Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML Notebooks, OML4R, and OML4Py. The book focuses on Oracle Machine Learning as part of the Oracle Autonomous Database collaborative environment. Also covered are advanced topics such as delivery and automation pipelines. Throughout the book you will find practical details and hand-on examples showing you how to implement machine learning and automate deployment of machine learning. Discussion around the examples helps you gain a conceptual understanding of machine learning. Important concepts discussed include the methods involved, the algorithms to choose from, and mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much to like in this book as it helps you step up and use your current knowledge of Oracle Database to transition into providing machine learning solutions. What You Will Learn Use the Oracle Machine Learning (OML) Notebooks for data visualization and machine learning model building and evaluation Understand Oracle offerings for machine learning Develop machine learning with Oracle database using the built-in machine learning packages Develop and deploy machine learning models using OML4SQL and OML4R Leverage the Oracle Autonomous Database and its collaborative environment for Oracle Machine Learning Develop and deploy machine learning projects in Oracle Autonomous Database Build an automated pipeline that can detect and handle changes in data/model performance Who This Book Is For Database developers and administrators who want to learn about machine learning, developers who want to build models and applications using Oracle Database's built-in machine learning feature set, and administrators tasked with supporting applications on Oracle Database that make use of the Oracle Machine Learning feature set

This book shows Oracle Application Express (APEX) developers how to take advantage of Oracle Cloud Infrastructure (OCI) features for APEX that might otherwise go missed. You will learn how to use OCI features for data science tasks such as detecting anomalies in your data, training machine learning models, and much more. The book provides an in-depth look at Oracle Cloud features and demonstrates how they can be easily integrated into an APEX application. While the book focuses on developing for APEX, the approaches covered in the book are also applicable to any other modern web developer framework for applications running on the OCI platform. For many organizations, the database is the heart of operations. Those who opt to invest in the Oracle Database can learn from this book how to maximize their return on investment. The book begins with an introduction to OCI and help on setting up your OCI developer environment. From there you'll begin with security by learning to provide single sign-on via the Oracle Identity Cloud Service. Subsequent chapters take you through cloud-focused features such as Object Storage, Oracle Function, Oracle Machine Learning REST Services, and Oracle Cloud Anomaly Detection. You'll even learn to troubleshoot email delivery services. What You Will Learn Be aware of Oracle Cloud Infrastructure features for developers Integrate with cloud native services such as cloud-based object storage and serverless functions Enhance APEX applications with machine learning features Implement Natural Language Processing and Anomaly Detection Algorithms Troubleshoot email delivery services when sending emails using the APEX_MAIL package Design and implement an APEX environment that is secure Who This Book Is For APEX developers who are looking to extend their application's capabilities using features and resources available through the Oracle Cloud, and cloud solutions architects who support development teams and help design and implement architectures that benefit business operations

Develop, debug, and deploy secure data-centric programs using SQL and PL/SQL This comprehensive Oracle Press guide shows how to exploit the little known but extremely useful SQL and PL/SQL features to develop powerful applications-and how to effectively use both the languages together. Readers will learn to compare and contrast the standards and determine which-or a blend of the two-is optimal under any set of circumstances. Real World SQL and PL/SQL: Advice from the Experts focuses on practical, day-to-day operations and tasks taken up in complex projects. The authors provide best practices, real-world examples, and insider tips that clearly demonstrate, step-by-step, how to best implement code for a wide variety of applications that need to be both performant and secure. The book fully explains advanced SQL techniques, essential advanced PL/SQL development and tools, data modeling, advanced analytics using both Oracle-supplied tools and embedded R, and secure coding. Offers unique, highly-integrated coverage of both SQL and PL/SQL All code in the book is available for download and ready to implement Written by a team of Oracle ACE Directors some of whom are members of the Oak Table Network

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Design Databases with Oracle SQL Developer Data ModelerIn this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler-the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2. Oracle SQL Developer Data Modeler for Database Design Mastery covers requirement analysis, conceptual, logical, and physical design, data warehousing, reporting, and more. Create and deploy high-performance enterprise databases on any platform using the expert tips and best practices in this Oracle Press book. Configure Oracle SQL Developer Data Modeler Perform requirement analysis Translate requirements into a formal conceptual data model and process models Transform the conceptual (logical) model into a relational model Manage physical database design Generate data definition language (DDL) scripts to create database objects Design a data warehouse database Use subversion for version control and to enable a multiuser environment Document an existing database Use the reporting tools in Oracle SQL Developer Data Modeler Compare designs and the database