The Business Analyst's Guide to Oracle Hyperion Interactive Reporting 11. Quickly master this extremely robust and powerful Hyperion business intelligence tool

Edward J. Cody, Edward Cody

Oracle Hyperion Interactive Reporting is one of the many products in the Oracle Enterprise Performance Management software suite, an industry-leading business intelligence software package. The primary focus of the Interactive Reporting product is to provide strong relational querying and data analysis capabilities. It also provides the capability to disseminate information throughout an enterprise. There is a very steep learning curve for most users of this tool.This book examines the power of the Interactive Reporting Web Client software, focusing on the key features of each section of the product. The author's experience in developing and supporting Interactive Reporting users is very well documented in this book. The goal is to educate you on every useful feature of the product, enabling you to gather information from various sources and process it to produce meaningful results that help you to spot problems and analyze trends necessary for business decisions.The book starts with a quick introduction to the product interface and the EPM Workspace, with explanation of importing and provisioning. It then takes you through each section from building a query and data model to building graphical displays of the data in a logical sequence. The report sections and interactive dashboards are also discussed at length. The book also covers advanced features of the product and provides you with the information necessary to build the foundation for creating complex queries and computations using the product.

Learn Blender Simulations the Right Way. Create attractive and realistic animations with Mantaflow, rigid and soft bodies, and Dynamic Paint

Stephen Pearson

Blender is a free, open source 3D software that allows you to create stunning visual graphics, animation, VFX, and much more!This book is an in-depth guide to creating realistic and eye-catching simulations, understanding the various settings and options around their creation, and learning how to troubleshoot solutions to your own Blender problems. In addition, this book can also be used to simulate the behavior of certain physics effects, such as fire, fluid, soft bodies, and rigid bodies.You’ll learn how to use Mantaflow, an open source framework within Blender software, to create fire, smoke, and fluid simulations. As you progress, you’ll understand how to easily produce satisfying rigid and soft body simulations, along with cloth simulations. Finally, you’ll use Dynamic Paint, Blender’s modifier, and the physics system to create eye-catching animations.By the end of this Blender book, you’ll have created a number of animations on your own, such as a campfire, waterfalls, and explosions. You’ll also have gained a deeper understanding of all the simulation options in Blender, which you can use to create portfolio-ready animations.

Learn Computer Forensics. Your one-stop guide to searching, analyzing, acquiring, and securing digital evidence - Second Edition

William Oettinger

Computer Forensics, being a broad topic, involves a variety of skills which will involve seizing electronic evidence, acquiring data from electronic evidence, data analysis, and finally developing a forensic report.This book will help you to build up the skills you need to work in a highly technical environment. This book's ideal goal is to get you up and running with forensics tools and techniques to successfully investigate crime and corporate misconduct. You will discover ways to collect personal information about an individual from online sources. You will also learn how criminal investigations are performed online while preserving data such as e-mails, images, and videos that may be important to a case. You will further explore networking and understand Network Topologies, IP Addressing, and Network Devices. Finally, you will how to write a proper forensic report, the most exciting portion of the forensic exam process.By the end of this book, you will have developed a clear understanding of how to acquire, analyze, and present digital evidence, like a proficient computer forensics investigator.

Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

Ankur Ankan

Mastering Veeam Backup & Replication. Design and deploy a secure and resilient Veeam 12 platform using best practices - Third Edition

Chris Childerhose

Veeam is one of the leading modern data protection solutions, making it a necessary skill for anyone responsible for backing up virtual environments. This new edition of Mastering Veeam Backup & Replication is revised and updated to cover Veeam version 12.This edition covers some new features added to the application, such as VeeaMover, Per Machine Backup chains, and MFA on the console. The book guides you through implementing modern data protection solutions for your cloud and virtual infrastructure with Veeam while helping you master advanced concepts such as Continuous Data Protection (CDP), extended object storage support, VeeaMover, and security settings. You’ll dive deep into other new features as well, such as Direct to Object storage, Object to Tape and learn about CDP from a service provider perspective with Veeam Cloud Connect (VCC).By the end of this Veeam book, you'll be able to successfully implement Veeam Backup & Replication to secure your environment and enable disaster recovery.

Scaling Big Data with Hadoop and Solr. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

Hrishikesh Vijay Karambelkar

Mastering Git. Attain expert level proficiency with Git for enhanced productivity and efficient collaboration

Jakub Narębski, Jakub S Narebski

Git is one of the most popular types of Source Code Management (SCM) and Distributed Version Control System (DVCS). Despite the powerful and versatile nature of the tool enveloping strong support for nonlinear development and the ability to handle large projects efficiently, it is a complex tool and often regarded as “user-unfriendly”. Getting to know the ideas and concepts behind the architecture of Git will help you make full use of its power and understand its behavior. Learning the best practices and recommended workflows should help you to avoid problems and ensure trouble-free development.The book scope is meticulously designed to help you gain deeper insights into Git's architecture, its underlying concepts, behavior, and best practices. Mastering Git starts with a quick implementation example of using Git for a collaborative development of a sample project to establish the foundation knowledge of Git operational tasks and concepts. Furthermore, as you progress through the book, the tutorials provide detailed descriptions of various areas of usage: from archaeology, through managing your own work, to working with other developers. This book also helps augment your understanding to examine and explore project history, create and manage your contributions, set up repositories and branches for collaboration in centralized and distributed version control, integrate work from other developers, customize and extend Git, and recover from repository errors. By exploring advanced Git practices, you will attain a deeper understanding of Git’s behavior, allowing you to customize and extend existing recipes and write your own.

Deep Learning and XAI Techniques for Anomaly Detection. Integrate the theory and practice of deep anomaly explainability

Cher Simon, Jeff Barr

Despite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance.Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that’ll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and deep learning techniques described in this book, you’ll discover how to successfully extract business-critical insights while ensuring fair and ethical analysis.This practical guide will provide you with tools and best practices to achieve transparency and interpretability with deep learning models, ultimately establishing trust in your anomaly detection applications. Throughout the chapters, you’ll get equipped with XAI and anomaly detection knowledge that’ll enable you to embark on a series of real-world projects. Whether you are building computer vision, natural language processing, or time series models, you’ll learn how to quantify and assess their explainability.By the end of this deep learning book, you’ll be able to build a variety of deep learning XAI models and perform validation to assess their explainability.