Programowanie
Enterprise JavaBeans 3.0. Wydanie V
Bill Burke, Richard Monson-Haefel
Wykorzystaj zaawansowane technologie tworzenia aplikacji korporacyjnych Poznaj architekturę EJB 3.0 Stwórz własne komponenty Zaprojektuj własne usługi sieciowe na podstawie EJB 3.0 Enterprise JavaBeans to technologia przeznaczona do tworzenia złożonych programów, oparta na języku Java i platformie Java Enterprise Edition. Stosowana jest przy tworzeniu rozbudowanych aplikacji korporacyjnych i pozwala programistom na generowanie mechanizmów automatycznego zarządzania usługami kluczowymi dla systemu. Wersje EJB stosowane do tej pory wymagały od twórców aplikacji implementowania mechanizmów, które nie miały wiele wspólnego z właściwą logiką biznesową tworzonego oprogramowania, co znacznie wydłużało i komplikowało proces produkcji systemu. Najnowsza wersja, oznaczona numerem 3.0, jest pozbawiona tych wad. Dzięki książce "Enterprise JavaBeans 3.0. Wydanie V" poznasz najnowsze wcielenie technologii EJB. Opisano tu wszystkie rozwiązania, które umożliwiły uproszczenie standardu Enterprise JavaBeans 3.0 względem jego poprzednich wersji. Czytając tę książkę, poznasz nowy interfejs Java Persistence API, który zastąpił stosowane dotychczas komponenty encyjne zwykłymi obiektami Javy, oraz nauczysz się sposobów eliminowania konieczności implementowania interfejsów EnterpriseBean. Dowiesz się, jak stosować adnotacje w miejsce elementów języka XML umieszczanych w deskryptorach wdrożenia. Znajdziesz tu również praktyczne przykłady, dzięki którym błyskawicznie opanujesz nową wersję EJB. Architektura EJB 3.0 Relacje pomiędzy komponentami Zapytania i język EJB QL Komponenty sesyjne Obsługa transakcji Implementowanie usług WWW Instalacja i konfiguracja serwera JBoss Nie trać więcej czasu! Zastosuj technologię, która ułatwi Ci wytwarzanie systemów korporacyjnych.
Sathya AG, Kunal Das
In the past decade, cloud technology has evolved from a mere deployment platform into a driving force of innovation. However, navigating the complexities of cloud adoption, especially with a hybrid approach, presents significant challenges. Solving Hybrid Cloud Challenges for Enterprises is your trusted guide to overcome the problems encountered in this process. Written by a principal architect at Google with 15+ years of experience, this vendor agnostic book begins by exploring the case studies of enterprises stepping into the world of the cloud, highlighting the pivotal role of leadership vision and mindset in driving digital transformation. You’ll explore the basics of cloud technology, its impact on various industries, and the challenges of cloud adoption. As you dive deeper, you’ll find real-world use cases of enterprises that have digitally disrupted their respective industries by innovating in the cloud. From assessing the cloud maturity of an organization and designing a cloud strategy to exploring the various facets of cloud transformation, this book will guide you at every step of the way. Finally, you’ll learn how to lead your organization’s cloud transformation journey with emerging technologies. By the end, you'll be well-equipped to design and architect a scalable, cloud-first IT organization.
Ricardo Peres
Entity Framework is a highly recommended Object Relation Mapping tool used to build complex systems. In order to survive in this growing market, the knowledge of a framework that helps provide easy access to databases, that is, Entity Framework has become a necessity. This book will provide .NET developers with this knowledge and guide them through working efficiently with data using Entity Framework Core. You will start off by learning how to efficiently use Entity Framework in practical situations. You will gain a deep understanding of mapping properties and find out how to handle validation in Entity Framework. The book will then explain how to work with transactions and stored procedures along with improving Entity Framework using query libraries. Moving on, you will learn to improve complex query scenarios and implement transaction and concurrency control. You will then be taught to improve and develop Entity Framework in complex business scenarios. With the concluding chapter on performance and scalability, this book will get you ready to use Entity Framework proficiently.
ESP8266 Robotics Projects. DIY Wi-Fi controlled robots
Pradeeka Seneviratne
The ESP8266 Wi-Fi module is a self-contained SOC with an integrated TCP/IP protocol stack and can give any microcontroller access to your Wi-Fi network. It has a powerful processing and storage capability and also supports application hosting and Wi-Fi networking. This book is all about robotics projects based on the original ESP8266 microcontroller board and some variants of ESP8266 boards. It starts by showing all the necessary things that you need to build your development environment with basic hardware and software components. The book uses the original ESP8266 board and some variants such as the Adafruit HUZZAH ESP8266 and the Adafruit Feather HUZZAH ESP8266 . You will learn how to use different type of chassis kits, motors, motor drivers, power supplies, distribution boards, sensors, and actuators to build robotics projects that can be controlled via Wi-Fi. In addition, you will learn how to use line sensors, the ArduiCam, Wii Remote, wheel encoders, and the Gripper kit to build more specialized robots.By the end of this book, you will have built a Wi-Fi control robot using ESP8266.
Leonard S. Woody III
Quantum computing is an exciting subject that offers hope to solve the world’s most complex problems at a quicker pace. It is being used quite widely in different spheres of technology, including cybersecurity, finance, and many more, but its concepts, such as superposition, are often misunderstood because engineers may not know the math to understand them. This book will teach the requisite math concepts in an intuitive way and connect them to principles in quantum computing.Starting with the most basic of concepts, 2D vectors that are just line segments in space, you'll move on to tackle matrix multiplication using an instinctive method. Linearity is the major theme throughout the book and since quantum mechanics is a linear theory, you'll see how they go hand in hand. As you advance, you'll understand intrinsically what a vector is and how to transform vectors with matrices and operators. You'll also see how complex numbers make their voices heard and understand the probability behind it all.It’s all here, in writing you can understand. This is not a stuffy math book with definitions, axioms, theorems, and so on. This book meets you where you’re at and guides you to where you need to be for quantum computing. Already know some of this stuff? No problem! The book is componentized, so you can learn just the parts you want. And with tons of exercises and their answers, you'll get all the practice you need.
