Böcker utgivna av Packt Publishing Limited

The compilation of best skillset to harness Microsoft Dynamics NAV for Administrators, Consultants, and DevelopersAbout This Book* Take your skills to the next level with Dynamics NAV by implementing all the latest and advanced features* Get a comprehensive coverage of how the NAV system can be implemented and maintained to get the most out of it* Get powerful insights into how to integrate Dynamics NAV with third-party tolls and extend its functionalityWho This Book Is ForThis book is ideal for administrators, developers, and consultants who are looking to take their knowledge of Dynamics NAV to new heights. You're expected to have a basic knowledge of Dynamics NAV workflows and C/AL, C/SIDE development. What You Will Learn* Installing the NAV system in different environments* Implementing the system with the correct setup* Maintaining the system to get the best possible performance* Tuning up the Dynamics NAV to get better outcomes* The Version Control strategy for Dynamics NAV developers* Integrating other software and features to remove limitations* Understanding your own system better* Being able to solve customers' problems with "e;out-of-the-box"e; features* Reducing customization and additional development timeIn DetailThe book begins by giving you a brief introduction to setting up your NAV environment and shows you how to install and configure it according to your requirements. You will then dive deep into the latest design patterns, network architecture, and topologies. We will show you how you can integrate NAV with the Microsoft platform, and secure your deployment by managing roles and permissions. Moving on, we will explain how to monitor and manage server instances using the Administration tool. We'll discuss how you can take advantage of the expanded extensibility and connectivity capabilities for a tighter integration with the cloud as well as handheld devices. Then, we'll show you how you can make use of the PowerBI capabilities that have been built into Dynamics NAV. By the end of the book, you will be confident in developing and administering a Dynamics NAV implementation that will leverage all of the new features. Style and approachThis book takes a straightforward tutorial approach, providing you with step-by-step explanations and simple example-oriented walkthroughs. It is filled with use cases and situations that show you the different pitfalls you might encounter and how to get past them.

Over 80 practical and interesting recipes that explore the plethora of functionalities and opportunities available with Raspberry Pi ZeroAbout This Book* Deep dive into the components of the small yet powerful Raspberry Pi Zero* Get into grips with integrating various hardware, programming, and networking concepts with the so-called "e;cheapest computer"e;* Explore the functionalities of this $5 chip through practical recipesWho This Book Is ForThis book is for programmers and hobbyists who are eager to dive deep into the Raspberry Pi Zero. If you have basic or zero knowledge of the Raspberry Pi Zero, or if you looking for examples of ways to utilize the Raspberry Pi's GPIO interface, then this book is ideal for you. Basic knowledge of Python will be beneficial, and experience with circuitry and electronics will be needed for the later chapters in the book. What You Will Learn* Set up your Raspberry Pi Zero with the operating system, networking, and different interfaces* Get a hands-on introduction to Linux, Python, and shell scripts with the Raspberry Pi Zero* Become a master at driving GPIOs and controlling relays, motors, transistors, buzzers, audio, read switches, and interrupts with the Raspberry Pi Zero* Control GPIOs using the web interface and Node.js* Connect displays, LED matrixes, analog sensors, and digital sensors* Hack the Ethernet on the Raspberry Pi Zero* Make your Raspberry Pi Zero an IoT-based sensor node and remotely monitor your dataIn DetailThe Raspberry Pi Zero, one of the most inexpensive, fully-functional computers available, is a powerful and revolutionary product developed by the Raspberry Pi Foundation. The Raspberry Pi Zero opens up a new world for the makers out there. This book will give you expertise with the Raspberry Pi Zero, providing all the necessary recipes that will get you up and running. In this book, you will learn how to prepare your own circuits rather than buying the expensive add-ons available in the market. We start by showing you how to set up and manage the Pi Zero and then move on to configuring the hardware, running it with Linux, and programming it with Python scripts. Later, we integrate the Raspberry Pi Zero with sensors, motors, and other hardware. You will also get hands-on with interesting projects in media centers, IoT, and more. Style and approachThis recipe-based book will ensure you gain an intermediate-level knowledge of the Raspberry Pi Zero. This book contains comprehensive illustrations with specific schematics for each circuit diagram.

