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.

Multi-Cloud Strategy for Cloud Architects. Learn how to adopt and manage public clouds by leveraging BaseOps, FinOps, and DevSecOps - Second Edition

Jeroen Mulder

Are you ready to unlock the full potential of your enterprise with the transformative power of multi-cloud adoption? As a cloud architect, you understand the challenges of navigating the vast array of cloud services and moving data and applications to public clouds. But with 'Multi-Cloud Strategy for Cloud Architects, Second Edition', you'll gain the confidence to tackle these complexities head-on.This edition delves into the latest concepts of BaseOps, FinOps, and DevSecOps, including the use of the DevSecOps Maturity Model. You'll learn how to optimize costs and maximize security using the major public clouds - Azure, AWS, and Google Cloud. Examples of solutions by the increasingly popular Oracle Cloud Infrastructure (OCI) and Alibaba Cloud have been added in this edition. Plus, you will discover cutting-edge ideas like AIOps and GreenOps.With practical use cases, including IoT, data mining, Web3, and financial management, this book empowers you with the skills needed to develop, release, and manage products and services in a multi-cloud environment.By the end of this book, you'll have mastered the intricacies of multi-cloud operations, financial management, and security. Don't miss your chance to revolutionize your enterprise with multi-cloud adoption.

Kali Linux - Assuring Security by Penetration Testing. With Kali Linux you can test the vulnerabilities of your network and then take steps to secure it. This engaging tutorial is a comprehensive guide to this penetration testing platform, specially written for IT security professionals

Lee Allen, Shakeel Ali, Tedi Heriyanto

Data Lake Development with Big Data. Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies

Pradeep Pasupuleti, Beulah Salome Purra

A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications.This book will guide readers (using best practices) in developing Data Lake's capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data.

Instant jQuery Flot Visual Data Analysis. Visualize and analyze your data with the jQuery Flot plotting library using real-world examples

Brian Peiris

Data visualization and analysis is a crucial skill in many software projects. Flot uses jQuery and HTML5 to add easy and powerful visualization capabilities to any web application. Flot produces beautiful visualizations with a minimal amount of code. It is also highly configurable, extensible, and includes many plugins out of the box.A practical guide to take you through the basics of using Flot to visualize your data; the book describes Flot's functionality in dedicated sections that include code, screenshots, and detailed explanations so that you can learn to produce charts in minutes. As you progress though this book, it will guide you through real-world examples to show you how to use statistical techniques with Flot for interactive data visualization and analysis.Starting with the very basics, you will learn exactly what you need to do to display the simplest chart using Flot. This step-by-step guide takes you through Flot's many features and settings until you can finally master the techniques you'll need to apply Flot to your application's data.You'll learn to create basic point, line, and bar charts and to use Flot's stack, pie, and time plugins to create specialized chart types. Along with learning to display complex data with multiple customizable axes you will learn to make your charts interactive with Flot's crosshair plugin. Finally, this book will guide you through learning statistical techniques via the jStat JavaScript library to analyse data; along with Flot's errorbars and fillbetween plugins to display error margins and data percentiles.Instant jQuery Flot Visual Data Analysis will give you a head start so that you can add data visualization features to your applications with ease.

Digital Forensics and Incident Response. Incident response tools and techniques for effective cyber threat response - Third Edition

Gerard Johansen

An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization’s infrastructure from attacks. This updated third edition will help you perform cutting-edge digital forensic activities and incident response with a new focus on responding to ransomware attacks.After covering the fundamentals of incident response that are critical to any information security team, you’ll explore incident response frameworks. From understanding their importance to creating a swift and effective response to security incidents, the book will guide you using examples. Later, you’ll cover digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. You’ll be able to apply these techniques to the current threat of ransomware. As you progress, you’ll discover the role that threat intelligence plays in the incident response process. You’ll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis and demonstrate how you can proactively use your digital forensic skills in threat hunting.By the end of this book, you’ll be able to investigate and report unwanted security breaches and incidents in your organization.

Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript

Rising Odegua, Stephen Oni

Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications.Starting with an overview of modern JavaScript, you’ll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You’ll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you’ll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you’ll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js.By the end of this app development book, you’ll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.

Hands-On Microservices with Kubernetes. Build, deploy, and manage scalable microservices on Kubernetes

Gigi Sayfan

Kubernetes is among the most popular open source platforms for automating the deployment, scaling, and operations of application containers across clusters of hosts, providing a container-centric infrastructure.Hands-On Microservices with Kubernetes starts by providing you with in-depth insights into the synergy between Kubernetes and microservices. You will learn how to use Delinkcious, which will serve as a live lab throughout the book to help you understand microservices and Kubernetes concepts in the context of a real-world application. Next, you will get up to speed with setting up a CI/CD pipeline and configuring microservices using Kubernetes ConfigMaps. As you cover later chapters, you will gain hands-on experience in securing microservices and implementing REST, gRPC APIs, and a Delinkcious data store. In addition to this, you’ll explore the Nuclio project, run a serverless task on Kubernetes, and manage and implement data-intensive tests. Toward the concluding chapters, you’ll deploy microservices on Kubernetes and learn to maintain a well-monitored system. Finally, you’ll discover the importance of service meshes and how to incorporate Istio into the Delinkcious cluster. By the end of this book, you’ll have gained the skills you need to implement microservices on Kubernetes with the help of effective tools and best practices.