"Learning Cypher" provides an in-depth look into Cypher, the functional query language for Neo4j, the powerful graph database. Whether you're transitioning from relational databases or exploring graph technology for the first time, this book offers practical guidance to help you write efficient, clear, and reusable queries. What this Book will help me do Master the Cypher declarative query syntax for graph databases. Write optimized Cypher queries for better application performance. Transform relational database data to graph database structures with ease. Understand the nuances of transitioning from SQL to graph paradigms. Learn the common pitfalls in Neo4j programming and how to avoid them. Author(s) Onofrio Panzarino is an experienced database developer specializing in graph technologies and Neo4j. He is passionate about teaching industry best practices to developers and has extensive experience in designing graph-based solutions. Through his approachable style, he empowers readers to excel in using graph databases effectively. Who is it for? This book is for database developers, data analysts, and software engineers who want to expand their knowledge into graph databases. If you work with large-scale connected data or are transitioning from SQL to a graph model, this book is ideal for you. Prior experience with any database query language will be helpful. The book is also suitable for students and professionals looking to integrate graph technology into their projects.

Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. With the introduction of robust new features like PowerPivot and Power View, it is essential for business analysts to get up to speed with big data tools that in the past have been reserved for IT professionals. Written by a team of Business Intelligence experts, Microsoft Business Intelligence Tools for Excel Analysts introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process. Walks you step-by-step through important BI tools like PowerPivot, SQL Server, and SharePoint and shows you how to move data back and forth between these tools and Excel Shows you how to leverage relational databases, slice data into various views to gain different visibility perspectives, create eye-catching visualizations and dashboards, automate SQL Server data retrieval and integration, and publish dashboards and reports to the web Details how you can use SQL Server's built-in functions to analyze large amounts of data, Excel pivot tables to access and report OLAP data, and PowerPivot to create powerful reporting mechanisms You'll get on top of the Microsoft BI stack and all it can do to enhance Excel data analysis with this one-of-a-kind guide written for Excel analysts just like you.

The 'SQL Server Analysis Services 2012 Cube Development Cookbook' equips you with the practical skills needed to design and implement OLAP cubes using both multidimensional and tabular models. By working through hands-on recipes, you'll quickly gain the expertise to create robust Business Intelligence solutions with SQL Server Analysis Services. What this Book will help me do Build and enhance multidimensional and tabular models for effective data analysis. Implement key OLAP features like dimensions, cubes, actions, and aggregations. Scale and optimize your Business Intelligence solutions for enterprise-level performance. Utilize MDX and DAX languages proficiently to query and manipulate data. Develop skills in securing, monitoring, and troubleshooting SQL Server Analysis Services. Author(s) None Dewald is an experienced business intelligence professional with years of hands-on expertise with SQL Server Analysis Services. His approach to teaching focuses on practical application and equipping his audience with tools to be successful in deploying and maintaining BI solutions. Who is it for? This book is perfect for BI and ETL developers who work with SQL Server Analysis Services to build OLAP cubes. It assumes familiarity with relational database management systems, Excel, and SQL. If you're looking to deepen your understanding of Microsoft's BI stack and improve your practical skills in SSAS, this book is for you.

Demystifying the power of the Oracle 12c database The Oracle database is the industry-leading relational database management system (RDMS) used from small companies to the world's largest enterprises alike for their most critical business and analytical processing. Oracle 12c includes industry leading enhancements to enable cloud computing and empowers users to manage both Big Data and traditional data structures faster and cheaper than ever before. Oracle 12c For Dummies is the perfect guide for a novice database administrator or an Oracle DBA who is new to Oracle 12c. The book covers what you need to know about Oracle 12c architecture, software tools, and how to successfully manage Oracle databases in the real world. Highlights the important features of Oracle 12c Explains how to create, populate, protect, tune, and troubleshoot a new Oracle database Covers advanced Oracle 12c technologies including Oracle Multitenant—the “pluggable database” concept—as well as several other key changes in this release Make the most of Oracle 12c's improved efficiency, stronger security, and simplified management capabilities with Oracle 12c For Dummies.

