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Machine Learning Concepts with Python and the Jupyter Notebook Environment - Nikita Silaparasetty - Bog - APress - Plusbog.dk

Machine Learning Concepts with Python and the Jupyter Notebook Environment - Nikita Silaparasetty - Bog - APress - Plusbog.dk

- - Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a regular IDE. You''ll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, you''ll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book. Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier. What You Will Learn - Program in Python and TensorFlow - Tackle basic machine learning obstacles - Develop in the Jupyter Notebooks environment Who This Book Is For Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful.

DKK 509.00
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Soft Skills to Advance Your Developer Career - Zsolt Nagy - Bog - APress - Plusbog.dk

Soft Skills to Advance Your Developer Career - Zsolt Nagy - Bog - APress - Plusbog.dk

As a software developer, your technical skill set is in high demand. Devices and technology have become an integral part of our everyday lives and no digital organization can thrive without technical professionals on the payroll. However, career plateaus are inevitable in even the most high-demand field. Companies do not only need software developers; they need software developers with soft skills. In Soft Skills to Advance Your Developer Career , author Zsolt Nagy explores how emotional intelligence can give your software development career an edge. These subjects are not taught in school, and unfortunately the career advancement of many excellent developers can be blocked by their inability to effectively communicate their needs, assert themselves, and negotiate confidently. Throughout this book, Nagy shows you how to actively improve and prioritize your soft skills so that you can better represent the holistic interests of your team, obtain better working conditions, negotiate raises, and increase your variety of employment options by elevating your interviewing skills. Discover the obstacles standing between you and a fulfilling career by finding and improving strengths you may not have even known you had. Jump out of your box with Soft Skills to Advance Your Developer Career and leverage your expertise with effortless confidence at all stages of your professional journey. What You Will Learn - Examine why software developer careers cannot be treated similarly as any other career path - Understand the four soft-skills you need to advance your career - Develop a strategy for your personal brand and align it with your career plan - Realize the role of assertive communication, and the importance of giving and receiving feedback - Create a plan for setting yourself up for a raise or promotion - Discover techniques for acing the behavioral and coding interview Who This Book Is For Software developers who have the technical skills required for career advancement, but want a guide on how to manage their careers

DKK 332.00
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A Python Data Analyst’s Toolkit - Gayathri Rajagopalan - Bog - APress - Plusbog.dk

A Python Data Analyst’s Toolkit - Gayathri Rajagopalan - Bog - APress - Plusbog.dk

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You''ll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You''ll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis. The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics. What You''ll Learn - Further your programming and analytical skills with Python - Solve mathematical problems in calculus, and set theory and algebra with Python - Work with various libraries in Python to structure, analyze, and visualize data - Tackle real-life case studies using Python - Review essential statistical concepts and use the Scipy library to solve problems in statistics Who This Book Is For Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.

DKK 455.00
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Practical Python Data Visualization - Ashwin Pajankar - Bog - APress - Plusbog.dk

Practical Python Data Visualization - Ashwin Pajankar - Bog - APress - Plusbog.dk

Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book''s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations. You''ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python''s popular data visualization charting library. You''ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You''ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets. The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization you''ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface. What You''ll Learn - Review practical aspects of Python Data Visualization with programming-friendly abstractions - Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu - Visualize COVID-19 data sets with Pandas Who This Book Is For Data Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.

DKK 509.00
1

Kubernetes - Philippe Martin - Bog - APress - Plusbog.dk

Kubernetes - Philippe Martin - Bog - APress - Plusbog.dk

Master all the concepts and tools necessary to start administering a Kubernetes cluster and deploying applications to production. You will cover the entire curricula of the two Kubernetes certifications (for application developers and administrators). The initial chapters guide you through deployment of a Kubernetes cluster on virtual machines and explore the different components of the control plane. Next, you will work with the kubectl command-line tool; namespaces, labels, selectors, and annotations-common resources used through the Kubernetes API. The following chapters describe the principle of controllers and detail how workload controllers work as well as the possibilities for configuring deployed applications. You will also learn how to deploy a scalable and self-healing application, how pods are scheduled to nodes, how parts of the application can communicate, and how the application is discoverable from the outside. Next, you will cover security concerns describing the different authentication methods, the RBAC authorization mode, security contexts, network policies, and how to secure container images. You will also cover using persistent volumes for your containers to store long-term data, monitoring your clusters and applications and implementing design patterns for multi-container pods. The concluding chapters guide you through the upgrade of your deployed cluster. After reading this book, you will have enough knowledge to deploy a complex application using a Kubernetes cluster and be ready for the certification exams. What You Will Learn - Deploy a Kubernetes cluster with kubeadm and learn how the control plane works - Discover how the Kubernetes API is structured - Deploy secure, auto-scaled, and self-healing applications - Master the kubectl command-line tool Who This Book Is For Administrators and application developers with good knowledge of micro-services development and deployment.

