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Books > Computing & IT > Computer software packages > Database software > General
SQL Server 2008 is the latest update to Microsoft's flagship
database management system. This is the largest update since SQL
Server 2005. SQL Server 2008 is a much more significant update than
SQL Server 2005, because it brings increased ability to deliver
data across more platforms, and thus many different types of
devices. New functionality also allows for easy storage and
retrieval of digitized images and video. These attributes address
the recent explosion in the popularity of web-based video and
server and desktop virtualization.
Thorough and updated coverage of database design and SQL for DB2 are the focus of this guide for the relational database-management system used on IBM i computer systems. Suitable for classroom instruction or self-study, this book explains the most widely used database language and the way that language is implemented on a variety of computer platforms. Topics covered include database concepts, SQL inquiries, web applications, and database security, and the material is reinforced by numerous illustrations, examples, and exercises.
Databases are now an integral part of the internet and many web sites use databases in the background to control their content. MySQL is one of the most commonly used open source database management systems. Due to it’s bundling with PHP, MySQL has proved a popular choice for many sites as it enables a database driven, content managed website to be set up with little or no software costs. This book will show you how to design and use databases for the web using MySQL as a tool to learn SQL. Key Topics Installing and testing MySQL SQL basics, and using SQL to communicate with databases Database design techniques and concepts Using MySQL with PHP, Apache and Perl How to make other products communicate with MySQL Features and Benefits. Gives an insight into how databases work in relation to the web. Introduces general SQL techniques by means of MySQL. Explains the concepts behind a structured query language and how it can be used to communicate with databases. Provides an introduction to database design and how an efficiently designed database can improve the performance of MySQL.
The PACE System: An Expert Consulting System for Nursing provides a case study of the research, design, implementation, and commercial distribution of this decision support system. Beginning with a summary of PACE's twenty year development and its start as a university-based system, the author contrasts the original system with its current version to give a concrete understanding of its evolution. Further chapters discuss issues in the initial development of the knowledge base; the specific activities and efforts needed to acquire, maintain, and manage the knowledge base; how the network is maintained. The implementation, distribution, and subsequent validation of the entire clinical system is reviewed. Principles and lessons from the development of PACE are analyzed with the hope that today's researchers and developers will glean useful information from these earlier efforts.
This book is intended primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available for downloading from the publisher. FEATURES: Provides the reader with basic Python 3, Java, and Pandas programming concepts, and an introduction to awk. Includes a chapter on RDBMs and SQL. Companion files with code.
Design and configure SQL Server instances and databases in support of high-throughput, mission-critical applications providing consistent response times in the face of variations in numbers of users and query volumes. In this new edition, with over 100 pages of additional content, every original chapter has been updated for SQL Server 2019, and the book also includes two new chapters covering SQL Server on Linux and Intelligent Query Processing. This book shows you how to configure SQL Server and design your databases to support a given instance and workload. You will learn advanced configuration options, in-memory technologies, storage and disk configuration, and more, all aimed toward enabling your desired application performance and throughput. Configuration doesn't stop with implementation. Workloads change over time, and other impediments can arise to thwart desired performance. High Performance SQL Server covers monitoring and troubleshooting to aid you in detecting and fixing production performance problems and minimizing application outages. You will learn about a variety of tools, ranging from the traditional wait analysis methodology to the query store or indexing, and you will learn how improving performance is an iterative process. This book is an excellent complement to query performance tuning books and provides the other half of what you need to know by focusing on configuring the instances on which mission-critical queries are executed. What You Will Learn Understand SQL Server's database engine and how it processes queries Configure instances in support of high-throughput applications Provide consistent response times to varying user numbers and query volumes Design databases for high-throughput applications with focus on performance Record performance baselines and monitor SQL Server instances against them Troubleshot and fix performance problems Who This Book Is For SQL Server database administrators, developers, and data architects. The book is also of use to system administrators who are managing and are responsible for the physical servers on which SQL Server instances are run.
