Mastering Hibernate is your comprehensive guide to understanding and mastering Hibernate, a powerful Object-Relational Mapping tool for Java and .Net applications. Through this book, you will dive deep into the mechanics of Hibernate, exploring its core concepts and architecture. Whether you're working with SQL or NoSQL data stores, this book ensures you can unlock Hibernate's full potential. What this Book will help me do Grasp the internal workings of Hibernate, including its session management and entity lifecycle. Optimize mapping between Java classes and relational database structures for better performance. Effectively manage relationships and collections within your data models using Hibernate features. Utilize Hibernate's caching systems to improve application performance and scalability. Handle multi-tenant database configurations with confidence using Hibernate's architectural capabilities. Author(s) None Rad is an experienced software developer and educator specializing in Java-based applications and enterprise architecture. With years of hands-on practice using Hibernate in real-world scenarios, None Rad has curated this book to serve as a clear and practical guide. Their writing reflects deep technical expertise combined with an approachable and illustrative teaching style, ensuring learning is both effective and engaging. Who is it for? This book is ideal for software developers and engineers who are familiar with Java or other similar object-oriented programming languages. Whether you're a professional looking to deepen your understanding of Hibernate's internals or a developer aiming to create more efficient ORM solutions, this book has something for you. Readers should have a basic understanding of Java and relational databases, but no prior Hibernate expertise is required. By the end, you'll be equipped to confidently apply Hibernate to sophisticated data challenges.

Structured Query Language (SQL) procedures, triggers, and functions, which are also known as user-defined functions (UDFs), are the key database features for developing robust and distributed applications. IBM® DB2® for i supported these features for many years, and they are enhanced in IBM i versions 6.1, 7.1, and 7.2. DB2 for i refers to the IBM DB2 family member and relational database management system that is integrated within the IBM Power operating system that is known as IBM i. This IBM Redbooks® publication includes several of the announced features for SQL procedures, triggers, and functions in IBM i versions 6.1, 7.1, and 7.2. This book includes suggestions, guidelines, and practical examples to develop DB2 for i SQL procedures, triggers, and functions effectively. This book covers the following topics: Introduction to the SQL/Persistent Stored Modules (PSM) language, which is used in SQL procedures, triggers, and functions SQL procedures SQL triggers SQL functions This book is for IBM i database engineers and data-centric developers who strive to provide flexible, extensible, agile, and scalable database solutions that meet business requirements in a timely manner. Before you read this book, you need to know about relational database technology and the application development environment on the IBM Power Systems™ with the IBM i operating system.

Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance. Database systems underlie the large majority of business information systems. Most of those in use today are based on the relational data model, a way of representing data and data relationships using only two-dimensional tables. This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language. The book begins by reviewing basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL. Topics such as the relational data model, normalization, data entities, and Codd's Rules (and why they are important) are covered clearly and concisely. In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose. Features updated and expanded coverage of SQL and new material on big data, cloud computing, and object-relational databases Presents design approaches that ensure data accuracy and consistency and help boost performance Includes three case studies, each illustrating a different database design challenge Reviews the basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL

This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications. The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board. Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental architectures. Today we are faced with choices between radically different database technologies. Choosing the right database today is a complex undertaking, with serious economic and technological consequences. Next Generation Databases demystifies today’s new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects. Introduces the new technologies that have revolutionized the database landscape Describes how each technology can be used to solve specific application or business challenges Reviews the most popular new wave databases and how they use these new database technologies