Transform Big Data into Insight "In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide. Understand the value of a comprehensive big data strategy Maximize the distributed processing power of the Apache Hadoop platform Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL Database Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance Integrate your existing data warehousing and analytics infrastructure into a big data architecture Share data among Hadoop and relational databases using Oracle Big Data Connectors Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture Deliver faster time to value using in-database analytics Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop Analyze disparate data with Oracle Endeca Information Discovery Plan and implement a big data governance strategy and develop an architecture and roadmap

Making Sense of NoSQL clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies. Using examples and use cases, illustrations, and plain, jargon-free writing, this guide shows how you can effectively assemble a NoSQL solution to replace or augment the traditional RDBMS you have now. About the Technology About the Book If you want to understand and perhaps start using the new data storage and analysis technologies that go beyond the SQL database model, this book is for you. Written in plain language suitable for technical managers and developers, and using many examples, use cases, and illustrations, this book explains the concepts, features, benefits, potential, and limitations of NoSQL. Making Sense of NoSQL starts by comparing familiar database concepts to the new NoSQL patterns that augment or replace them. Then, you'll explore case studies on big data, search, reliability, and business agility that apply these new patterns to today's business problems. You'll see how NoSQL systems can leverage the resources of modern cloud computing and multiple-CPU data centers. The final chapters show you how to choose the right NoSQL technologies for your own needs. What's Inside NoSQL data architecture patterns NoSQL for big data Search, high availability, and security Choosing an architecture About the Reader Managers and developers will welcome this lucid overview of the potential and capabilities of NoSQL technologies. About the Authors Dan McCreary and Ann Kelly lead an independent training and consultancy firm focused on NoSQL solutions and are cofounders of the NoSQL Now! Conference. Quotes Easily digestible, practical advice for technical managers, architects, and developers. - From the Foreword by Tony Shaw, CEO of DATAVERSITY Cuts through the jargon and gives you the information you need to know. - Craig Smith, Unbound DNA A concise yet thorough description of the many facets of NoSQL, from big data to search. - John Guthrie, Pivotal Brings common sense to the world of NoSQL. - Ignacio Lopez Vellon, Atos Worldgrid Get ahead of your peers ... fast-track to NoSQL now! - Ian Stirk, Stirk Consultancy, Ltd

Uncover the secrets of SQL and start building better relational databases today! This fun and friendly guide will help you demystify database management systems so you can create more powerful databases and access information with ease. Updated for the latest SQL functionality, SQL For Dummies, 8th Edition covers the core SQL language and shows you how to use SQL to structure a DBMS, implement a database design, secure your data, and retrieve information when you need it. Includes new enhancements of SQL:2011, including temporal data functionality which allows you to set valid times for transactions to occur and helps prevent database corruption Covers creating, accessing, manipulating, maintaining, and storing information in relational database management systems like Access, Oracle, SQL Server, and MySQL Provides tips for keeping your data safe from theft, accidental or malicious corruption, or loss due to equipment failures and advice on eliminating errors in your work Don't be daunted by database development anymore - get SQL For Dummies, 8th Edition, and you'll be on your way to SQL stardom.

Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational databases and Hadoop. Sqoop is both powerful and bewildering, but with this cookbook’s problem-solution-discussion format, you’ll quickly learn how to deploy and then apply Sqoop in your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub that you can easily adapt for SQL Server, Netezza, Teradata, or other relational systems. Transfer data from a single database table into your Hadoop ecosystem Keep table data and Hadoop in sync by importing data incrementally Import data from more than one database table Customize transferred data by calling various database functions Export generated, processed, or backed-up data from Hadoop to your database Run Sqoop within Oozie, Hadoop’s specialized workflow scheduler Load data into Hadoop’s data warehouse (Hive) or database (HBase) Handle installation, connection, and syntax issues common to specific database vendors

MySQL, Fifth Edition by Paul DuBois The definitive guide to using, programming and administering MySQL 5.5 and MySQL 5.6 MySQL provides a comprehensive guide to effectively using and administering the MySQL database management system (DBMS). Author Paul DuBois describes everything from the basics of getting information into a database and formulating queries, to using MySQL with PHP or Perl to generate dynamic web pages, to writing your own programs that access MySQL databases, to administering MySQL servers. The book also includes a comprehensive reference section providing detailed information on MySQL’s structure, language, syntax, and APIs. The fifth edition of this bestselling book has been meticulously revised and updated to thoroughly cover the latest features and capabilities of MySQL 5.5, as well as to add new coverage of features introduced with MySQL 5.6. MySQL is an open source relational database management system (DBMS) that has experienced a phenomenal growth in popularity and use. Known for its speed and ease of use, MySQL has proven itself to be particularly well-suited for developing database-backed websites and applications. MySQL runs on anything from modest hardware all the way up to enterprise servers, and its performance rivals any database system put up against it. Paul DuBois’ MySQL, Fifth Edition, is the definitive guide to fully exploiting all the power and versatility of MySQL 5.5 and MySQL 5.6 Contents at a Glance Part I: General MySQL Use Chapter 1 Getting Started with MySQL Chapter 2 Using SQL to Manage Data Chapter 3 Data Types Chapter 4 Views and Stored Programs Chapter 5 Query Optimization Part II: Using MySQL Programming Interfaces Chapter 6 Introduction to MySQL Programming Chapter 7 Writing MySQL Programs Using C Chapter 8 Writing MySQL Programs Using Perl DBI Chapter 9 Writing MySQL Programs Using PHP Part III: MySQL Administration Chapter 10 Introduction to MySQL Administration Chapter 11 The MySQL Data Directory Chapter 12 General MySQL Administration Chapter 13 Security and Access Control Chapter 14 Database Maintenance, Backups, and Replication Part IV: Appendixes Appendix A Software Required to Use This Book Appendix B Data Type Reference Appendix C Operator and Function Reference Appendix D System, Status, and User Variable Reference Appendix E SQL Syntax Reference Appendix F MySQL Program Reference Online Appendixes: Appendix G C API Reference Appendix H Perl DBI API Reference Appendix I PHP API Reference .

Hadoop Beginner's Guide introduces you to the essential concepts and practical applications of Apache Hadoop, one of the leading frameworks for big data processing. You will learn how to set up and use Hadoop to store, manage, and analyze vast amounts of data efficiently. With clear examples and step-by-step instructions, this book is the perfect starting point for beginners. What this Book will help me do Understand the trends leading to the adoption of Hadoop and determine when to use it effectively in your projects. Build and configure Hadoop clusters tailored to your specific needs, enabling efficient data processing. Develop and execute applications on Hadoop using Java and Ruby, with practical examples provided. Leverage Amazon AWS and Elastic MapReduce to deploy Hadoop on the cloud and manage hosted environments. Integrate Hadoop with relational databases using tools like Hive and Sqoop for effective data transfer and querying. Author(s) The author of Hadoop Beginner's Guide is an experienced data engineer with a focus on big data technologies. They have extensive experience deploying Hadoop in various industries and are passionate about making complex systems accessible to newcomers. Their approach combines technical depth with an understanding of the needs of learners, ensuring clarity and relevance throughout the book. Who is it for? This book is designed for professionals who are new to big data processing and want to learn Apache Hadoop from scratch. It is ideal for system administrators, data analysts, and developers with basic programming knowledge in Java or Ruby looking to get started with Hadoop. If you have an interest in leveraging Hadoop for scalable data management and analytics, this book is for you. By the end, you'll gain the confidence and skills to utilize Hadoop effectively in your projects.

Cloud services are just as susceptible to network outages as any other platform. This concise book shows you how to prepare for potentially devastating interruptions by building your own resilient and reliable applications in the public cloud. Guided by engineers from 9apps—an independent provider of Amazon Web Services and Eucalyptus cloud solutions—you’ll learn how to combine AWS with open source tools such as PostgreSQL, MongoDB, and Redis. This isn’t a book on theory. With detailed examples, sample scripts, and solid advice, software engineers with operations experience will learn specific techniques that 9apps routinely uses in its cloud infrastructures. Build cloud applications with the "rip, mix, and burn" approach Get a crash course on Amazon Web Services Learn the top ten tips for surviving outages in the cloud Use elasticsearch to build a dependable NoSQL data store Combine AWS and PostgreSQL to build an RDBMS that scales well Create a highly available document database with MongoDB Replica Set and SimpleDB Augment Redis with AWS to provide backup/restore, failover, and monitoring capabilities Work with CloudFront and Route 53 to safeguard global content delivery

The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational “NoSQL” databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program. NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further. The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j. In addition, by drawing on Pramod Sadalage’s pioneering work, NoSQL Distilled shows how to implement evolutionary design with schema migration: an essential technique for applying NoSQL databases. The book concludes by describing how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.

Pro SQL Server 2012 Reporting Services opens the door to delivering customizable, web-enabled reports across your business at reasonable cost. Reporting Services is Microsoft's enterprise-level reporting platform. It is included with many editions of SQL Server, and is something you'll want to take advantage of if you're running SQL Server as your database engine. Reporting Services provides a full set of tools with which to create and deploy reports. Create interactive reports for business users. Define reporting models from which business users can generate their own ad hoc reports. Pull data from relational databases, from XML, and from other sources. Present that data to users in tabular and graphical forms, and more. Reporting Services experts Brian McDonald, Rodney Landrum, and Shawn McGehee show how to do all this and much more in this third edition of their longstanding book on the topic. Provides best practices for using Reporting Services Covers the very latest in new features for SQL Server 2012 Your key to delivering business intelligence across the enterprise

