildcards, and full text searching Analyzing data with aggregate functions Performing insert, update, and delete operations Joining relational tables using inner, outer, and self joins Combining queries using unions * Using views Creating and modifying tables, and accessing table schemas Working with stored procedures, cursors, and other advanced database features Managing databases, users, and security privileges This book was reviewed and is supported by MariaDB's developers, Monty Program AB. It contains a foreword by project founder Monty Widenius, primary developer of the original version of MySQL.

IBM® DB2® 9 and 10 for z/OS® have added functions in the areas of security, regulatory compliance, and audit capability that provide solutions for the most compelling requirements. DB2 10 enhances the DB2 9 role-based security with additional administrative and other finer-grained authorities and privileges. This authority granularity helps separate administration and data access that provide only the minimum appropriate authority. The authority profiles provide better separation of duties while limiting or eliminating blanket authority over all aspects of a table and its data. In addition, DB2 10 provides a set of criteria for auditing for the possible abuse and overlapping of authorities within a system. In DB2 10, improvements to security and regulatory compliance focus on data retention and protecting sensitive data from privileged users and administrators. Improvements also help to separate security administration from database administration. DB2 10 also lets administrators enable security on a particular column or particular row in the database complementing the privilege model. This IBM Redbooks® publication provides a detailed description of DB2 10 security functions from the implementation and usage point of view. It is intended to be used by database, audit, and security administrators.

This is the only practical, hands-on guide available to database administrators to secure their Oracle databases. This book will help the DBA to assess their current level of risk as well as their existing security posture. It will then provide practical, applicable knowledge to appropriately secure the Oracle database. The only practical, hands-on guide for securing your Oracle database published by independent experts. Your Oracle database does not exist in a vacuum, so this book shows you how to securely integrate your database into your enterprise.

Written by noted author, blogger, industry analyst, and IT veteran, Greg Schulz, this book covers data storage networks for cloud and virtual environments, from a hardware, software, services, and best practices perspective. Filled with real-world insights, blueprints, and best practices, this vendor- and technology-neutral text provides the tools to achieve efficient, optimized, flexible, scalable, and resilient data storage networking infrastructures. Coverage includes public and private cloud, virtualization, and traditional IT environments.

The deployment of server virtualization technologies in data centers requires significant efforts in providing sufficient network I/O bandwidth to satisfy the demand of virtualized applications and services. For example, every virtualized system can host several dozen network applications and services, and each of these services requires certain bandwidth (or speed) to function properly. Furthermore, because of different network traffic patterns relevant to different service types, these traffic flows may interfere with each other, leading to serious network problems including the inability of the service to perform its functions. The IBM® Virtual Fabric solution for IBM BladeCenter addresses these issues. The solution is based on the IBM BladeCenter H chassis with a 10-Gb Converged Enhanced Ethernet infrastructure built on 10-Gb Ethernet switch modules in the chassis and the Emulex or Broadcom Virtual Fabric Adapters in each blade server.

Master Oracle Real Application Clusters Maintain a dynamic enterprise computing infrastructure with expert instruction from an Oracle ACE. Oracle Database 11g Oracle Real Application Clusters Handbook, Second Edition has been fully revised and updated to cover the latest tools and features. Find out how to prepare your hardware, deploy Oracle Real Application Clusters, optimize data integrity, and integrate seamless failover protection. Troubleshooting, performance tuning, and application development are also discussed in this comprehensive Oracle Press guide. Install and configure Oracle Real Application Clusters Configure and manage diskgroups using Oracle Automatic Storage Management Work with services, voting disks, and Oracle Clusterware Repository Look under the hood of the Cache Fusion and Global Resource Directory operations in Oracle Real Applications Clusters Explore the internal workings of backup and recovery in Oracle Real Application Clusters Employ workload balancing and the Transparent Application Failover feature of an Oracle database Get complete coverage of Stretch Clusters, also known as Metro Clusters Troubleshoot Oracle Clusterware using the most advanced diagnostics available Develop custom Oracle Real Application Clusters applications

Performance problems are rarely "problems" per se. They are more often "crises" during which you're pressured for results by a manager standing outside your cubicle while your phone rings with queries from the help desk. You won't have the time for a leisurely perusal of the manuals, nor to lean back and read a book on theory. What you need in that situation is a book of solutions, and solutions are precisely what Oracle Database 11g Performance Tuning Recipes delivers. Oracle Database 11g Performance Tuning Recipes is a ready reference for database administrators in need of immediate help with performance issues relating to Oracle Database. The book takes an example-based approach, wherein each chapter covers a specific problem domain. Within each chapter are "recipes," showing by example how to perform common tasks in that chapter's domain. Solutions in the recipes are backed by clear explanations of background and theory from the author team. Whatever the task, if it's performance-related, you'll probably find a recipe and a solution in this book. Provides proven solutions to real-life Oracle performance problems Offers relevant background and theory to support each solution Written by a team of experienced database administrators successful in their careers What you'll learn Optimize the use of memory and storage Monitor performance and troubleshoot problems Identify and improve poorly-performing SQL statements Adjust the most important optimizer parameters to your advantage Create indexes that get used and make a positive impact upon performance Automate and stabilize using key features such as SQL Tuning Advisor and SQL Plan Baselines Who this book is for Oracle Database 11g Performance Tuning Recipes is aimed squarely at Oracle Database administrators. The book especially appeals to those administrators desiring to have at their side a ready-to-go set of solutions to common database performance problems.

Every organization has a core set of mission-critical data that must be protected. Security lapses and failures are not simply disruptions—they can be catastrophic events, and the consequences can be felt across the entire organization. As a result, security administrators face serious challenges in protecting the company’s sensitive data. IT staff are challenged to provide detailed audit and controls documentation at a time when they are already facing increasing demands on their time, due to events such as mergers, reorganizations, and other changes. Many organizations do not have enough experienced mainframe security administrators to meet these objectives, and expanding employee skillsets with low-level mainframe security technologies can be time-consuming. The IBM® Security zSecure suite consists of multiple components designed to help you administer your mainframe security server, monitor for threats, audit usage and configurations, and enforce policy compliance. Administration, provisioning, and management components can significantly reduce administration, contributing to improved productivity, faster response time, and reduced training time needed for new administrators. This IBM Redbooks® publication is a valuable resource for security officers, administrators, and architects who wish to better understand their mainframe security solutions.