DKK 468.00
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Machine Learning Using R - Karthik Ramasubramanian - Bog - APress - Plusbog.dk

Practical Natural Language Processing with Python - Mathangi Sri - Bog - APress - Plusbog.dk

Practical Natural Language Processing with Python - Mathangi Sri - Bog - APress - Plusbog.dk

Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered. Here you cover the bag-of-words model supervised learning technique as you try to solve the case studies. Similar depth is given to other use cases such as online reviews, bots, finance, and so on. As you cover the problems in these industries you''ll also cover sentiment analysis, named entity recognition, word2vec, word similarities, topic modeling, deep learning, and sequence to sequence modelling. By the end of the book, you will be able to handle all types of NLP problems independently. You will also be able to think in different ways to solve language problems. Code and techniques for all the problems are provided in the book. What You Will Learn - Build an understanding of NLP problems in industry - Gain the know-how to solve a typical NLP problem using language-based models and machine learning - Discover the best methods to solve a business problem using NLP - the tried and tested ones - Understand the business problems that are tough to solve Who This Book Is For Analytics and data science professionals who want to kick start NLP, and NLP professionals who want to get new ideas to solve the problems at hand.

DKK 468.00
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Surviving the Whiteboard Interview - William Gant - Bog - APress - Plusbog.dk

Surviving the Whiteboard Interview - William Gant - Bog - APress - Plusbog.dk

The industry standard whiteboard interview can be daunting for developers. Let''s face it: it combines the worst aspects of a typical interview, on-the-spot public speaking, a quiz show, and a dinner party full of strangers judging you-all at once. Brilliant developers can let their nerves get the best of them and completely bomb a whiteboard interview, while inexperienced developers who excel in soft skills can breeze through them. In Surviving the Whiteboard Interview , author William Gant uses his real-world knowledge and expertise to guide you through the psychological roadblocks of a coding test while also providing you with a sample coding challenge. With enough preparation, information, and assured confidence, you can survive a whiteboard interview at any organization. In addition to the benefits listed above, Gant helps you explore how you can create a good soft skills impression that will last beyond the whiteboard test by showing your work ethic, positive attitude, and ability to take and implement criticism effectively. These assets will unequivocally serve other parts of your life outside of an interview context, as well. While Gant does not promise that you will ever truly enjoy interviewing, he does promise to arm you with the proper preparation techniques and knowledge needed to tame the common fears and dread that come along with it. Maximize your career potential and get inspired with Surviving the Whiteboard Interview . The steps to your dream role just might be closer than you think. What You Will Learn - Practice both hard and soft skills required to succeed at a whiteboard interview, covering coding tests as well as psychological preparation - Learn how to make other aspects of your interview stronger, so you can create a great impression - Master solving common whiteboard problems in different programming languages Who This Book is For This book is primarily for aspiring software developers who are looking for a job in the field. However, it will also be helpful for more seasoned developers who find interviewing painful and want to improve their skills.

DKK 332.00
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Hands-on Matplotlib - Ashwin Pajankar - Bog - APress - Plusbog.dk