Transforming data from operational data models to purpose-oriented data structures has been commonplace for the last decades. Data transformations are heavily used in all types of industries to provide information to various users at different levels. Depending on individual needs, the transformed data is stored in various different systems. Sending operational data to other systems for further processing is then required, and introduces much complexity to an existing information technology (IT) infrastructure. Although maintenance of additional hardware and software is one component, potential inconsistencies and individually managed refresh cycles are others. For decades, there was no simple and efficient way to perform data transformations on the source system of operational data. With IBM® DB2® Analytics Accelerator, DB2 for z/OS is now in a unique position to complete these transformations in an efficient and well-performing way. DB2 for z/OS completes these while connecting to the same platform as for operational transactions, helping you to minimize your efforts to manage existing IT infrastructure. Real-time analytics on incoming operational transactions is another demand. Creating a comprehensive scoring model to detect specific patterns inside your data can easily require multiple iterations and multiple hours to complete. By enabling a first set of analytical functionality in DB2 Analytics Accelerator, those dedicated mining algorithms can now be run on an accelerator to efficiently perform these modeling tasks. Given the speed of query processing on an accelerator, these modeling tasks can now be performed much quicker compared to traditional relational database management systems. This speed enables you to keep your scoring algorithms more up-to-date, and ultimately adapt more quickly to constantly changing customer behaviors. This IBM Redbooks® publication describes the new table type that is introduced with DB2 Analytics Accelerator V4.1 PTF5 that enables more efficient data transformations. These tables are called accelerator-only tables, and can exist on an accelerator only. The tables benefit from the accelerator performance characteristics, while maintaining access through existing DB2 for z/OS application programming interfaces (APIs). Additionally, we describe the newly introduced analytical capabilities with DB2 Analytics Accelerator V5.1, putting you in the position to efficiently perform data modeling for online analytical requirements in your DB2 for z/OS environment. This book is intended for technical decision-makers who want to get a broad understanding about the analytical capabilities and accelerator-only tables of DB2 Analytics Accelerator. In addition, you learn about how these capabilities can be used to accelerate in-database transformations and in-database analytics in various environments and scenarios, including the following scenarios: Multi-step processing and reporting in IBM DB2 Query Management Facility™, IBM Campaign, or Microstrategy environments In-database transformations using IBM InfoSphere® DataStage® Ad hoc data analysis for data scientists In-database analytics using IBM SPSS® Modeler

Unlock the potential of PostgreSQL, a powerful open-source relational database system, with 'Learning PostgreSQL.' This book takes you through essential concepts of relational databases, SQL syntax, and the advanced features of PostgreSQL, equipping you to build and manage efficient database solutions. What this Book will help me do Learn the foundational concepts behind relational databases and relational algebra. Set up and configure a PostgreSQL server and client for development use. Develop SQL queries for robust data manipulation and retrieval. Implement advanced features of PostgreSQL, including procedural programming with PL/pgSQL. Integrate PostgreSQL with Java applications using JDBC and Hibernate frameworks. Author(s) The authors of 'Learning PostgreSQL,' None Juba, Achim Vannahme, and None Volkov, bring extensive experience and expertise in software development and database management. They have a deep understanding of PostgreSQL as well as its integration with applications. Their collective approach emphasizes practical techniques, real-world scenarios, and enriched learning, making this book a valuable resource for learners of all levels. Who is it for? This book is perfect for students, database developers, and administrators seeking to learn PostgreSQL. It suits beginners with no prior knowledge and helps intermediates deepen their expertise. Readers will learn how to develop, maintain, and optimize PostgreSQL databases, making it ideal for those aiming to advance their database development skills.

Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata. SQL is a powerful language for querying and manipulating data, but it’s tough to integrate it with your application. SQLAlchemy helps you map Python objects to database tables without substantially changing your existing Python code. If you’re an intermediate Python developer with knowledge of basic SQL syntax and relational theory, this book serves as both a learning tool and a handy reference. Essential SQLAlchemy includes several sections: SQLAlchemy Core: Provide database services to your applications in a Pythonic way with the SQL Expression Language SQLAlchemy ORM: Use the object relational mapper to bind database schema and operations to data objects in your application Alembic: Use this lightweight database migration tool to handle changes to the database as your application evolves Cookbook: Learn how to use SQLAlchemy with web frameworks like Flask and libraries like SQLAcodegen

