Persistence in PHP with Doctrine ORM. This book is designed for PHP developers and architects who want to modernize their skills through better understanding of Persistence and ORM. You'll learn through explanations and code samples, all tied to the full development of a web application

K?É!(C)vin Dunglas, Kevin Dunglas

Doctrine 2 has become the most popular modern persistence system for PHP. It can either be used as a standalone system or can be distributed with Symfony 2, and it also integrates very well with popular frameworks. It allows you to easily retrieve PHP object graphs, provides a powerful object-oriented query language called DQL, a database schema generator tool, and supports database migration. It is efficient, abstracts popular DBMS, and supports PHP 5.3 features.Doctrine is a must-have for modern PHP applications.Persistence in PHP with Doctrine ORM is a practical, hands-on guide that describes the full creation process of a web application powered by Doctrine. Core features of the ORM are explained in depth and illustrated by useful, explicit, and reusable code samples.Persistence in PHP with Doctrine ORM explains everything you need to know to get started with Doctrine in a clear and detailed manner.From installing the ORM through Composer to mastering advanced features such as native queries, this book is a full overview of the power of Doctrine. You will also learn a bunch of mapping annotations, create associations, and generate database schemas from PHP classes. You will also see how to write data fixtures, create custom entity repositories, and issue advanced DQL queries. Finally it will teach you to play with inheritance, write native queries, and use built-in lifecycle events. If you want to use a powerful persistence system for your PHP application, Persistence in PHP with Doctrine ORM is the book you.

ServiceNow: Building Powerful Workflows. Automating IT Service Management

Tim Woodruff, Martin Wood, Ashish Rudra Srivastava

ServiceNow is a SaaS application that provides workflow form-based applications. It is an ideal platform for creating enterprise-level applications, giving requesters and fulfillers improved visibility and access to a process. ServiceNow-based applications often replace email by providing a better way to get work done.This course will show you how to put important ServiceNow features to work in the real world. We will introduce key concepts and examples on managing and automating IT services, and help you build a solid foundation towards this new approach. You will then learn more about the power of tasks, events, and notifications. We’ll then focus on using web services and other mechanisms to integrate ServiceNow with other systems. Further on, you’ll learn how to secure applications and data, and understand how ServiceNow performs logging and error reporting. At the end of this course, you will acquire immediately applicable skills to rectify everyday problems encountered on the ServiceNow platform.The course provides you with highly practical content explaining ServiceNow from the following Packt books:1. Learning ServiceNow 2. ServiceNow Cookbook3. Mastering ServiceNow, Second Edition

Simplifying Application Development with Kotlin Multiplatform Mobile. Write robust native applications for iOS and Android efficiently

Róbert Nagy

Sharing code between platforms can help developers gain a competitive edge, and Kotlin Multiplatform Mobile (KMM) offers a sensible way to do it. KMM helps mobile teams share code between Android and iOS in a flexible way, leaving room for native development.The book begins by helping you to gain a clear understanding of the Kotlin Multiplatform approach, how it works, and how it is different from cross-platform technologies, such as React Native and Flutter, and code sharing options, such as C++. You'll then see how your team can use this software development kit (SDK) to build native applications more effectively by learning timeless concepts and working through practical examples. As you advance, you'll get to grips with the core concepts, understand why UI sharing fails, and get hands-on with developing a small KMM application. Finally, you'll discover expert tips and best practices, along with production- and adoption-related questions, that will help you take the next step in your project and career.By the end of this Kotlin book, you'll have gained a solid understanding of the capabilities of KMM and be able to share code between Android and iOS flexibly.

JBoss EAP6 High Availability. From the basic uses of JBoss EAP6 through to advanced clustering techniques, this book is the perfect way to learn how to achieve a system designed for high availability. All that's required is some basic knowledge of Linux/Unix

Weinan Li

High availability is a system design approach and associated service implementation which ensures that a prearranged level of operational performance will be met during a contractual measurement period. High availability is usually a system combined with many different components that achieve different goals. High availability cluster implementations attempt to build redundancy into a cluster to eliminate single points of failure.JBoss EAP6 High Availability is the perfect guide for learning how to apply the newest technologies provided by JBoss to build your high availability system. With a clear explanation of the design of JBoss EAP6 and its clustering components, this book will help you customize each component to fulfill your specific requirements.Throughout the course of this book, you will learn how to build high availability clusters using the projects provided by JBoss. The book begins with an introduction to the design of JBoss EAP6 and its uses. The next step will be to explore the two companion open source projects - mod_jk and mod_cluster. In this section, you will get to grips with the concept of load balancing with mod_jk and mod_cluster. You will also learn how to enable SSL in the clustering environment and how to configure session replication between EAP6 servers. Furthermore, the appendix section introduces you to some troubleshooting techniques for Wildfly.

