Databaser

PHP giver websider dynamik i form af mulighed for at arbejde med data, regne på data og vise data i nye sammenhænge. Dermed kan websider reagere på bruger input og tilpasses til forskellige brugere og scenarier. Du vejledes igennem installation af PHP på webhotel og din egen computer. Editor funktioner gennemgås så du nemt kan lave dine første HTML sider med PHP.Få meget mere ud af PHP ved en grundig introduktion til variabler, arrays, associative arrays, flerdimensionelle arrays samt betingelser, operatorer gentagelser og løkker. Opnå kreativ frihed ved at forstå de grundlæggende funktioner i PHP, så du ikke begrænses af tekniske hindringer. Det behøver ikke at tage lang tid at komme i gang med at programmere i PHP og udbyttet er en dynamik som giver helt nye fantastiske digitale muligheder. Og så er det sjovt at programmere!

The third edition of Database Principles maintains its engaging writing style and brevity; its unique balance between theory and practice; and its wealth of examples throughout the text. It provides a solid and practical foundation for the design, implementation and management of database systems. The new edition has been updated with all the latest developments and technologies and incorporates a generous number of localised and motivating business vignettes that tie the concepts to real-life situations. The coverage of SQL provides numerous examples and simpler explanations that focus on areas most important for a database career. This edition is suitable for a first course in databases at undergraduate level and will also provide essential material for conversion postgraduate courses. Providing comprehensive and practical coverage of core database concepts, it is an ideal text not only for those studying database management systems in the context of computer science, but also those on courses in the areas of information systems and business information technology.

This practical guide explains you to program and understand the power of Apache Cassandra 3.x. You will explore the integration and interaction of Cassandra components, and explore features such as the token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail.

This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in exploratory data analysis, pattern mining, clustering, and classification. New to this second edition are several chapters on regression, including neural networks and deep learning.

Use window functions to optimize your T-SQL queries for greater simplicity, elegance, and performance Discover the surprising power of window functions, and learn how to use them far more widely The most advanced coverage of T-SQL window functions — including new techniques invented by author Itzik Ben-Gan, one of the world's top T-SQL experts Covers T-SQL for all recent versions of Microsoft SQL Server (including 2019) and Microsoft Azure SQL Database — including important new window function optimizations Ideal for DBAs, developers, and anyone who uses T-SQL to solve business problems Most T-SQL developers recognize the value of window functions for data analysis calculation. But window functions can do far more than that, and optimizations in recent versions of SQL Server have made them more powerful than ever. In T-SQL Window Functions: For Data Analysis and Beyond, renowned T-SQL expert Itzik Ben-Gan introduces breakthrough techniques for using window functions to handle many common T-SQL querying tasks with unprecedented elegance and power.Ben-Gan first explains why window functions can often be a far better solution than traditional predicate-based approaches. Next, using extensive code examples, he guides you through each type of window function: Aggregate, Ranking, Distribution and Offset. You'll find detailed coverage of ordered set functions (including SQL Server 2017's STRING_AGG); plus an extensive section on optimization. The book concludes with roughly 100 pages of real T-SQL solutions using window function approaches — including techniques invented by the author and available in no other book.

Updated to emphasize new features in Spark 2.4., this second edition shows data engineers and scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine-learning algorithms.

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, youll examine how to analyze data at scale to derive insights from large datasets efficiently.Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery youre not familiar with or prefer to focus on specific tasks, this reference is indispensable.

In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence. Deep Reinforcement Learning in Python: A Hands-On Introduction is the fastest and most accessible way to get started with DRL. The authors teach through practical hands-on examples presented with their advanced OpenAI Lab framework. While providing a solid theoretical overview, they emphasize building intuition for the theory, rather than a deep mathematical treatment of results. Coverage includes: Components of an RL system, including environment and agents Value-based algorithms: SARSA, Q-learning and extensions, offline learning Policy-based algorithms: REINFORCE and extensions; comparisons with value-based techniques Combined methods: Actor-Critic and extensions; scalability through async methods Agent evaluation Advanced and experimental techniques, and more How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning Reduces the learning curve by relying on the authors' OpenAI Lab framework: requires less upfront theory, math, and programming expertise Provides well-designed, modularized, and tested code examples with complete experimental data sets to illuminate the underlying algorithms Includes case studies, practical tips, definitions, and other aids to learning and mastery Prepares readers for exciting future advances in artificial general intelligenceThe accessible, hands-on, full-color tutorial for building practical deep reinforcement learning solutions How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning Reduces the learning curve by relying on the authors' OpenAI Lab framework: requires less upfront theory, math, and programming expertise Provides well-designed, modularized, and tested code examples with complete experimental data sets to illuminate the underlying algorithms Includes case studies, practical tips, definitions, and other aids to learning and mastery Prepares readers for exciting future advances in artificial general intelligence

Whether you're pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that's affordable, high capacity, easy to manage, agile, and reliable.