Leverage the power of Reactive Programming in PHPAbout This Book* Develop an interesting multiplayer browser game written in RxJS and re-implement it using RxPHP* Enhance existing reactive applications by building a CLI tool combining Symfony Console* Implement Gearman and Rabbit MQ for asynchronous communicationWho This Book Is ForThis book is aimed at people with a solid knowledge of PHP and programming languages in general. We also assume they have at least a little experience with other technologies such as JavaScript, Node.js, and others. What You Will Learn* How to work with the RxPHP library and see what it offers via many examples* Use the RxPHP library in combination with Symfony Console* The different approaches to using Symfony3's Event Dispatcher component* Test your reactive PHP code using PHPUnit* Analyze PHP source code and apply a custom set of rules by building a CLI toolIn DetailReactive Programming helps us write code that is concise, clear, and readable. Combining the power of reactive programming and PHP, one of the most widely used languages, will enable you to create web applications more pragmatically. PHP Reactive Programming will teach you the benefits of reactive programming via real-world examples with a hands-on approach. You will create multiple projects showing RxPHP in action alone and in combination with other libraries. The book starts with a brief introduction to reactive programming, clearly explaining the importance of building reactive applications. You will use the RxPHP library, built a reddit CLI using it, and also re-implement the Symfony3 Event Dispatcher with RxPHP. You will learn how to test your RxPHP code by writing unit tests. Moving on to more interesting aspects, you will implement a web socket backend by developing a browser game. You will learn to implement quite complex reactive systems while avoiding pitfalls such as circular dependencies by moving the RxJS logic from the frontend to the backend. The book will then focus on writing extendable RxPHP code by developing a code testing tool and also cover Using RxPHP on both the server and client side of the application. With a concluding chapter on reactive programming practices in other languages, this book will serve as a complete guide for you to start writing reactive applications in PHP. Style and approachThis book will teach readers how to build reactive applications in a step-by-step manner. It will also present several examples of reactive applications implemented with different frameworks.

Implement machine learning, time-series analysis, algorithmic trading and moreAbout This Book* Understand the basics of R and how they can be applied in various Quantitative Finance scenarios* Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. * Contain different methods to manage risk and explore trading using Machine Learning. Who This Book Is ForIf you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required. What You Will Learn* Get to know the basics of R and how to use it in the field of Quantitative Finance* Understand data processing and model building using R* Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis* Build and analyze quantitative finance models using real-world examples* How real-life examples should be used to develop strategies* Performance metrics to look into before deciding upon any model* Deep dive into the vast world of machine-learning based trading* Get to grips with algorithmic trading and different ways of optimizing it* Learn about controlling risk parameters of financial instrumentsIn DetailThe role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language. You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate. We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging. By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R. Style and approachThis book introduces you to the essentials of quantitative finance with the help of easy-to-understand, practical examples and use cases in R. Each chapter presents a specific financial concept in detail, backed with relevant theory and the implementation of a real-life example.

You?re pro Docker? You?ve read all about orchestration with Docker in books? Now learn how to troubleshoot Docker in practice. Gain all the tools to safely see Docker in action with this 2017 book.

Linux kernel is a complex, portable, modular, and widely used piece of software, running on around 80% of servers and embedded systems in more than half of devices throughout the World.

Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.

The Spring Framework is an application framework and inversion of the control container for the Java platform. Spring 5.0 is due to arrive with a myriad of new and exciting features. Written to the latest specifications of Spring, this book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud.

FreeSWITCH is an open source telephony platform designed to facilitate the creation of voice and chat-driven products, scaling from a soft-phone to a PBX and even up to an enterprise-class soft-switch. This book introduces FreeSWITCH to IT professionals who want to build their own telephony system.

The Salesforce market is booming right now; employers have recognized the value that Salesforce experts add to an organization and want to hire them over their counterparts. This book will equip you with the tools you need to build a successful career in Salesforce administration and, moreover, it will help you crack the Advanced Admin Certifica...