Implementing Microsoft SharePoint 2019. An expert guide to SharePoint Server for architects, administrators, and project managers

Lewin Wanzer, Angel Wood

Microsoft’s latest addition to their product range, SharePoint Server 2019, is a new enterprise content management platform that brings on-premise collaboration features to life. It can be used as an isolated platform or in a hybrid connected configuration providing management and connectivity to Office 365. You can use the SharePoint framework to host sites, information, data, and applications in a robust CMS that centralizes collaborative content for enterprises.SharePoint 2019 enables new integrations and features that will allow you to work seamlessly with new and old Office products such as Microsoft Power Apps and other Microsoft Office applications.Implementing Microsoft SharePoint 2019 will help you understand the challenges, planning, migration steps, installation concepts, and configuration involved in providing this platform for your enterprise. The book will also show you what the platform brings to the table from an on-premise server perspective. If you’re new to SharePoint 2019, you’ll also be guided through how to get servers up and running so that you and your user community can become productive with this powerful new platform.By the end of this book, you’ll be well-versed in Microsoft SharePoint 2019 and have the knowledge you need to apply your skills in the real world.

KNIME Essentials. Perform accurate data analysis using the power of KNIME

Gábor Bakos

KNIME is an open source data analytics, reporting, and integration platform, which allows you to analyze a small or large amount of data without having to reach out to programming languages like R.KNIME Essentials teaches you all you need to know to start processing your first data sets using KNIME. It covers topics like installation, data processing, and data visualization including the KNIME reporting features. Data processing forms a fundamental part of KNIME, and KNIME Essentials ensures that you are fully comfortable with this aspect of KNIME before showing you how to visualize this data and generate reports.KNIME Essentials guides you through the process of the installation of KNIME through to the generation of reports based on data. The main parts between these two phases are the data processing and the visualization. The KNIME variants of data analysis concepts are introduced, and after the configuration and installation description comes the data processing which has many options to convert or extend it. Visualization makes it easier to get an overview for parts of the data, while reporting offers a way to summarize them in a nice way.

Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras

Ritesh Bhagwat, Mahla Abdolahnejad, Matthew Moocarme

Though designing neural networks is a sought-after skill, it is not easy to master. With Keras, you can apply complex machine learning algorithms with minimum code.Applied Deep Learning with Keras starts by taking you through the basics of machine learning and Python all the way to gaining an in-depth understanding of applying Keras to develop efficient deep learning solutions. To help you grasp the difference between machine and deep learning, the book guides you on how to build a logistic regression model, first with scikit-learn and then with Keras. You will delve into Keras and its many models by creating prediction models for various real-world scenarios, such as disease prediction and customer churning. You’ll gain knowledge on how to evaluate, optimize, and improve your models to achieve maximum information. Next, you’ll learn to evaluate your model by cross-validating it using Keras Wrapper and scikit-learn. Following this, you’ll proceed to understand how to apply L1, L2, and dropout regularization techniques to improve the accuracy of your model. To help maintain accuracy, you’ll get to grips with applying techniques including null accuracy, precision, and AUC-ROC score techniques for fine tuning your model.By the end of this book, you will have the skills you need to use Keras when building high-level deep neural networks.

In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data

Matthew Topol, Wes McKinney

Apache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily.In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow’s versatility and benefits as you walk through a variety of real-world use cases. You'll cover key tasks such as enhancing data science workflows with Arrow, using Arrow and Apache Parquet with Apache Spark and Jupyter for better performance and hassle-free data translation, as well as working with Perspective, an open source interactive graphical and tabular analysis tool for browsers. As you advance, you'll explore the different data interchange and storage formats and become well-versed with the relationships between Arrow, Parquet, Feather, Protobuf, Flatbuffers, JSON, and CSV. In addition to understanding the basic structure of the Arrow Flight and Flight SQL protocols, you'll learn about Dremio’s usage of Apache Arrow to enhance SQL analytics and discover how Arrow can be used in web-based browser apps. Finally, you'll get to grips with the upcoming features of Arrow to help you stay ahead of the curve.By the end of this book, you will have all the building blocks to create useful, efficient, and powerful analytical services and utilities with Apache Arrow.