Written with the verve of such works as The Big Short, The History of the Future, and The Spider Network, here is the fascinating, true story of the rise of Ethereum, the second-biggest digital asset in the world, the growth of cryptocurrency, and the future of the internet as we know it.Everyone has heard of Bitcoin, but few know about the second largest cryptocurrency, Ethereum, which has been heralded as the "next internet."The story of Ethereum begins with Vitalik Buterin, a supremely gifted nineteen-year-old autodidact who saw the promise of blockchain when the technology was in its earliest stages. He convinced a crack group of coders to join him in his quest to make a super-charged, global computer.The Infinite Machine introduces Vitalik's ingenious idea and unfolds Ethereum's chaotic beginnings. It then explores the brilliant innovation and reckless greed the platform-an infinitely adaptable foundation for experimentation and new applications-has unleashed and the consequences that resulted as the frenzy surrounding it grew: increased regulatory scrutiny, incipient Wall Street interest, and the founding team's effort to get the Ethereum platform to scale so it can eventually be accessible to the masses.Financial journalist and cryptocurrency expert Camila Russo details the wild and often hapless adventures of a team of hippy-anarchists, reluctantly led by an ambivalent visionary, and lays out how this new foundation for the internet will spur both transformation and fraud-turning some into millionaires and others into felons-and revolutionize our ideas about money.

Master database creation and managementAccess 2019 Bible is your, comprehensive reference to the world's most popular database management tool. With clear guidance toward everything from the basics to the advanced, this go-to reference helps you take advantage of everything Access 2019 has to offer. Whether you're new to Access or getting started with Access 2019, you'll find everything you need to know to create the database solution perfectly tailored to your needs, with expert guidance every step of the way. The companion website features all examples and databases used in the book, plus trial software and a special offer from Database Creations. Start from the beginning for a complete tutorial, or dip in and grab what you need when you need it.Access enables database novices and programmers to store, organize, view, analyze, and share data, as well as build powerful, integrable, custom database solutions -- but databases can be complex, and difficult to navigate. This book helps you harness the power of the database with a solid understanding of their purpose, construction, and application.* Understand database objects and design systems objects* Build forms, create tables, manipulate datasheets, and add data validation* Use Visual Basic automation and XML Data Access Page design* Exchange data with other Office applications, including Word, Excel, and moreFrom database fundamentals and terminology to XML and Web services, this book has everything you need to maximize Access 2019 and build the database you need.

Machine Learning Dynamical Systems and Control. Mathematics, Computational science, Control systems and optimization

Key features * Jargon-free * Step-by-step guide * Real-world examples Audience This book provides a jargon-free introduction to Bitcoin for any technically interested reader. Some chapters address technical concepts that require basic knowledge of networking and programming.

If you are leading an organization or if you need to communicate with leaders about data management, Navigating the Labyrinth is your guide. Organizations that want to get value from their data need to manage that data well. But to most executives, data management seems obscure, complicated, and highly technical. You don't have time to learn all the detail or cut through the hype. Navigating the Labyrinth helps you get there. Based on best practices from DAMA's Data Management Body of Knowledge (DMBOK2), it explains the fundamentals and says why they are important. It focuses your attention on what you need to know to help your organization build trust in and get value out of its data.

