Unlock the full potential of Oracle's API Management Solution 12c with this comprehensive guide. Through a practical case study, you'll master how to implement API strategies, develop and manage APIs, and leverage Oracle's tools for API governance and community management. This book equips you with the knowledge needed to align API functionality with business goals. What this Book will help me do Master the principles of API management and the differences between API Management and SOA Governance. Learn how to define and implement an API management strategy aligned with business drivers. Understand the intricacies of Oracle's API Management Solution components: OAC, OAPIM, and OAG. Explore hands-on use cases for applying API management in organizational scenarios. Acquire skills in deploying Oracle API Management products with tips for real-world implementation. Author(s) None Carrasco is an experienced technical architect specializing in SOA Governance and API Management. With a career dedicated to exploring Oracle's solutions, they bring hands-on expertise in applying technical concepts to solve real-world problems. Known for their clear and structured teaching, None ensures readers gain practical knowledge to drive value through technology. Who is it for? This book is ideal for Enterprise Architects, Solution Architects, Technical Architects, and API consultants seeking to deepen their understanding of API management with the Oracle 12c suite. If you're familiar with basic IT infrastructure concepts and looking to integrate business priorities with API development processes, this guide is tailored for you.

SAP is a market leader in enterprise business application software. SAP solutions provide a rich set of composable application modules, and configurable functional capabilities that are expected from a comprehensive enterprise business application software suite. In most cases, companies that adopt SAP software remain heterogeneous enterprises running both SAP and non-SAP systems to support their business processes. Regardless of the specific scenario, in heterogeneous enterprises most SAP implementations must be integrated with a variety of non-SAP enterprise systems: Portals Messaging infrastructure Business process management (BPM) tools Enterprise Content Management (ECM) methods and tools Business analytics (BA) and business intelligence (BI) technologies Security Systems of record Systems of engagement The tooling included with SAP software addresses many needs for creating SAP-centric environments. However, the classic approach to implementing SAP functionality generally leaves the business with a rigid solution that is difficult and expensive to change and enhance. When SAP software is used in a large, heterogeneous enterprise environment, SAP clients face the dilemma of selecting the correct set of tools and platforms to implement SAP functionality, and to integrate the SAP solutions with non-SAP systems. This IBM® Redbooks® publication explains the value of integrating IBM software with SAP solutions. It describes how to enhance and extend pre-built capabilities in SAP software with best-in-class IBM enterprise software, enabling clients to maximize return on investment (ROI) in their SAP investment and achieve a balanced enterprise architecture approach. This book describes IBM Reference Architecture for SAP, a prescriptive blueprint for using IBM software in SAP solutions. The reference architecture is focused on defining the use of IBM software with SAP, and is not intended to address the internal aspects of SAP components. The chapters of this book provide a specific reference architecture for many of the architectural domains that are each important for a large enterprise to establish common strategy, efficiency, and balance. The majority of the most important architectural domain topics, such as integration, process optimization, master data management, mobile access, Enterprise Content Management, business intelligence, DevOps, security, systems monitoring, and so on, are covered in the book. However, there are several other architectural domains which are not included in the book. This is not to imply that these other architectural domains are not important or are less important, or that IBM does not offer a solution to address them. It is only reflective of time constraints, available resources, and the complexity of assembling a book on an extremely broad topic. Although more content could have been added, the authors feel confident that the scope of architectural material that has been included should provide organizations with a fantastic head start in defining their own enterprise reference architecture for many of the important architectural domains, and it is hoped that this book provides great value to those reading it. This IBM Redbooks publication is targeted to the following audiences: Client decision makers and solution architects leading enterprise transformation projects and wanting to gain further insight so that they can benefit from the integration of IBM software in large-scale SAP projects. IT architects and consultants integrating IBM technology with SAP solutions.

Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you’ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them

Pro MongoDB Development is a critical reference for anyone using MongoDB, a NoSQL database based on the BSON (binary JSON) document model. The book explores many aspects of implementing MongoDB in web applications, whether you are using Java, PHP, Ruby, and JavaScript. Noted expert Deepak Vohra walks you through accessing MongoDB databases with all these languages and working with various other technologies and databases. Vohra discusses using Java EE frameworks Kundera and Spring Data with MongoDB. You learn the nuts and bolts of migrating data from other NoSQL databases (Apache Cassandra and Couchbase) and from relational databases (Oracle Database). And, because NoSQL databases are commonly used with the Hadoop ecosystem, the book also covers using MongoDB with Apache Hive. Each chapter includes details about the software you need and hands on examples of working with MongoDB and these technologies so you know exactly what to do, whatever your MongoDB implementation requires.

This comprehensive guide introduces you to Amazon's DynamoDB, a NoSQL database designed for high scalability and performance. Using this book, you will learn how to build robust web and mobile applications on DynamoDB and integrate it seamlessly with other AWS services for a complete cloud solution. What this Book will help me do Understand the key design concepts of DynamoDB and leverage its performance and scalability in your projects. Learn best practices for operating and managing DynamoDB tables, including optimizing throughput and designing efficient indexes. Master techniques for securing data in DynamoDB, including encryption and access management approaches. Explore integration strategies with other AWS services such as S3, EMR, and Lambda, to develop complex, real-world applications. Learn cost-effective solutions and tips for managing DynamoDB usage to avoid unnecessary expenses while maximizing resources. Author(s) None Deshpande, an expert in AWS and NoSQL databases, brings years of practical experience and engineering best practices to this book. With a strong focus on clear and actionable insights, Deshpande is dedicated to enabling developers to unlock the full potential of DynamoDB and related services for scalable application development. Who is it for? This book is most suited for developers and architects familiar with AWS who aim to deepen their understanding of DynamoDB. It is ideal for individuals looking to harness NoSQL databases for robust and scalable application solutions. The topics covered range from foundational knowledge to advanced integrations, making the book approachable yet comprehensive for both learners and seasoned practitioners.

As IBM® Scale Out Network Attached Storage (SONAS) is adopted, it is important to provide information about planning, installation, and daily administration. This IBM Redbooks® publication also describes leading tuning practices information gained by those who implement and support SONAS. These preferred practices are based on hands-on experience from the field. Monitoring of the SONAS system is included. This IBM Redbooks publication provides information about IBM SONAS features and function at the 1.5.1 level. This book is the companion to the IBM SONAS Implementation Guide, SG24-7962 IBM Redbooks publication. It is intended for readers who have implemented SONAS and are responsible for daily administration and monitoring.

IBM® DB2® Version 11.1 for z/OS® (DB2 11 for z/OS or just DB2 11 throughout this book) is the fifteenth release of DB2 for IBM MVS™. The DB2 11 environment is available either for new installations of DB2 or for migrations from DB2 10 for z/OS subsystems only. This IBM Redbooks® publication describes enhancements that are available with DB2 11 for z/OS. The contents help database administrators to understand the new extensions and performance enhancements, to plan for ways to use the key new capabilities, and to justify the investment in installing or migrating to DB2 11. Businesses are faced with a global and increasingly competitive business environment, and they need to collect and analyze ever increasing amounts of data (Figure 1). Governments also need to collect and analyze large amounts of data. The main focus of this book is to introduce recent DB2 capability that can be used to address challenges facing organizations with storing and analyzing exploding amounts of business or organizational data, while managing risk and trying to meet new regulatory and compliance requirements. This book describes recent extensions to DB2 for z/OS in V10 and V11 that can help organizations address these challenges.