Object-oriented database management systems (OODBMS) are expected to serve advanced application domains such as engineering design, office information systems, imaging systems, and multimedia. This book, based on a NATO Advanced Research Workshop, covers all aspects of object-oriented database systems from design principles to implementation of prototypes. Topics covered include model concepts, query optimization, query languages, functional programming formalism, storage systems, transaction models, interoperability, distributed computing, rule languages, open architectures, hypermedia systems, and many others. Designers and developers will benefit from the comprehensive presentation of the various modules of such systems, while practitioners will find examples of implemented prototypes.
Cutting-edge information on databases for research and clinical practice in neuropathy! Quantitative Electroencephalographic Analysis (QEEG) Databases for Neurotherapy: Description, Validation, and Application examines the strengths and limitations of QEEG databases as a tool for the diagnosis of neurological and psychiatric disorders. This book is written by experts who have had considerable experience in either the development of databases or in working with them. This text can improve your ability to fine-tune existing protocols and develop new ones leading to better treatment, better long-term outcome, and fewer training sessions. Quantitative Electroencephalographic Analysis (QEEG) Databases for Neurotherapy can help you differentiate cognitive states, clinical disorders, and EEG changes throughout the lifespan of a patient. This book also reveals the latest technological developments and methodological practices, and comparisons are made between EEG databases to help you determine what is best for your needs. Several controversies involving quantitative EEGs are discussed, including ethical concerns and early criticisms against the use of these methods for diagnostic purposes. This book addresses important topics such as: the development of methodology for estimating the deviance from the database norms to determine abnormal brain functioning the most widely used QEEG databasestheir construction and application as well as a comparison and contrast of their features the creation of a universal set of standards for determining which database is suitable for a researcher's or practitioner's needs the use of quantitative EEG and normative databases for clinical purposesethical concerns, advantages and limitations, and the proposal for a new clinical approach for neurotherapy the comparison of QEEG reference databases in analysis and in the evaluation of Adult Attention Deficit Hyperactivity Disorder Quantitative Electroencephalographic Analysis (QEEG) Databases for Neurotherapy is supplemented with case studies, tables, figures, and graphs to support the experts' most recent findings. Furthermore, several chapters contain topographic maps to show the effects of these databases in clinical practice. This volume will be helpful to both novice and advanced neurotherapists in professions such as medicine, psychiatry, psychology, social work, nursing, and biofeedback.
Access all the information you need to begin using the MySQL Database Service (MDS) in the Oracle Cloud Infrastructure (OCI). MDS is Oracle's new platform as a service (PAAS) offering for open-source database users. This book covers getting started with an account in OCI, gives a brief overview of OCI services available, and provides a short tutorial on MDS. Reading this book helps you take advantage of the powerful OCI features by building your own MySQL database in the cloud. Examples in this book center around running MDS in OCI, and include several of the popular use cases as well as advice on how to implement them. In addition, you will learn more about the related MDS OCI features, such as the high availability features currently available. Finally, you will learn how to back up and restore your data as well as how to get your data into and out of the cloud. The skills you learn in this book will help you get started using MDS and letting Oracle do the heavy lifting of managing MDS operations and implementation. What You Will Learn Use Oracle Cloud Infrastructure (OCI) Deploy MySQL Database Service (MDS) systems in the cloud Connect your applications to MDS Back up and recover using the data recovery features of MDS Employ the newest high availability features of MDS Who This Book Is For Systems engineers, developers, and database professionals who want to learn about the powerful features of the MySQL Database Service (MDS) and how to incorporate cloud-based database storage into their infrastructure and applications. Readers who are new to MySQL will appreciate the tutorial chapter, and those familiar with MySQL will learn the latest features of MDS as well as how to build inexpensive, powerful MySQL database servers in the Oracle Cloud Infrastructure (OCI).