Fokusgrupper for begyndere er en praktisk hånd­bog. Den henvender sig til medarbejdere i virksomheder, foreninger og organisationer og til studerende på videregående uddannelser, der skal gennemføre fokusgrupper for første gang.Når man for første gang skal gennemføre en række fokusgrupper, er det ofte de helt små, praktiske detaljer, der giver de største problemer:Hvor mange grupper skal man afholde? Hvor mange deltagere skal der være i hver gruppe? Hvordan finder man overhovedet deltagerne? Hvordan laver man en god spørgeramme? Hvad skal man som moderator være særligt opmærksom på? Og hvordan i alverden analyserer man de kvalitative data?Fokusgrupper for begyndere gennemgår hele forløbet i forbindelse med en fokusgruppe og giver praktiske råd og tip til hver etape. Sidst i hvert kapitel er der en huskeliste med områder, der kræver særlig opmærksomhed.2. udgave er desuden opdateret med et nyt kapitel om, hvordan fokusgrupper kan anvendes i forbindelse med test af digitale medier.

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management.

Use data, analytics and metrics to make better HR decisions for your business.

Forensic image acquisition is an important part of postmortem incident response and evidence collection. Digital forensic investigators acquire, preserve, and manage digital evidence to support civil and criminal cases; examine organizational policy violations; resolve disputes; and analyze cyber attacks.Practical Forensic Imaging takes a detailed look at how to secure and manage digital evidence using Linux-based command line tools. This essential guide walks you through the entire forensic acquisition process and covers a wide range of practical scenarios and situations related to the imaging of storage media.You'll learn how to:-Perform forensic imaging of magnetic hard disks, SSDs and flash drives, optical discs, magnetic tapes, and legacy technologies-Protect attached evidence media from accidental modification-Manage large forensic image files, storage capacity, image format conversion, compression, splitting, duplication, secure transfer and storage, and secure disposal-Preserve and verify evidence integrity with cryptographic and piecewise hashing, public key signatures, and RFC-3161 timestamping-Work with newer drive and interface technologies like NVME, SATA Express, 4K-native sector drives, SSHDs, SAS, UASP/USB3x, and Thunderbolt-Manage drive security such as ATA passwords; encrypted thumb drives; Opal self-encrypting drives; OS-encrypted drives using BitLocker, FileVault, and TrueCrypt; and others-Acquire usable images from more complex or challenging situations such as RAID systems, virtual machine images, and damaged mediaWith its unique focus on digital forensic acquisition and evidence preservation, Practical Forensic Imaging is a valuable resource for experienced digital forensic investigators wanting to advance their Linux skills and experienced Linux administrators wanting to learn digital forensics. This is a must-have reference for every digital forensics lab.

Thinking of migrating to PostgreSQL? This clear, fast-paced introduction helps you understand and use this open source database system. Not only will you learn about the enterprise class features in versions 9.5 to 10, you'll also discover that PostgeSQL is more than a database system-it's an impressive application platform as well.

Prepare for Microsoft Exam 70-765-and help demonstrate your real-world mastery of provisioning SQL Server databases both on premise and in SQL Azure. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Implement SQL in Azure Manage databases and instances Manage storage This Microsoft Exam Ref: Organises its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have working knowledge of SQL Server administration and maintenance, as well as Azure skills Exam 70-765 focuses on skills and knowledge for provisioning, upgrading, and configuring SQL Server; managing databases and files; and provisioning, migrating, and managing databases in the Microsoft Azure cloud.

This book is the first to present a rich selection of over 30 real-world cases of how leading organizations conduct Business Process Management (BPM). All cases are presented using a uniform structure in order to provide valuable insights and essential guidance for students and practitioners.

One of the most useful features of todays modern browsers is the ability to store data right on the users computer or mobile device. Even as more people move toward the cloud, client-side storage can still save web developers a lot of time and money, if you do it right. This hands-on guide demonstrates several storage APIs in action. Youll learn how and when to use them, their plusses and minuses, and steps for implementing one or more of them in your application.Ideal for experienced web developers familiar with JavaScript, this book also introduces several open source libraries that make storage APIs easier to work with.Learn how different browsers support each client-side storage APIWork with web (aka local) storage for simple things like lists or preferencesUse IndexedDB to store nearly anything you want on the users browserLearn how support web apps that still use the discontinued Web SQL Database APIExplore Lockr, Dexie, and localForage, three libraries that simplify the use of storage APIsBuild a simple working application that makes use of several storage techniques

Does the subject of data analysis make you dizzy? This book features introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages. It helps you to identify valid, useful, and understandable patterns in data.

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use.

This revised and updated edition of the bestseller provides a complete library of dimensional modeling techniques, the most comprehensive collection ever written.

Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop.