Beginning Database-Driven Application Development in Java EE: Using GlassFish focuses on the open source GlassFish persistence engine. This book shows Java programmers how to develop applications utilizing relational database technologies with examples using Oracle and MySQL and the GlassFish application development framework and deployment platform all based on Java EE.The book explains in detail how you can organize your Java EE solution into a multilayer architecture, placing most emphasis on how to implement the persistence and database tiers of an application. Through many examples, this book shows how you can efficiently use the Java Persistence features available in the Java EE platform. Find out how you can greatly simplify the task of building the persistence layer of your Java EE application by moving some application logic into the underlying database, utilizing database views, stored programs, and triggers. The book also explains how to deploy Java EE applications to GlassFish, a free, open source Java EE 5compliant application server. What you'll learn Use the GlassFish persistence layer in conjunction with GlassFish Java EE application server. Organize the database and persistence tiers of a Java EE application and utilize MySQL or Oracle database applications when building the database tier. Work with EJB 3 JPA object/relational mapping features, plug JPA into Java EE transactional environment, and implement persistence with the EJB 3 EntityManager. Integrate and use JSF (webtier) using GlassFish JSF Framework (Scales) and other JSF tools/frameworks. Deploy applications to GlassFish Application Server. Who this book is for

The book is appropriate for Java developers who want to learn how to develop Java EE applications interacting with a relational database via the Java Persistence API (JPA) and then deploy them to the open source GlassFish Application Server.

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how to write Python code to obtain, transform, and analyse data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.

Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customise your own statistical models to improve text processing.

This book is a quick guide to getting started with Oracle Business Intelligence SE platform that will answer common business questions and help you make quick business decisions. The examples in this book will help you prepare the database for analysis and create business reports in no time. If you are an business analyst, a report builder, a DBA, or an application developer who wants to learn how to use the Oracle Business Intelligence platform for analysis and reporting, this is the perfect book for you. Previous knowledge of Oracle Business Intelligence tools is not required, but you should have a competent grasp of using an Oracle Database.

This practical book for PHP/Oracle developers is built around well explained, easy-to-follow example code to build robust, efficient, secure solutions covering popular current topics on using PHP with Oracle. Assuming no special skill level, experienced author Yuli Vasiliev shows how to install and configure PHP and Oracle; connect PHP to Oracle; move application business logic to Oracle; build transactional applications; use security features; improve performance with caching; employ XML features; implement SOAP web services; build Ajax-driven PHP/Oracle solutions. Building and deploying PHP applications on Oracle Database combines the power and robustness of Oracle with the easy, rapid development of open-source PHP to achieve high-performance, scalable, reliable data-driven web applications with minimal effort. Unlike some other databases, Oracle allows building the key business logic of PHP applications inside the database, moving data processing from web server to database server.