Hands-on Matplotlib - Ashwin Pajankar - Bog - APress - Plusbog.dk

Learn the core aspects of NumPy, Matplotlib, and Pandas, and use them to write programs with Python 3. This book focuses heavily on various data visualization techniques and will help you acquire expert-level knowledge of working with Matplotlib, a MATLAB-style plotting library for Python programming language that provides an object-oriented API for embedding plots into applications. You'll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, you'll explore NumPy and ndarray data structures, creation routines, and data visualization. You'll examine useful concepts related to style sheets, legends, and layouts, followed by line, bar, and scatter plots. Chapters then cover recipes of histograms, contours, streamplots, and heatmaps, and how to visualize images and audio with pie and polar charts. Moving forward, you'll learn how to visualize with pcolor, pcolormesh, and colorbar, and how to visualize in 3D in Matplotlib, create simple animations, and embed Matplotlib with different frameworks. The concluding chapters cover how to visualize data with Pandas and Matplotlib, Seaborn, and how to work with the real-life data and visualize it. After reading Hands-on Matplotlib you'll be proficient with Matplotlib and able to comfortably work with ndarrays in NumPy and data frames in Pandas. What You'll LearnUnderstand Data Visualization and Python using MatplotlibReview the fundamental data structures in NumPy and Pandas Work with 3D plotting, visualizations, and animationsVisualize images and audio dataWho This Book Is ForData scientists, machine learning engineers and software professionals with basic programming skills.

DKK 519.00
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Cloud-Native Microservices with Apache Pulsar - Mohammad Atyab - Bog - APress - Plusbog.dk

Cloud-Native Microservices with Apache Pulsar - Mohammad Atyab - Bog - APress - Plusbog.dk

Apply different enterprise integration and processing strategies available with Pulsar, Apache''s multi-tenant, high-performance, cloud-native messaging and streaming platform. This book is a comprehensive guide that examines using Pulsar Java libraries to build distributed applications with message-driven architecture. You''ll begin with an introduction to Apache Pulsar architecture. The first few chapters build a foundation of message-driven architecture. Next, you''ll perform a setup of all the required Pulsar components. The book also covers work with Apache Pulsar client library to build producers and consumers for the discussed patterns. You''ll then explore the transformation, filter, resiliency, and tracing capabilities available with Pulsar. Moving forward, the book will discuss best practices when building message schemas and demonstrate integration patterns using microservices. Security is an important aspect of any application; the book will cover authentication and authorization in Apache Pulsar such as Transport Layer Security (TLS), OAuth 2.0, and JSON Web Token (JWT). The final chapters will cover Apache Pulsar deployment in Kubernetes. You''ll build microservices and serverless components such as AWS Lambda integrated with Apache Pulsar on Kubernetes. After completing the book, you''ll be able to comfortably work with the large set of out-of-the-box integration options offered by Apache Pulsar. What You''ll Learn - Examine the important Apache Pulsar components - Build applications using Apache Pulsar client libraries - Use Apache Pulsar effectively with microservices - Deploy Apache Pulsar to the cloud Who This Book Is For Cloud architects and software developers who build systems in the cloud-native technologies.

DKK 509.00
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Character Rigging and Advanced Animation - Purushothaman Raju - Bog - APress - Plusbog.dk

Character Rigging and Advanced Animation - Purushothaman Raju - Bog - APress - Plusbog.dk

Gain a thorough understanding of animation and character rigging using Autodesk 3ds Max to create realistic character animations. This book is split into three modules that are subsequently divided into chapters. The first module is the foundation module: in this module you''ll cover, among other topics, the 12 cardinal principles of animation with reference to classic real-world examples and famous movies/animation shots. Using these, the further chapters explore using key frames and graph editors to obtain fluid motion in your animations. Practical examples are used to better explain which feature suits a particular scenario. The second module, called the backbone module, introduces you to deformation tools and their use for character animation. Further chapters cover driven animations, constraints posed by bones, bipeds, and the CAT tools available in 3ds Max 2019. The final module, the lifeline module, encourages you to bring your character to life by applying principles learnt in the previous modules. Here you will be guided on how to retarget animations from one character to other characters or rigs. On completing Character Rigging and Advance Animation , you will be able to create character rigs for bipeds and quadrupeds with ease, animating them with life-like motion. What You Will Learn - Understand the 12 principles of animation - Set up an animation-ready character rig from scratch - Master the deformation tools available for animation Who This Book Is For Readers who are familiar with 3ds Max at a basic level and are looking at getting into character rigging and animation.