A Comprehensive Study of SQL - Practice and Implementation is designed as a textbook and provides a comprehensive approach to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. It demonstrates how to leverage the two most vital tools for data query and analysis - SQL and Excel - to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application. Features The book provides a complete collection of modeling techniques, beginning with fundamentals and gradually progressing through increasingly complex real-world case studies It explains how to build, populate, and administer high-performance databases and develop robust SQL-based applications It also gives a solid foundation in best practices and relational theory The book offers self-contained lessons on key SQL concepts or techniques at the end of each chapter using numerous illustrations and annotated examples This book is aimed primarily at advanced undergraduates and graduates with a background in computer science and information technology. Researchers and professionals will also find this book useful.
Whether you're an application developer, database administrator, web application designer, mobile app developer, or Microsoft Office users, a good working knowledge of SQL is an important part of interacting with databases. And Sams Teach Yourself SQL in 10 Minutes offers the straightforward, practical answers you need to help you do your job. Expert trainer and popular author Ben Forta teaches you just the parts of SQL you need to know-starting with simple data retrieval and quickly going on to more complex topics including the use of joins, subqueries, stored procedures, cursors, triggers, and table constraints. You'll learn methodically, systematically, and simply-in short, quick lessons that will each take only 10 minutes or less to complete.
Prepare for Microsoft Exam 70-767-and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: * Design, and implement, and maintain a data warehouse * Extract, transform, and load data * Build data quality solutionsThis Microsoft Exam Ref: * Organizes its coverage by exam objectives * Features strategic, what-if scenarios to challenge you * Assumes you have working knowledge of relational database technology and incremental database extraction, as well as experience with designing ETL control flows, using and debugging SSIS packages, accessing and importing or exporting data from multiple sources, and managing a SQL data warehouse. Implementing a SQL Data Warehouse About the Exam Exam 70-767 focuses on skills and knowledge required for working with relational database technology. About Microsoft Certification Passing this exam earns you credit toward a Microsoft Certified Professional (MCP) or Microsoft Certified Solutions Associate (MCSA) certification that demonstrates your mastery of data warehouse management Passing this exam as well as Exam 70-768 (Developing SQL Data Models) earns you credit toward a Microsoft Certified Solutions Associate (MCSA) SQL 2016 Business Intelligence (BI) Development certification. See full details at: microsoft.com/learning
To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting-and lucrative!-careers in some of today's hottest programming fields. Key Features * 2D and 3D vector math * Matrices and linear transformations * Core concepts from linear algebra * Calculus with one or more variables * Algorithms for regression, classification, and clustering * Interesting real-world examples Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required. About the technology Most businesses realize they need to apply data science and effective machine learning to gain and maintain a competitive edge. To build these applications, they need developers comfortable writing code and using tools steeped in statistics, linear algebra, and calculus. Math also plays an integral role in other modern applications like game development, computer graphics and animation, image and signal processing, pricing engines, and stock market analysis. Paul Orland is CEO of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. As founding CTO, he led the engineering team to productize hybrid machine learning and physics models, distributed optimization algorithms, and custom web-based data visualizations. He has a B.S. in mathematics from Yale University and a M.S. in physics from the University of Washington.
Use window functions to write simpler, better, more efficient T-SQL queries Most T-SQL developers recognize the value of window functions for data analysis calculations. But they can do far more, and recent optimizations make them even more powerful. In T-SQL Window Functions, renowned T-SQL expert Itzik Ben-Gan introduces breakthrough techniques for using them to handle many common T-SQL querying tasks with unprecedented elegance and power. Using extensive code examples, he guides you through window aggregate, ranking, distribution, offset, and ordered set functions. You'll find a detailed section on optimization, plus an extensive collection of business solutions - including novel techniques available in no other book. Microsoft MVP Itzik Ben-Gan shows how to: * Use window functions to improve queries you previously built with predicates * Master essential SQL windowing concepts, and efficiently design window functions * Effectively utilize partitioning, ordering, and framing * Gain practical in-depth insight into window aggregate, ranking, offset, and statistical functions * Understand how the SQL standard supports ordered set functions, and find working solutions for functions not yet available in the language * Preview advanced Row Pattern Recognition (RPR) data analysis techniques * Optimize window functions in SQL Server and Azure SQL Database, making the most of indexing, parallelism, and more * Discover a full library of window function solutions for common business problems About This Book * For developers, DBAs, data analysts, data scientists, BI professionals, and power users familiar with T-SQL queries * Addresses any edition of the SQL Server 2019 database engine or later, as well as Azure SQL Database Get all code samples at: MicrosoftPressStore.com/TSQLWindowFunctions/downloads
A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. - Provides the perfect mix of practice and theory - Helps you become a DIY Excel modelling specialist - Includes updates for Excel 2019/365 and Excel for Mac - May be used as an accompaniment to the author's online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling.