FileMaker® 12 In Depth Do more in less time! FileMaker 12 In Depth is the most comprehensive, coherent, and practical guide to creating professional-quality solutions with the newest versions of FileMaker! Drawing on his unsurpassed real-world experience as a FileMaker user, consultant, and developer, Jesse Feiler helps you gain practical mastery of today’s newest, most advanced FileMaker tools and features. • Use themes to build solutions for FileMaker Pro on Windows and OS X, FileMaker Go on iOS, and Instant Web Publishing • Get the most out of new container field technology • Quickly become a FileMaker 12 power user • Make the most of FileMaker fields, tables, layouts, and parts • Iteratively design reliable, high-performance FileMaker relational databases • Work with relationships, including self-joins and cross-product relationships • Write calculation formulas and use functions • Use event-driven scripts to make databases more interactive • Build clear and usable reports, publish them, and incorporate them into workflows • Secure applications with user accounts, privileges, file-level access, network security, and authentication • Use FileMaker’s Web Viewer to access live web-based data • Convert systems from older versions of FileMaker, and troubleshoot successfully • Share, exchange, export, and publish data via SQL and XML • Instantly publish databases on the web, and use advanced Custom Web Publishing techniques • Trigger automated behaviors whenever specific events occur • Extend FileMaker’s functionality with plug-ins • Set up, configure, tune, and secure FileMaker Server All In Depth books offer • Comprehensive coverage with detailed solutions • Troubleshooting help for tough problems you can’t fix on your own • Outstanding authors recognized worldwide for their expertise and teaching style Learning, reference, problem-solving... the only FileMaker 12 book you need!

Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

Data is getting bigger and more complex by the day, and so are the choices in handling that data. As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology. Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key/value, columnar, document and graph-and which kinds of problems are best suited to each. You'll learn how MongoDB and CouchDB are strikingly different, and discover the Dynamo heritage at the heart of Riak. Make your applications faster with Redis and more connected with Neo4J. Use MapReduce to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2). Discover the CAP theorem and its implications for your distributed data. Understand the tradeoffs between consistency and availability, and when you can use them to your advantage. Use multiple databases in concert to create a platform that's more than the sum of its parts, or find one that meets all your needs at once. Seven Databases in Seven Weeks will take you on a deep dive into each of the databases, their strengths and weaknesses, and how to choose the ones that fit your needs. What You Need: To get the most of of this book you'll have to follow along, and that means you'll need a *nix shell (Mac OSX or Linux preferred, Windows users will need Cygwin), and Java 6 (or greater) and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

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.

Throughout history, advances in technology have come in spurts. A single great idea can often spur rapid change as the idea takes hold and is propagated, often in totally unexpected directions. Exadata embodies such a change in how we think about and manage relational databases. The key change lies in the concept of offloading SQL processing to the storage layer. That concept is a huge win, and its implementation in the form of Exadata is truly a game changer. Expert Oracle Exadata will give you a look under the covers at how the combination of hardware and software that comprise Exadata actually work. Authors Kerry Osborne, Randy Johnson, and Tanel Pöder share their real-world experience, gained through multiple Exadata implementations with the goal of opening up the internals of the Exadata platform. 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. Will changes the way you think about managing SQL performance and processing Provides a roadmap to laying out the Exadata platform to best support your existing systems Dives deeply into the internals, removing the "black box" mystique and showing how Exadata actually works What you'll learn Configure Exadata from the ground up Optimize for mixed OLTP/DW workloads Migrate large data sets from existing systems Connect Exadata to external systems Support consolidation stratigies using the Resource Manager Configure high-availability features of Exadata, including real application clusters (RAC) and automatic storage management (ASM) Apply tuning strategies utilizing the unique features of Exadata Who this book is for Expert Oracle Exadata is for database administrators and developers who want to understand what makes Exadata unique so that they can take advantage of all the platform has to offer. It is also for anyone who needs to plan and execute migrations of systems to the Exadata platform. Finally, the book will be invaluable to those who support and maintain such systems.

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Teaching the SQL skills that businesses demand when hiring programmers If you're a SQL beginner, you don't just want to learn SQL basics, you also want to get some practical SQL skills you can use in the job market. This book gives you both. Covering the basics through intermediate topics with clear explanations, hands-on exercises, and helpful solutions, this book is the perfect introduction to SQL. Topics include both the current SQL:2008 standards, the upcoming SQL:2011 standards, and also how to use SQL against current releases of the most popular commercial SQL databases, such as Oracle, SQL Server, and MySQL. Introduces SQL concepts, explains SQL statements, and clearly shows how to write efficient and effective SQL code Uses a hands-on style and a sample database that incorporates all SQL concepts taught in the book; this database will be enhanced through the book as key points and lessons are covered Covers topics such as how SQL interacts with the sample database via various interfaces, including vendor-provided utilities, programming languages, SQL clients, and productivity software Includes appendices with primers on database normalization, set theory and bollean algebra, RDBMS software step-by-step setup guides, and database connectivity Learn how to write effective, efficient SQL code with Discovering SQL: A Hands-On Guide for Beginners.