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The Business Process Execution Language (BPEL) has become the de-facto standard for orchestrating web services. BPEL and web services are both clamped into Service-oriented Architecture (SOA). Development of efficient SOA composites too often requires usage of other technologies or languages, like Java. This Cookbook explains through the use of examples how to efficiently integrate BPEL with custom Java functionality.If you need to use BPEL programming to develop web services in SOA development, this book is for you.BPEL and Java Cookbook will show you how to efficiently integrate custom Java functionality into BPEL processes. Based on practical examples, this book shows you the solutions to a number of issues developers come across when designing SOA composite applications. The integration between the two technologies is shown two-fold; the book focuses on the ways that Java utilizes the BPEL and vice-versa.With this book, you will take a journey through a number of recipes that solve particular problems with developing SOA composite applications. Each chapter works on a different set of recipes in a specific area. The recipes cover the whole lifecycle of developing SOA composites: from specification, through design, testing and deployment.BPEL and Java Cookbook starts off with recipes that cover initiation of BPEL from Java and vice-versa. It then moves on to logging and tracing facilities, validation and transformation of BPEL servers, embedding of third-party Java libraries into BPEL. It also covers manipulation with variables in BPEL different techniques of Java code wrapping for web service usage and utilization of XML fa?ßades.After reading BPEL and Java Cookbook you will be able to circumvent many of the issues that developers experience during SOA composite application development.
Discover the incredible world of tiny Machine Learning (tinyML) and create smart projects using real-world data sensors with the Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano.TinyML Cookbook, Second Edition, will show you how to build unique end-to-end ML applications using temperature, humidity, vision, audio, and accelerometer sensors in different scenarios. These projects will equip you with the knowledge and skills to bring intelligence to microcontrollers. You'll train custom models from weather prediction to real-time speech recognition using TensorFlow and Edge Impulse.Expert tips will help you squeeze ML models into tight memory budgets and accelerate performance using CMSIS-DSP.This improved edition includes new recipes featuring an LSTM neural network to recognize music genres and the Faster-Objects-More-Objects (FOMO) algorithm for detecting objects in a scene. Furthermore, you’ll work on scikit-learn model deployment on microcontrollers, implement on-device training, and deploy a model using microTVM, including on a microNPU. This beginner-friendly and comprehensive book will help you stay up to date with the latest developments in the tinyML community and give you the knowledge to build unique projects with microcontrollers!
Proxmox is an open source server virtualization solution that has enterprise-class features to manage virtual machines, to be used for storage, and to virtualize both Linux and Windows application workloads.You begin with refresher on the advanced installation features and the Proxmox GUI to familiarize yourself with the Proxmox VE hypervisor. You then move on to explore Proxmox under the hood, focusing on the storage systems used with Proxmox. Moving on, you will learn to manage KVM Virtual Machines and Linux Containers and see how networking is handled in Proxmox. You will then learn how to protect a cluster or a VM with a firewall and explore the new HA features introduced in Proxmox VE 4 along with the brand new HA simulator. Next, you will dive deeper into the backup/restore strategy followed by learning how to properly update and upgrade a Proxmox node. Later, you will learn how to monitor a Proxmox cluster and all of its components using Zabbix. By the end of the book, you will become an expert at making Proxmox environments work in production environments with minimum downtime.
Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and handling data with Python for better outcomes.Fully updated to the latest version of Python and all relevant tools, this book will teach you how to manipulate and clean data to get it into a useful form. he current edition focuses on advanced techniques like machine learning and AI-specific approaches and tools for data cleaning along with the conventional ones. The book also delves into tips and techniques to process and clean data for ML, AI, and NLP models. You will learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Next, you’ll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate visualizations for exploratory data analysis (EDA) to identify unexpected values. Finally, you’ll build functions and classes that you can reuse without modification when you have new data.By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems within it.
Satya SK Jayanty, Satya Shyam K Jayanty
SQL Server 2012 includes BI-specific features such as cube analytics, reporting-related features, multidimensional BI semantic models, and many more. This is a new addition that is of great use to Business Analysts, who can now build BI semantic models using the relational tables from the database engine rather than the dimensions from analysis services.Instant Microsoft SQL Server Analysis Services 2012 Cube Security is a practical, hands-on guide that provides clear, step-by-step recipes for getting started with cube security. As a Database Administrator and Data Architect, data security is of prime concern, and this book highlights the key concepts of securing cubes. By the end of this book, you will understand the SQL Server security model and how to effectively implement the same on the data platform.Security is paramount within a data platform, and thankfully, the issues surrounding data access can be fixed in the initial stages of its design. This allows you to avoid any breach of data access layers. The recipes in this book consist of the required ingredients to implement and administer OLAP & BI security management for your cubes. With this book, you will master the key aspects of implementing and managing security essentials and securing data layers.The recipes in this book incorporate best practice implementation, which include step-by-step instructions for creating models that implement security based on the currently logged on Windows user name or based on custom data passed to analysis services. The new BI platform features will help end users, business users, and technology users by providing a robust environment for IT, planning, budgeting, forecasting with scorecards, and reporting capabilities for the business users. These analytics will help end users to create a comprehensive management application to view the data with ease.
Associations and Correlations. Unearth the powerful insights buried in your data
Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data. This book begins by showing you how to classify your data into the four distinct types that you are likely to have in your dataset. Then, with easy-to-understand examples, you’ll learn when to use the various univariate and multivariate statistical tests. You’ll also discover what to do when your univariate and multivariate results do not match. As the book progresses, it describes why univariate and multivariate techniques should be used as a tag team, and also introduces you to the techniques of visualizing the story of your data. By the end of the book, you’ll know exactly how to select the most appropriate univariate and multivariate tests, and be able to use a single strategic framework to discover the true story of your data.
Ted Jordan, Ric Daza, Hinne Hettema
The (ISC)2 CISSP exam evaluates the competencies required to secure organizations, corporations, military sites, and government entities. The comprehensive CISSP certification guide offers up-to-date coverage of the latest exam syllabus, ensuring you can approach the exam with confidence, fully equipped to succeed.Complete with interactive flashcards, invaluable exam tips, and self-assessment questions, this CISSP book helps you build and test your knowledge of all eight CISSP domains. Detailed answers and explanations for all questions will enable you to gauge your current skill level and strengthen weak areas.This guide systematically takes you through all the information you need to not only pass the CISSP exam, but also excel in your role as a security professional. Starting with the big picture of what it takes to secure the organization through asset and risk management, it delves into the specifics of securing networks and identities. Later chapters address critical aspects of vendor security, physical security, and software security.By the end of this book, you'll have mastered everything you need to pass the latest CISSP certification exam and have this valuable desktop reference tool for ongoing security needs.