The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.
With SQL Server Analysis Services 2016, Microsoft has dramatically upgraded its Tabular approach to business intelligence data modeling, making Tabular the easiest and best solution for most new projects. In this book, two world-renowned experts in Microsoft data modeling and analysis cover all you need to know to create complete BI solutions with these powerful new tools. Marco Russo and Alberto Ferrari walk you step-by-step through creating powerful data models, and then illuminate advanced features such as optimization, deployment, and scalability. Tabular Modeling in Microsoft SQL Server Analysis Services will be indispensable for everyone moving to Analysis Services Tabular, regardless of their previous experience with tabular-style models or with Microsoft's older Analysis Services offerings. It will also be an essential follow-up for every reader of the authors' highly-praised Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model.
Learn the basics of Microsoft Azure and see how SQL Server on Azure VMs (Infrastructure-as-a-Service) and Azure SQL Databases (Platform-as-a-Service) work. This concise book shows you how to deploy, operate, and maintain your data using any one or a combination of these offerings along with your on-premise environment. Pro SQL Server on Microsoft Azure is a quintessential book for any IT professional who is planning to host their data on Microsoft Azure. This book will not only equip you with the tips, tricks, and tools to manage SQL Server offerings on Azure, but will also help you in deciding between PaaS, IaaS, or hybrid. In the ever-changing world of operations, IT administrators and SQL Server DBAs often find that the biggest challenges occur once they've deployed to the cloud. This is precisely why Pro SQL Server on Microsoft Azure was written; it will help you master today's cloud world. What You'll Learn Understand the Microsoft Azure IaaS architecture Work with Azure Storage and Networking Deploy SQL Server on Azure VMs using best practices Apply effective security principles to SQL Azure Databases Measure and optimize the performance of SQL Server offerings on Azure Implement Business continuity and disaster recovery options with Azure SQL Databases Who This Book Is For This book is for IT admins and SQL Server DBAs who are managing or would be managing SQL Server deployments on Microsoft Azure. v>
This brief book is an introduction to SQLite for both iOS and Android developers. The book includes an optional introduction to SQL, a discussion of when to use SQLite, and chapters devoted to using SQLite with the most likely programming languages and then goes through adding a simple database to an Android or iOS app and finally a chapter on managing the app's life cycle. What You Will Learn: * The basics of SQLite* The SQL you need to use SQLite effectively* How to integrate a database into your mobile app.* How to maintain the app Who this book is for: This book is for Android or iOS developers who wish to use a lightweight but flexible database for their applications. It mobile development experience but does not assume anything but very basic database knowledge.