DKK 519.00
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Raspbian OS Programming with the Raspberry Pi - Agus Kurniawan - Bog - APress - Plusbog.dk

Visual Studio Extensibility Development - Rishabh Verma - Bog - APress - Plusbog.dk

Visual Studio Extensibility Development - Rishabh Verma - Bog - APress - Plusbog.dk

Learn the extensibility model of Visual Studio to enhance the Visual Studio integrated development environment (IDE). This book will cover every aspect, starting from developing an extension to publishing it and making it available to the end user. The book begins with an introduction to the basic concepts of Visual Studio including data structures and design patterns and moves forward with the fundamentals of the VS extensibility model. Here you will learn how to work on Roslyn - the .NET compiler platform - and load extensions in VS. Next, you will go through the extensibility model and see how various extensions, such as menus, commands, and tool windows, can be plugged into VS. Moving forward, you''ll cover developing VS extensions and configuring them, along with demonstrations on customizing extension by developing option pages. Further, you will learn to create custom code snippets and use a debugger visualizer. Next, you will go through creation of project and item templates including deployment of VS extensions using continuous integration (CI). Finally, you will learn tips and tricks for Visual Studio and its extensibility and integration with Azure DevOps. After reading Visual Studio Extensibility Development you will be able to develop, deploy, and customize extensions in Visual Studio IDE. What You Will Learn - - Discover the Visual Studio extensibility and automation model - - Code Visual Studio extensions from scratch - Customize extensions by developing a tools option page for them - Create project templates, item templates, and code snippets. - - Work with code generation using T4 templates - Code analysis and refactoring using Roslyn analyzers - Create and deploy a private extension gallery and upload the extensions - - Upload a VS extension using CI - Ship your extension to Visual Studio Marketplace Who This Book Is For Developers in Visual Studio IDE covering C#, Visual Basic (VB), JavaScript, and CSS.

DKK 604.00
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Learn Keras for Deep Neural Networks - Jojo Moolayil - Bog - APress - Plusbog.dk

Learn Keras for Deep Neural Networks - Jojo Moolayil - Bog - APress - Plusbog.dk

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras. The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. You''ll tackle one use case for regression and another for classification leveraging popular Kaggle datasets. Later, you will see an interesting and challenging part of deep learning: hyperparameter tuning; helping you further improve your models when building robust deep learning applications. Finally, you''ll further hone your skills in deep learning and cover areas of active development and research in deep learning. At the end of Learn Keras for Deep Neural Networks , you will have a thorough understanding of deep learning principles and have practical hands-on experience in developing enterprise-grade deep learning solutions in Keras. What You''ll Learn Master fast-paced practical deep learning concepts with math- and programming-friendly abstractions. Design, develop, train, validate, and deploy deep neural networks using the Keras framework Use best practices for debugging and validating deep learning models Deploy and integrate deep learning as a service into a larger software service or product Extend deep learning principles into other popular frameworks Who This Book Is For Software engineers and data engineers with basic programming skills in any language and who are keen on exploring deep learning for a career move or an enterprise project.

DKK 391.00
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Product Management Essentials - Aswin Pranam - Bog - APress - Plusbog.dk

Product Management Essentials - Aswin Pranam - Bog - APress - Plusbog.dk

Gain all of the techniques, teachings, tools, and methodologies required to be an effective first-time product manager. The overarching goal of this book is to help you understand the product manager role, give you concrete examples of what a product manager does, and build the foundational skill-set that will gear you towards a career in product management. To be an effective PM in the tech industry, you need to have a basic understanding of technology. In this book you''ll get your feet wet by exploring the skills a PM needs in their toolset and cover enough ground to make you feel comfortable in a technical discussion. A PM is not expected to have the same level of depth or knowledge as a software engineer, but knowing enough to continue the conversation can be a benefit in your career in product management. A complete product manager will have a 360-degree understanding of user experience and how to craft beautiful products that are easy-to-use, with the end user in mind. You''ll continue your journey with a walk through basic UX principles and even go through the process of building a simple set of UI frames for a mock app. Aside from the technical and design expertise, a PM needs to master the social aspects of the role. Acting as a bridge between engineering, marketing, and other teams can be difficult, and this book will dive into the business and soft skills of product management. After reading Product Management Essentials you will be one of a select few technically-capable PMs who can interface with management, stakeholders, customers, and the engineering team. What You Will Learn - Gain the traits of a successful PM from industry PMs, VCs, and other professionals - See the day-to-day responsibilities of a PM and how the role differs across tech companies - Absorb the technical knowledge necessary to interface with engineers and estimate timelines - Design basic mocks, high-fidelity wireframes, and fully polished user interfaces - Create core documents and handle business interactions Who This Book Is For Individuals who are eyeing a transition into a PM role or have just entered a PM role at a new organization for the first time. They currently hold positions as a software engineer, marketing manager, UX designer, or data analyst and want to move away from a feature-focused view to a high-level strategic view of the product vision.