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analyticsAbout This Book* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark* Explore and exploit various possibilities with Apache Spark using real-world use cases in this book* Want to perform efficient data processing at real time? This book will be your one-stop solution. Who This Book Is ForThis guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful. The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science with no prior Spark experience and want to understand how Spark can help them on their analytics journey. What You Will Learn* Get an overview of big data analytics and its importance for organizations and data professionals* Delve into Spark to see how it is different from existing processing platforms* Understand the intricacies of various file formats, and how to process them with Apache Spark. * Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager. * Learn the concepts of Spark SQL, SchemaRDD, Caching and working with Hive and Parquet file formats* Understand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark. * Introduce yourself to the deployment and usage of SparkR. * Walk through the importance of Graph computation and the graph processing systems available in the market* Check the real world example of Spark by building a recommendation engine with Spark using ALS. * Use a Telco data set, to predict customer churn using Random Forests. In DetailSpark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key capabilities is crucial whether it is on a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos. The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases. Once we understand the individual components, we will take a couple of real life advanced analytics examples such as 'Building a Recommendation system', 'Predicting customer churn' and so on. The objective of these real life examples is to give the reader confidence of using Spark for real-world problems. Style and approachWith the help of practical examples and real-world use cases, this guide will take you from scratch to building efficient data applications using Apache Spark. You will learn all about this excellent data processing engine in a step-by-step manner, taking one aspect of it at a time. This highly practical guide will include how to work with data pipelines, dataframes, clustering, SparkSQL, parallel programming, and such insightful topics with the help of real-world use cases.

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science productsAbout This Book* Develop and apply advanced analytical techniques with Spark* Learn how to tell a compelling story with data science using Spark's ecosystem* Explore data at scale and work with cutting edge data science methodsWho This Book Is ForThis book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn* Learn the design patterns that integrate Spark into industrialized data science pipelines* See how commercial data scientists design scalable code and reusable code for data science services* Explore cutting edge data science methods so that you can study trends and causality* Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs* Find out how Spark can be used as a universal ingestion engine tool and as a web scraper* Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining* Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams* Study advanced Spark concepts, solution design patterns, and integration architectures* Demonstrate powerful data science pipelinesIn DetailData science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance -solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approachThis is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.

Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring. About This Book* Perform essential database tasks such as benchmarking the database and optimizing the server's memory usage* Learn ways to improve query performance and optimize the PostgreSQL server* Explore a wide range of high availability and replication mechanisms to build robust, highly available, scalable, and fault-tolerant PostgreSQL databasesWho This Book Is ForIf you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance. What You Will Learn* Build replication strategies for homogeneous and heterogeneous databases* Test and build a powerful machine with multiple bench marking techniques* Get to know a few SQL injection techniques* Find out how to manage the replication using multiple tools* Benchmark the database server using multiple strategies* Work with the query processing algorithms and their internal behaviors* Build a proper plan to upgrade or migrate to PostgreSQL from other databases* See the essential database load balancing techniques and the various partitioning approaches PostgreSQL provides* Learn memory optimization techniques and database server configurationsIn DetailPostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems. If you run a database, you want it to perform well and you want to be able to secure it. As the world's most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your database's performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, you'll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms. Style and approachThis comprehensive guide is packed with practical administration tasks. Each topic is explained using examples and a step-by-step approach.

This second edition of Industrial Cybersecurity is a practical guide to implementing a comprehensive and solid security program for the ICS environment. This book shows anyone new to industrial security or professionals looking to extend their industrial security posture how to effectively monitor their ICS environment.

OAuth 2.0 is a standard protocol for authorization and focuses on client development simplicity while providing specific authorization flows for web applications, desktop applications, mobile phones, and so on. This book also provides useful recipes for solving real-life problems using Spring Security and creating Android applications.

This book is your guide to exploring the various developer capabilities offered by SQL Server 2017. Model your data and the complex relationships within it, and integrate SQL Server with R and Python for efficient analytics. The book also covers the performance and troubleshooting aspects to help you develop efficient database applications.

This book is your one-stop guide to mastering Qlik Sense, catering for all your organizational BI needs. You'll see how you can seamlessly navigate through tons of organizational data from multiple sources and create smart visualizations that meet your unique business needs.

Chef is a configuration management tool that turns IT infrastructure into code. Chef provides tools to manage systems at scale. This learning path takes you on a comprehensive tour of Chef's functionality, ranging from its core features to advanced development.