Cassandra Design Patterns is your guide to harnessing the full potential of Apache Cassandra's distributed database capabilities through advanced design practices. Whether you're migrating from an RDBMS or implementing scalable storage for big data, this book provides clear strategies, practical examples, and real-world use cases demonstrating effective design patterns. What this Book will help me do Learn to integrate Cassandra with existing RDBMS solutions, enabling hybrid data architecture. Understand and implement key design patterns for distributed, scalable databases. Master the transition from RDBMS or cache systems to Cassandra with minimal disruption. Dive into time-series and temporal data patterns unique to Cassandra's strengths. Apply learned design patterns directly to real-world big data scenarios for analytics. Author(s) Rajanarayanan Thottuvaikkatumana, the author of Cassandra Design Patterns, is an expert in distributed systems and holds extensive experience in designing and implementing big data solutions. His hands-on approach to Cassandra is evident throughout the book as he bridges theoretical knowledge with practical applications. Rajanarayanan's approachable writing style aims to make complex concepts accessible. Who is it for? This book is ideal for big data developers and system architects who are familiar with the basics of Cassandra and are looking to deepen their understanding of design patterns for robust applications. Readers should have experience with relational databases and desire to migrate or integrate these concepts with NoSQL systems. Whether you're building solutions for data scalability, high availability, or analytics, Cassandra Design Patterns positions itself as an essential resource.

Get Started Fast with Apache Hadoop ® 2, YARN, and Today’s Hadoop Ecosystem With Hadoop 2.x and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing. Hadoop 2.x and the Data Lake concept represent a radical shift away from conventional approaches to data usage and storage. Hadoop 2.x installations offer unmatched scalability and breakthrough extensibility that supports new and existing Big Data analytics processing methods and models. Hadoop ® 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2.x, YARN, and the modern Hadoop ecosystem. Building on his unsurpassed experience teaching Hadoop and Big Data, author Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on personal computers or servers, and to navigate the powerful technologies that complement it. Eadline concisely introduces and explains every key Hadoop 2 concept, tool, and service, illustrating each with a simple “beginning-to-end” example and identifying trustworthy, up-to-date resources for learning more. This guide is ideal if you want to learn about Hadoop 2 without getting mired in technical details. Douglas Eadline will bring you up to speed quickly, whether you’re a user, admin, devops specialist, programmer, architect, analyst, or data scientist. Coverage Includes Understanding what Hadoop 2 and YARN do, and how they improve on Hadoop 1 with MapReduce Understanding Hadoop-based Data Lakes versus RDBMS Data Warehouses Installing Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clusters Exploring the Hadoop Distributed File System (HDFS) Understanding the essentials of MapReduce and YARN application programming Simplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase Observing application progress, controlling jobs, and managing workflows Managing Hadoop efficiently with Apache Ambari–including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration Learning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark

Introducing SQL Server is a fast and easy introduction to SQL Server and the world of relational databases. You’ll learn how databases work and how to use the T-SQL language by practicing on one of the most widely-used and powerful database engines in the corporate world: Microsoft SQL Server. Do you quake at the sight of a SELECT statement? Start to shiver when people start talking about tables and rows? Fear not, Introducing SQL Server is here to rescue you. The book focuses on the knowledge and skills needed to begin your journey toward becoming a solid and competent SQL Server professional and database programmer. You’ll learn the core concepts of SQL Server, from installing the software to executing and profiling queries. Introducing SQL Server is aimed at SQL Server newcomers as well as at those wanting to improve their database skills. You’ll put a comprehensive database together as you work through the book. You will create tables and learn to use constraints; create reusable functions and stored procedures; and even learn how indexes work and what they bring in terms of increased performance. Introducing SQL Server shows you that databases don’t need to be difficult. Teaches you how to build a SQL Server database from scratch Takes a tutorial-based approach, with each chapter building on the last Covers what you need to know for common SQL Server development tasks

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.