DKK 519.00
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Applied Deep Learning with TensorFlow 2 - Umberto Michelucci - Bog - APress - Plusbog.dk

Applied Deep Learning with TensorFlow 2 - Umberto Michelucci - Bog - APress - Plusbog.dk

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally. You will: •Understand the fundamental concepts of how neural networks work •Learn the fundamental ideas behind autoencoders and generative adversarial networks •Be able to try all the examples with complete code examples that you can expand for your own projects •Have available a complete online companion book with examples and tutorials. This book is for: Readers with an intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming.

DKK 509.00
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Advanced Excel Formulas - Alan Murray - Bog - APress - Plusbog.dk

Advanced Excel Formulas - Alan Murray - Bog - APress - Plusbog.dk

Enhance and upgrade your Excel knowledge with this comprehensive guide to formulas in Excel. Over 150 of the most useful Excel functions are covered with numerous practical examples of their use. This book is fully updated and includes examples of the most recently released functions in 2022. It is written in a manner that you can read it cover-to-cover or pick it up and learn something new in just 5 minutes. The book begins with a primer on Excel formulas and functions. Starting from a basic level, but diving into intricate detail and building a solid understanding of the fundamentals. It may not always be sexy, but learning why , in addition to how, is important to truly understanding Excel formulas. Having strong fundamentals is the most advanced skill. The book covers all the most popular functions in Excel including VLOOKUP, SUMPRODUCT, COUNTIFS, MATCH, SORT and so much more. You will learn how to return multiple results with a single formula. Harness the power of the dynamic array engine and functions such as SEQUENCE, SORTBY, UNIQUE, XLOOKUP and FILTER to create top N Lists, models and reports that would seem impossible without array formulas. In the final chapter, we discover the amazing LAMBDA function in Excel. Create your own Excel functions to simplify future Excel formulas and share them with others. In this book, the formulas are not only written to return values to the grid, but also for use with other Excel features such as charts and Conditional Formatting, to take them to another level. Practice files are provided to follow all examples shown in the book. What Will You Learn - - Gain intimate knowledge of Excel formulas - - Understand efficient and practical use of Defined Names and Tables - Master the most popular functions of Excel - VLOOKUP, COUNTIFS, MATCH, SUMPRODUCT, and so much more - Learn to return multiple results from a single formula with the magical array formulas. - - Know the best lookup functions for dynamic spreadsheets - Know true power of classic Excel functions such as IF, SUM, and INDEX - Use new Excel functions including XLOOKUP, VSTACK, LET, and LAMBDA - Who Is This Book For Excel users who are familiar with formulas but want to improve their current skill level

DKK 468.00
1

Pro SQL Server Relational Database Design and Implementation - Louis Davidson - Bog - APress - Plusbog.dk

Pro SQL Server Relational Database Design and Implementation - Louis Davidson - Bog - APress - Plusbog.dk

Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "getit right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. What You Will Learn - Develop conceptual models of client data using interviews and client documentation - Implement designs that work on premises, in the cloud, or in a hybrid approach - Recognize and apply common database design patterns - Normalize data models to enhance integrity and scalability of your databases for the long-term use of valuable data - Translate conceptual models into high-performing SQL Server databases - Secure and protect data integrity as part of meeting regulatory requirements - Create effective indexing to speed query performance - Understand the concepts of concurrency Who This Book Is For Programmers and database administrators of all types who want to use SQL Server to store transactional data. The book is especially useful to those wanting to learn the latest database design features in SQL Server 2019 (features that include graph objects, in-memory OLTP, temporal data support, and more). Chapters on fundamental concepts, the language of database modeling, SQL implementation, and the normalization process lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2019. -

DKK 593.00
1

Geometric Patterns with Creative Coding - Selcuk Artut - Bog - APress - Plusbog.dk

Rapid Java Persistence and Microservices - Raj Malhotra - Bog - APress - Plusbog.dk

Getting Started with SQL and Databases - Mark Simon - Bog - APress - Plusbog.dk

Cyber Security on Azure - Matthew Jacobs - Bog - APress - Plusbog.dk

Learn Android Studio 3 with Kotlin - Ted Hagos - Bog - APress - Plusbog.dk