This book introduces the problems facing Internet of Things developers and explores current technologies and techniques to help you manage, mine, and make sense of the data being collected through the use of the world's most popular database on the Internet - MySQL. The IoT is poised to change how we interact with and perceive the world around us, and the possibilities are nearly boundless. As more and more connected devices generate data, we will need to solve the problem of how to collect, store, and make sense of IoT data by leveraging the power of database systems. The book begins with an introduction of the MySQL database system and storage of sensor data. Detailed instructions and examples are provided to show how to add database nodes to IoT solutions including how to leverage MySQL high availability, including examples of how to protect data from node outages using advanced features of MySQL. The book closes with a comparison of raw and transformed data showing how transformed data can improve understandability and help you cut through a clutter of superfluous data toward the goal of mining nuggets of useful knowledge. In this book, you'll learn to: Understand the crisis of vast volumes of data from connected devices Transform data to improve reporting and reduce storage volume Store and aggregate your IoT data across multiple database servers Build localized, low-cost MySQL database servers using small and inexpensive computers Connect Arduino boards and other devices directly to MySQL database servers Build high availability MySQL solutions among low-power computing devices
Introductory textbook covering all the main features of the 'web programming' languages PHP and MySQL together with detailed examples that will enable readers (whether students on a taught course or independent learners) to use them to create their own applications or understand existing ones. A particular focus is the use of PHP to generate MySQL commands from a script as it is executed. Each chapter includes aims, a summary and practical exercises (with solutions) to support learning. Chapters are designed to stand alone as far as possible, so that they can be studied independently of the rest of the text by those with some previous knowledge of the languages. There is a comprehensive glossary of technical terms, together with extensive appendices for quick reference of language features.
Pro Couchbase Development: A NoSQL Platform for the Enterprise discusses programming for Couchbase using Java and scripting languages, querying and searching, handling migration, and integrating Couchbase with Hadoop, HDFS, and JSON. It also discusses migration from other NoSQL databases like MongoDB. This book is for big data developers who use Couchbase NoSQL database or want to use Couchbase for their web applications as well as for those migrating from other NoSQL databases like MongoDB and Cassandra. For example, a reason to migrate from Cassandra is that it is not based on the JSON document model with support for a flexible schema without having to define columns and supercolumns. The target audience is largely Java developers but the book also supports PHP and Ruby developers who want to learn about Couchbase. The author supplies examples in Java, PHP, Ruby, and JavaScript. After reading and using this hands-on guide for developing with Couchbase, you'll be able to build complex enterprise, database and cloud applications that leverage this powerful platform.
"Robert Pearl, a well-known DBA in the SQL community, explains his holistic vision of a database instance that needs regular check-ups and gives the tools, scripts, and best practices he has collected over the years." Alberto Bolchini, Computing Reviews, May 9, 2016 Healthy SQL is about ensuring the ongoing performance health of a SQL Server database. An unhealthy database is not just an inconvenience; it can bring a business to its knees. And if you are the database administrator, the health of your SQL Server implementation can be a direct reflection on you. It's in everyone's best interest to have a healthy SQL implementation. Healthy SQL is built around the concept of a medical checkup, giving you the tools you need to assess the current health of your database and take action to improve upon that health and maintain good performance to your business. Healthy SQL aids in developing a rigorous routine so that you know how healthy your SQL Server machines are, and how you can keep those same servers healthy and fit for duty. The book is filled with practical advice and a time-tested strategy, helping you put together a regimen that will ensure your servers are healthy, your implementation is fully optimized, your services are redundant and highly available, and you have a plan for business continuity in the event of a disaster. If your current environment doesn't match up with these criteria, then pick up a copy of Healthy SQL today and start your journey on the road to a fit and tight SQL Server deployment.
Business Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache. Harness the power of the Reporting Services toolkit to combine charts, gauges, sparklines, indicators, and maps into compelling dashboards and scorecards. Create compelling visualizations that seize your audience's attention and help business users identify and react swiftly to changing business conditions. Best of all, you'll do all these things by creating new value from software that is already installed and paid for - SQL Server and the included SQL Server Reporting Services. Businesses run on numbers, and good business intelligence systems make the critical numbers immediately and conveniently accessible. Business users want access to key performance indicators in the office, at the beach, and while riding the subway home after a day's work. Business Intelligence with SQL Server Reporting Services helps you meet these need for anywhere/anytime access by including chapters specifically showing how to deliver on modern devices such as smart phones and tablets. You'll learn to deliver the same information, with similar look-and-feel, across the entire range of devices used in business today. Key performance indicators give fast notification of business unit performance Polished dashboards deliver essential metrics and strategic comparisons Visually arresting output on multiple devices focuses attention |
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