Cutting-edge techniques from leading Oracle security experts This Oracle Press guide demonstrates practical applications of the most compelling methods for developing secure Oracle database and middleware environments. You will find full coverage of the latest and most popular Oracle products, including Oracle Database and Audit Vaults, Oracle Application Express, and secure Business Intelligence applications. Applied Oracle Security demonstrates how to build and assemble the various Oracle technologies required to create the sophisticated applications demanded in today´s IT world. Most technical references only discuss a single product or product suite. As such, there is no roadmap to explain how to get one product, product-family, or suite to work with another. This book fills that void with respect to Oracle Middleware and Database products and the area of security.
This book is a comprehensive and easy-to-understand guide for using the Oracle Data Provider (ODP) version 11 g on the .NET Framework. It also outlines the core GoF (Gang of Four) design patterns and coding techniques employed to build and deploy high-impact mission-critical applications using advanced Oracle database features through the ODP.NET provider. The book details the features of the ODP.NET provider in two main sections: ´´Basic,´´ covering the basics and mechanisms for data access via ODP.NET; and ´´Advanced,´ covering advanced Oracle features such as globalization, savepoints, distributed transactions and how to call them via ODP.NET, advanced queueing (AQ), and promotable transactions. It takes you from the ground up through different implementation scenarios via a rich collection of C sharp code samples. It outlines database security and performance optimization tricks and techniques on ODP.NET that conform to best practices and adaptable design. Different GoF design patterns are highlighted for different types of ODP.NET usage scenarios with consideration of performance and security. It provides a comprehensive guide to the synergistic integration of Oracle and Microsoft technologies such as the Oracle Developer Tools for Visual Studio (184.108.40.206.10). It also details how programmers can make use of ODT to streamline the creation of robust ODP.NET applications from within the Visual Studio environment.
´´A Fully Integrated Study System for OCP Exam 1Z0-060 Prepare for the Oracle Certified Professional Upgrade to Oracle Database 12c exam with this exclusive Oracle Press guide. Each chapter features step-by-step examples, a certification summary, a two-minute drill, and a self-test to reinforce the topics presented. This authoritative resource helps you pass the exam and also serves as an essential, on-the-job reference. Get complete coverage of the new features of Oracle Database 12c, including: Oracle Enterprise Manager Database Express and additional tools for database monitoring Multitenant container databases and pluggable databases Auditing, administrative privileges, data redaction, and other Oracle security features Adaptive execution plans, adaptive statistics, and automatic SQL plan management Oracle Recovery Manager backup and recovery improvements Oracle Database Resource Manager and other performance enhancements Oracle Data Pump, SQL
Completely revised and updated, a comprehensive guide covers the latest features and tools of Oracle Real Application Clusters 12c and teaches readers how to build, configure and maintain a dynamic enterprise computing infrastructure. Original.
Now in its third edition, this best-selling book continues to bring you some of the best thinking on how to apply Oracle Database to produce scalable applications that perform well and deliver correct results. Tom Kyte and Darl Kuhn share a simple philosophy: ´´you can treat Oracle as a black box and just stick data into it, or you can understand how it works and exploit it as a powerful computing environment.´´ If you choose the latter, then you´ll find that there are few information management problems that you cannot solve quickly and elegantly. This fully revised third edition covers the developments up to Oracle Database 12 c . Significant new content is included surrounding Oracle´s new cloud feature set, and especially the use of pluggable databases. Each feature is taught in a proof-by-example manner, not only discussing what it is, but also how it works, how to implement software using it, and the common pitfalls associated with it. Don´t treat Oracle Database as a black-box. Get this book. Get under the hood. Turbo-charge your career. Revised to cover Oracle Database 12 c Proof-by-example approach: Let the evidence be your guide Dives deeply into Oracle Database´s most powerful features
Provides thirty short lessons that teach readers to successfully use T-SQL in database development and management, covering such topics as data retrieval, filtering data, joining related tables, creating combined queries, and managing security.
Even if you have little or no knowledge of T-SQL, Beginning T-SQL 2008 will bring you up to intermediate level and teach you best practices along the way. You´ll learn how to write code that will help you to achieve the best-performing applications possible. You´ll find an introduction to databases, normalization, and SQL Server Management Studio. You´ll understand how data is stored in a database and learn how to use at least one of the available tools to get to that data. Each subsequent chapter teaches an aspect of T-SQL, building on the skills learned in previous chapters. Exercises are included in each chapter because the only way to learn T-SQL is to write some code. This book will do more than just give the syntax and examples. It will teach you techniques to help you avoid common errors and create robust and well-performing code. Imparts best practices for writing T-SQL Helps readers avoid common errors Shows how to write scalable code that yields good performance
This book constitutes the refereed proceedings of the 15th International Semantic Web Conference, ESWC 2018, held in Heraklion, Crete, Greece. The 48 revised full papers presented were carefully reviewed and selected from 179 submissions. The papers cover a large range of topics such as logical modelling and reasoning, natural language processing, databases and data storage and access, machine learning, distributed systems, information retrieval and data mining, social networks, and Web science and Web engineering.
Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala?the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future expansion in data size and evolution of software capabilities.
Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it´s essential to get the data model right. But how do you determine right? That´s where the Data Model Scorecard® comes in. The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization´s data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client´s data models - I will show you how to apply the Scorecard in this book. This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: Chapter 4: Correctness Chapter 5: Completeness Chapter 6: Scheme Chapter 7: Structure Chapter 8: Abstraction Chapter 9: Standards Chapter 10: Readability Chapter 11: Definitions Chapter 12: Consistency Chapter 13: Data In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16).