This IBM® Redbooks® publication documents the strength and value of the IBM security strategy with IBM z Systems hardware and software (referred to in this book by the previous product name, IBM System z®). In an age of increasing security consciousness and more dangerous and advanced persistent threats, System z provides the capabilities to address today’s business security challenges. This book explores how System z hardware is designed to provide integrity, process isolation, and cryptographic capability to help address security requirements. We highlight the features of IBM z/OS® and other operating systems that offer a variety of customizable security elements. We also describe z/OS and other operating systems and additional software that use the building blocks of System z hardware to meet business security needs. We explore these from the perspective of an enterprise security architect and how a modern mainframe must fit into an enterprise security architecture. This book is part of a three-volume series that focuses on guiding principles for optimized mainframe security configuration within a holistic enterprise security architecture. The intended audience includes enterprise security architects, planners, and managers who are interested in exploring how the security design and features of the System z platform, the z/OS operating system, and associated software address current issues, such as data encryption, authentication, authorization, network security, auditing, ease of security administration, and monitoring.

Covers Oracle DBMS versions 10, 11, 12, and XE Sams Teach Yourself Oracle PL/SQL in 10 Minutes offers straightforward, practical answers when you need fast results. By working through the book’s 26 lessons of 10 minutes or less, you’ll learn what you need to know to take advantage of Oracle’s PL/SQL language. This handy pocket guide starts with simple data retrieval and moves on to more complex topics, including the use of joins, subqueries, regular expression and full text-based searches, stored procedures, cursors, triggers, table constraints, and much more. 10 minutes is all you need to learn how to... Use PL/SQL in the Oracle environments and tools Construct complex PL/SQL statements using multiple clauses and operators Retrieve, sort, and format database contents Pinpoint the data you need using a variety of filtering techniques Use string, date-time, and math functions to manipulate your data Join two or more related tables Insert, update, and delete data Create and alter database tables Work with views, stored procedures, cursors, triggers, and more

Thoroughly updated and expanded! Includes new coverage on HANA, the cloud, and using SAP’s applications! In just 24 sessions of one hour or less, you’ll get up and running with the latest SAP technologies, applications, and solutions. Using a straightforward, step-by-step approach, each lesson strengthens your understanding of SAP from both a business and technical perspective, helping you gain practical mastery from the ground up on topics such as security, governance, validations, release management, SLA, and legal issues. Step-by-step instructions carefully walk you through the most common questions, issues, and tasks. Quizzes and exercises help you build and test your knowledge. Notes present interesting pieces of information. Tips offer advice or teach an easier way to do something. Cautions advise you about potential problems and help you steer clear of disaster. Learn how to… Understand SAP terminology, concepts, and solutions Install SAP on premises or in the cloud Master SAP’s revamped user interface Discover how and when to use in-memory HANA databases Integrate SAP Software as a Service (SaaS) solutions such as Ariba, Successfactors, Fieldglass, and hybris Find resources at SAP’s Service Marketplace, Developer Network, and Help Portal Avoid pitfalls in SAP project implementation, migration, and upgrades Discover how SAP fits with mobile devices, social media, big data, and the Internet of Things Start or accelerate your career working with SAP technologies

Expert SQL Server In-Memory OLTP is a deep dive into one of the most significant features of SQL Server 2014 – support for In-Memory Online Transaction Processing. The book describes the architecture and internals of the In-Memory OLTP Engine and explains how to develop, deploy, and maintain systems using it. With it you can dramatically increase transactional throughput to handle thousands of transactions per second supporting millions of customers. Dmitri Korotkevitch is the five-star author of Pro SQL Server Internals, and now brings his same combination of clear thinking and deep expertise to the question of how to recognize the opportunities and benefit from Microsoft’s In-Memory OLTP feature set in SQL Server 2014. Learn the architecture and the internals in order to recognize when in-memory OLTP can make a difference. Learn useful scenarios for thoughtfully incorporating In-Memory support into existing applications. Recognize opportunities for In-Memory OLTP in new development. Don’t be without Dmitri Korotkevitch and the deep expertise he imparts in Expert SQL Server In-Memory OLTP as you move forward in using SQL Server’s new and important In-Memory OLTP feature set. Covers In-Memory OLTP internals and architecture, including data storage, indexing, multi-version concurrency control, transaction logging, and recovery Illustrates In-Memory OLTP programmability and the process of native compilation Guides in using In-Memory OLTP in new development and existing systems.