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.

Expert Oracle Exadata, 2nd Edition opens up the internals of Oracle's Exadata platform so that you can fully benefit from the most performant and scalable database hardware appliance capable of running Oracle Database. This edition is fully-updated to cover Exadata 5-2 and Oracle Database 12c. If you're new to Exadata, you'll soon learn that it embodies a change in how you think about and manage relational databases. A key part of that change lies in the concept of offloading SQL processing to the storage layer. In addition there is Oracle's engineering effort in creating a powerful platform for both consolidation and transaction processing. The resulting value proposition in the form of Exadata has truly been a game-changer. Expert Oracle Exadata, 2nd Edition provides a look at the internals and how the combination of hardware and software that comprise Exadata actually work. Authors include Martin Bach, Andy Colvin, and Frits Hoogland, with contributions from Karl Arao, and built on the foundation laid by Kerry Osborne, Randy Johnson, and Tanel Poder in the first edition. They share their real-world experience gained through a great many Exadata implementations, possibly more than any other group of experts today. Always their goal is toward helping you advance your career through success with Exadata in your own environment. This book is intended for readers who want to understand what makes the platform tick and for whom—"how" it does what it is does is as important as what it does. By being exposed to the features that are unique to Exadata, you will gain an understanding of the mechanics that will allow you to fully benefit from the advantages that the platform provides. This book changes how you think about managing SQL performance and processing. It provides a roadmap to successful Exadata implementation. And it removes the "black box" mystique. You'll learn how Exadata actually works and be better able to manage your Exadata engineered systems in support of your business. This book: Changes the way you think about managing SQL performance and processing Provides a roadmap to successful Exadata implementation Removes the "black box" mystique, showing how Exadata actually works

Beginning Oracle Database 12c Administration is your entry point into a successful and satisfying career as an Oracle Database Administrator. The chapters of this book are logically organized into four parts closely tracking the way your database administration career will naturally evolve. Part 1 "Database Concepts" gives necessary background in relational database theory and Oracle Database concepts, Part 2 "Database Implementation" teaches how to implement an Oracle database correctly, Part 3 "Database Support" exposes you to the daily routine of a database administrator, and Part 4 "Database Tuning" introduces the fine art of performance tuning. Beginning Oracle Database 12c Administration provides information that you won't find in other books on Oracle Database. You'll discover not only technical information, but also guidance on work practices that are as vital to your success as are your technical skills. The author's favorite chapter is "The Big Picture and the Ten Deliverables." (It is the editor’s favorite chapter too!) If you take the lessons in that chapter to heart, you can quickly become a much better Oracle database administrator than you ever thought possible. You will grasp the key aspects of theory behind relational database management systems and learn how to: Install and configure an Oracle database, and ensure that it’s properly licensed; Execute common management tasks in a Linux environment; Defend against data loss by implementing sound backup and recovery practices; and Improve database and query performance.

This IBM® Redbooks® publication describes IBM TXSeries® for Multiplatforms, which is the premier IBM distributed transaction processing software for business-critical applications. Before describing distributed transaction processing in general, we introduce the most recent version of TXSeries for Multiplatforms. We focus on the following areas: The technical value of TXSeries for Multiplatforms New features in TXSeries for Multiplatforms Core components of TXSeries Common TXSeries deployment scenarios Deployment, development, and administrative choices Technical considerations It also demonstrates enterprise integration with products, such as relational database management system (RDBMS), IBM WebSphere® MQ, and IBM WebSphere Application Server. In addition, it describes system customization, reviewing several features, such as capacity planning, backup and recovery, and high availability (HA). We describe troubleshooting in TXSeries. We also provide details about migration from version to version for TXSeries. A migration checklist is included. We demonstrate a sample application that we created, called BigBlueBank, its installation, and the server-side and client-side programs. Other topics in this book include application development and system administration considerations. This book describes distributed IBM Customer Information Control System (IBM CICS®) solutions, and how best to develop distributed CICS applications.