Rongpeng Li
Statistics remain the backbone of modern analysis tasks, helping you to interpret the results produced by data science pipelines. This book is a detailed guide covering the math and various statistical methods required for undertaking data science tasks.The book starts by showing you how to preprocess data and inspect distributions and correlations from a statistical perspective. You’ll then get to grips with the fundamentals of statistical analysis and apply its concepts to real-world datasets. As you advance, you’ll find out how statistical concepts emerge from different stages of data science pipelines, understand the summary of datasets in the language of statistics, and use it to build a solid foundation for robust data products such as explanatory models and predictive models. Once you’ve uncovered the working mechanism of data science algorithms, you’ll cover essential concepts for efficient data collection, cleaning, mining, visualization, and analysis. Finally, you’ll implement statistical methods in key machine learning tasks such as classification, regression, tree-based methods, and ensemble learning.By the end of this Essential Statistics for Non-STEM Data Analysts book, you’ll have learned how to build and present a self-contained, statistics-backed data product to meet your business goals.
Ethereum dla zaawansowanych. Tworzenie inteligentnych kontraktów i aplikacji zdecentralizowanych
Andreas M. Antonopoulos, Gavin Wood
Ethereum to platforma służąca do obsługi kryptowalut. Została zaprojektowana z zachowaniem wysokich standardów bezpieczeństwa i transparentności. Umożliwia uruchamianie zdecentralizowanych aplikacji (DApp) i inteligentnych kontraktów, które nie mają scentralizowanej kontroli ani pojedynczego punktu podatności na awarie i są zintegrowane z siecią obsługi płatności oraz operują na otwartym łańcuchu bloków. Ethereum cieszy się dużym zainteresowaniem takich organizacji jak IBM, Microsoft, NASDAQ, które coraz bardziej angażują się w korzystanie z tej platformy. Ta książka jest praktycznym poradnikiem i encyklopedycznym źródłem wiedzy o Ethereum przeznaczonym dla programistów, którzy chcą przyswoić praktyczną wiedzę o łańcuchach bloków oraz tworzeniu inteligentnych kontraktów i zdecentralizowanych aplikacji - DApp. Znalazły się tu zarówno podstawowe informacje, jak i szereg zaawansowanych zagadnień związanych z Ethereum. Opisano, w jaki sposób tworzy się w nim transakcje, przedstawiono kwestie związane z kluczem publicznym, skrótami i podpisami cyfrowymi. Poszczególne zagadnienia, a także najlepsze praktyki, wzorce projektowe i antywzorce z obszaru bezpieczeństwa uzupełniono starannie opracowanymi przykładami kodu. W tej książce między innymi: uruchamianie klienta Ethereum korzystanie z portfeli cyfrowych interakcje z klientami Ethereum za pomocą wywołań RPC tokeny reprezentujące aktywa, udziały czy głosy budowa zdecentralizowanych aplikacji z użyciem komponentów w modelu P2P Ethereum: oto nowy wymiar innowacji w programowaniu!
Christian Cote, Matija Lah, Madina Saitakhmetova
ETL is one of the most common and tedious procedures for moving and processing data from one database to another. With the help of this book, you will be able to speed up the process by designing effective ETL solutions using the Azure services available for handling and transforming any data to suit your requirements.With this cookbook, you’ll become well versed in all the features of SQL Server Integration Services (SSIS) to perform data migration and ETL tasks that integrate with Azure. You’ll learn how to transform data in Azure and understand how legacy systems perform ETL on-premises using SSIS. Later chapters will get you up to speed with connecting and retrieving data from SQL Server 2019 Big Data Clusters, and even show you how to extend and customize the SSIS toolbox using custom-developed tasks and transforms. This ETL book also contains practical recipes for moving and transforming data with Azure services, such as Data Factory and Azure Databricks, and lets you explore various options for migrating SSIS packages to Azure. Toward the end, you’ll find out how to profile data in the cloud and automate service creation with Business Intelligence Markup Language (BIML).By the end of this book, you’ll have developed the skills you need to create and automate ETL solutions on-premises as well as in Azure.
Christian Cote, Matija Lah, Madina Saitakhmetova
ETL is one of the most common and tedious procedures for moving and processing data from one database to another. With the help of this book, you will be able to speed up the process by designing effective ETL solutions using the Azure services available for handling and transforming any data to suit your requirements.With this cookbook, you’ll become well versed in all the features of SQL Server Integration Services (SSIS) to perform data migration and ETL tasks that integrate with Azure. You’ll learn how to transform data in Azure and understand how legacy systems perform ETL on-premises using SSIS. Later chapters will get you up to speed with connecting and retrieving data from SQL Server 2019 Big Data Clusters, and even show you how to extend and customize the SSIS toolbox using custom-developed tasks and transforms. This ETL book also contains practical recipes for moving and transforming data with Azure services, such as Data Factory and Azure Databricks, and lets you explore various options for migrating SSIS packages to Azure. Toward the end, you’ll find out how to profile data in the cloud and automate service creation with Business Intelligence Markup Language (BIML).By the end of this book, you’ll have developed the skills you need to create and automate ETL solutions on-premises as well as in Azure.