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way. Learn how to quickly define scope and architecture before programming starts Includes techniques of process and data engineering that enable iterative and incremental delivery Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges Use the provided 120-day road map to establish a robust, agile data warehousing program

Learn how to use Hibernate, a powerful Java object-relational mapping framework, with the "Java Hibernate Cookbook." This book is designed to help developers quickly grasp the capabilities of Hibernate, taking you from installation to building real-world applications. What this Book will help me do Install and configure Hibernate for Java development. Utilize annotations to streamline Hibernate configuration. Implement collection mappings such as lists, maps, and sets. Understand and create associations between different entities. Integrate Hibernate with other frameworks to develop enterprise solutions. Author(s) None Prajapati and None Ranapariya are experienced Java developers and authors with a passion for sharing knowledge about cutting-edge frameworks and tools. They have significant expertise with Hibernate and have distilled their experience into this comprehensive guide to help developers understand and utilize Hibernate effectively. Who is it for? This book is ideal for Java developers looking to enhance their understanding of Hibernate. It assumes readers are comfortable with Java programming and have a basic knowledge of SQL. Whether you're improving existing skills or aiming to learn Hibernate for a new project, this book provides clear explanations and structured examples to help you succeed.

Learn how to create interactive and stylish web mapping applications with "Mastering ArcGIS Server Development with JavaScript." By focusing on the ArcGIS JavaScript API along with modern development practices, this book provides you with practical examples and insights to build functional, visually appealing GIS applications for the web. What this Book will help me do Integrate and display data from multiple sources into a single-page application using mapping tools. Customize widgets and maps to ensure user engagement and optimal functionality. Use charts and graphs to intuitively represent geographic data insights. Combine the ArcGIS JavaScript API with popular JavaScript libraries for advanced map-making features. Develop web maps suitable for multiple devices and test for platform compatibility. Author(s) None Doman is a seasoned GIS developer with extensive experience in the ArcGIS ecosystem. Specializing in integrating cutting-edge JavaScript techniques with GIS solutions, Doman focuses on empowering developers through comprehensive and insightful learning materials. Their approachable writing style ensures even complex concepts are accessible and engaging. Who is it for? This book is aimed at professional developers looking to enhance their GIS application development skills. Ideal readers have a fundamental understanding of ArcGIS Server and some experience with developing using JavaScript. It is especially beneficial for those eager to apply GIS solutions in web development scenarios. It's perfect for those ready to deepen their expertise in GIS programming and create impactful web mapping applications.

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0

Over the last 20 years, companies have invested roughly $3-4 trillion in enterprise software. These investments have been primarily focused on the development and deployment of single systems, applications, functions, and geographies targeted at the automation and optimization of key business processes. Companies are now investing heavily in big data analytics ($44 billion alone in 2014) in an effort to begin analyzing all of the data being generated from their process automation systems. But companies are quickly realizing that one of their key bottlenecks is Data Variety—the silo’d nature of the data that is a natural result of internal and external source proliferation. The problem of big data variety has crept up from the bottom—and the cost of variety is only appreciated when companies attempt to ask simple questions across many business silos (divisions, geographies, functions, etc.). Current top-down, deterministic data unification approaches (such as ETL, ELT, and MDM) were simply not designed to scale to the variety of hundreds or thousands or even tens of thousands of data silos. Download this free eBook to learn about the fundamental challenges that Data Variety poses to enterprises looking to maximize the value of their existing investments—and how new approaches promise to help organizations embrace and leverage the fundamental diversity of data. Readers will also find best practices for designing bottom-up and probabilistic methods for finding and managing data; principles for doing data science at scale in the big data era; preparing and unifying data in ways that complement existing systems; optimizing data warehousing; and how to use “data ops” to automate large-scale integration.