Master PostgreSQL 9.4 with this hands-on cookbook featuring over 150 practical and easy-to-follow recipes that will bring you up to speed with PostgreSQL's latest features. You'll learn how to create, manage, and optimize a PostgreSQL-based database, focusing on vital aspects like performance and reliability. What this Book will help me do Efficiently configure PostgreSQL databases for optimal performance. Deploy robust backup and recovery strategies to ensure data reliability. Utilize PostgreSQL's replication features for improved high availability. Implement advanced queries and analyze large datasets effectively. Optimize database structure and functionality for application needs. Author(s) Simon Riggs, Gianni Ciolli, and their co-authors are seasoned database professionals with extensive experience in PostgreSQL administration and development. They have a complementary blend of skills, comprising practical system knowledge, teaching, and authoritative writing. Their hands-on experience translates seamlessly into accessible yet informative content. Who is it for? This book is ideal for database administrators and developers who are looking to enhance their skills with PostgreSQL, especially version 9. If you have some prior experience with relational databases and want practical guidance on optimizing, managing, and mastering PostgreSQL, this resource is tailored for you.

NoSQL was developed to overcome the limitations of relational databases in the largest Web applications at companies such as Google, Yahoo and Facebook. As it is applied more widely, developers are finding that it can simplify scalability while requiring far less coding and management overhead. However, NoSQL requires fundamentally different approaches to database design and modeling, and many conventional relational techniques lead to suboptimal results. NoSQL for Mere Mortals is an easy, practical guide to succeeding with NoSQL in your environment. Following the classic, best-selling format pioneered in SQL Queries for Mere Mortals, enterprise database expert Dan Sullivan guides you step-by-step through choosing technologies, designing high-performance databases, and planning for long-term maintenance. Sullivan introduces each type of NoSQL database, shows how to install and manage them, and demonstrates how to leverage their features while avoiding common mistakes that lead to poor performance and unmet requirements. He uses four popular NoSQL databases as reference models: MongoDB, a document database; Cassandra, a column family data store; Redis, a key-value database; and Neo4j, a graph database. You'll find explanations of each database's structure and capabilities, practical guidelines for choosing amongst them, and expert guidance on designing databases with them. Packed with examples, NoSQL for Mere Mortals is today's best way to master NoSQL—whether you're a DBA, developer, user, or student.

Get a Jump Start on working with MySQL today! MySQL is an extremely popular open source relational database management system that that powers many of the applications on the Web. Discover why MySQL's speed, ease of use, and flexibility make it the database of choice for so many developers. In just one weekend with this hands-on tutorial, you'll learn how to: Get started with MySQL Store, modify, and retrieve data Work with multiple tables Connect to your database through code Program the database Back up your data

Couchbase Essentials is your gateway to mastering Couchbase, a powerful NoSQL database designed for building flexible and scalable applications. Through this book, you will understand Couchbase's key features, explore its indexing and querying capabilities, and learn to design schemas for its schemaless document model. What this Book will help me do Understand how to install and configure a single-node Couchbase environment. Master putting data into and retrieving data from Couchbase using its API. Develop skills in creating secondary and advanced indexes using Couchbase MapReduce views. Learn to design an efficient schema for Couchbase's schemaless document database. Create and query a functional application utilizing Couchbase and its N1QL query language. Author(s) John C Zablocki is an experienced software developer and technology enthusiast with a deep understanding of NoSQL databases like Couchbase. With years of practical experience, John has been instrumental in implementing Couchbase in scalable applications, and he shares actionable insights in this well-rounded book. Who is it for? This book is tailored for application developers aiming to enhance their applications with NoSQL capabilities. It is highly suitable for developers with backgrounds in relational databases, as well as those new to NoSQL systems. If you are interested in building modern, scalable applications, this comprehensive guide to Couchbase is for you.

Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in! Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.