This IBM® Redbooks® publication documents and addresses topics to provide step-by-step programming concepts to tune the applications to use IBM POWER8® hardware architecture with the technical computing software stack. This publication explores, tests, and documents how to implement an IBM high-performance computing (HPC) solution on POWER8 by using IBM technical innovations to help solve challenging scientific, technical, and business problems. This book demonstrates and documents that the combination of IBM HPC hardware and software solutions delivers significant value to technical computing clients in need of cost-effective, highly scalable, and robust solutions. This book targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for delivering cost-effective HPC solutions that help uncover insights among clients' data so that they can act to optimize business results, product development, and scientific discoveries.

Organizations across many industries have recently created fast-growing repositories to deal with an influx of new data from many sources and often in multiple formats. To manage these data lakes, companies have begun to leave the familiar confines of relational databases and data warehouses for Hadoop and various big data solutions. But adopting new technology alone won’t solve the problem. Based on interviews with several experts in data management, author Andy Oram provides an in-depth look at common issues you’re likely to encounter as you consider how to manage business data. You’ll explore five key topic areas, including: Acquisition and ingestion: how to solve these problems with a degree of automation. Metadata: how to keep track of when data came in and how it was formatted, and how to make it available at later stages of processing. Data preparation and cleaning: what you need to know before you prepare and clean your data, and what needs to be cleaned up and how. Organizing workflows: what you should do to combine your tasks—ingestion, cataloging, and data preparation—into an end-to-end workflow. Access control: how to address security and access controls at all stages of data handling. Andy Oram, an editor at O’Reilly Media since 1992, currently specializes in programming. His work for O'Reilly includes the first books on Linux ever published commercially in the United States.

To discover the shape and structure of the big data market, the San Francisco-based startup Relato took a unique approach to market research and created the first fully data-driven market report. Company CEO Russell Jurney and his team collected and analyzed raw data from a variety of sources to reveal a boatload of business insights about the big data space. This exceptional report is now available for free download. Using data analytic techniques such as social network analysis (SNA), Relato exposed the vast and complex partnership network that exists among tens of thousands of unique big data vendors. The dataset Relato collected is centered around Cloudera, Hortonworks, and MapR, the major platform vendors of Hadoop, the primary force behind this market. From this snowball sample, a 2-hop network, the Relato team was able to answer several questions, including: Who are the major players in the big data market? Which is the leading Hadoop vendor? What sectors are included in this market and how do they relate? Which among the thousands of partnerships are most important? Who’s doing business with whom? Metrics used in this report are also visible in Relato’s interactive web application, via a link in the report, which walks you through the insights step-by-step.

Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.

Dive into the world of large-scale graph data processing with Apache Spark's GraphX API. This book introduces you to the core concepts of graph analytics and teaches you how to leverage Spark for handling and analyzing massive graphs. From building to analyzing, you'll acquire a comprehensive skillset to work with graph data efficiently. What this Book will help me do Learn to utilize Apache Spark GraphX API to process and analyze graph data. Master transforming raw datasets into sophisticated graph structures. Explore visualization and analysis techniques for understanding graphs. Understand and build custom graph operations tailored to your needs. Implement advanced graph algorithms like clustering and iterative processing. Author(s) Rindra Ramamonjison is a seasoned data engineer with vast experience in big data technologies and graph processing. With a passion for explaining complex concepts in simple terms, Rindra builds on his professional expertise to guide readers in mastering cutting-edge Spark tools. Who is it for? This book is tailored for data scientists and software developers looking to delve into graph data processing at scale. Ideal for those with basic knowledge of Scala and Apache Spark, it equips readers with the tools and techniques to derive insights from complex network datasets. Whether you're diving deeper into big data or exploring graph-specific analytics, this book is your guide.

Be more productive with the Oracle PL/SQL language. The fifth edition of this popular pocket reference puts the syntax of specific PL/SQL language elements right at your fingertips, including features added in Oracle Database 12c. Whether you’re a developer or database administrator, when you need answers quickly, the Oracle PL/SQL Language Pocket Reference will save you hours of frustration with concise summaries of: Fundamental language elements, such as block structure, datatypes, and declarations Statements for program control, cursor management, and exception handling Records, procedures, functions, triggers, and packages Execution of PL/SQL functions in SQL Compilation options, object-oriented features, collections, and Java integration This handy pocket reference is a perfect companion to Steven Feuerstein and Bill Pribyl’s bestselling Oracle PL/SQL Programming.

Redis Essentials is your go-to guide for understanding and mastering Redis, the leading in-memory data structure store. In this book, you will explore the powerful features offered by Redis, such as real-time data processing, highly scalable architectures, and practical implementations for web applications. You'll complete the journey equipped to handle and optimize Redis for your development projects. What this Book will help me do Design analytics applications with advanced data structures like Bitmaps and HyperLogLogs. Scale your application infrastructure using Redis Sentinel, Twemproxy, and Redis Cluster. Develop custom Redis commands and extend its functionality with the Lua scripting language. Implement robust security measures for Redis, including SSL encryption and firewall rules. Master the usage of Redis client libraries in PHP, Python, Node.js, and Ruby for seamless development. Author(s) Maxwell Dayvson da Silva is an experienced software engineer and author with expertise in designing high-performance systems. With a strong focus on practical knowledge and hands-on solutions, Maxwell brings over a decade of experience using Redis to this book. His approachable teaching style ensures learners grasp complex topics easily while emphasizing their practical application to real-world challenges. Who is it for? Redis Essentials is aimed at developers looking to enhance their system's performance and scalability using Redis. Whether you're moderately familiar with key-value stores or new to Redis, this book will provide the explanations and hands-on examples you need. Recommended for developers with experience in data architectures, the book bridges the gap between understanding Redis features and their real-world application. Start here to bring high-performance in-memory data solutions to your projects.

Pro Oracle Fusion Applications is your one-stop source for help with installing Oracle's Fusion Applications suite in your on-premise environment. It also aids in the monitoring and ongoing administration of your Fusion environment. Author Tushar Thakker is widely known for his writings and expertise on Oracle Fusion Applications, and now he brings his accumulated wisdom to you in the form of this convenient handbook. Provisioning an Oracle Fusion Applications infrastructure is a daunting task. You'll have to plan a suitable topology and install the required database, an enterprise-wide identity management solution, and the applications themselves—all while working with a wide variety of people who may not always be accustomed to working together. Pro Oracle Fusion Applications provides a path to success that you won't want to be without. Beyond installation, Pro Oracle Fusion Applications provides excellent guidance on managing, monitoring, diagnostics, and troubleshooting your environment. The book also covers patching, a mundane but essential task that must be done regularly to keep your installation protected and running smoothly. The comprehensive and wide-ranging coverage makes Pro Oracle Fusion Applications an important book for anyone with responsibility for installation and ongoing management of an Oracle Fusion Applications installation.

Pro SQL Server Wait Statistics is a practical guide for analyzing and troubleshooting SQL Server performance using wait statistics. Whether you are new to wait statistics, or already familiar with them, this book will help you gain a deeper understanding of how wait statistics are generated and what they can mean for your SQL Server’s performance. Besides the most common wait types, Pro SQL Server Wait Statistics goes further into the more complex and performance threatening wait types. The different wait types are categorized by their area of impact, and include CPU, IO, Lock, and many more different wait type categories. Filled with clear examples, Pro SQL Server Wait Statistics helps you gain practical knowledge of why and how specific wait times increase or decrease, and how they impact your SQL Server’s performance.