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Podcasts
Oracle Solaris provides innovative, built-in features that deliver breakthrough high availability, advanced security, efficiency, and industry-leading scalability and performance to help businesses grow. Oracle Solaris 11: First Look covers the new features and functionality of Oracle Solaris 11 and how these new features and improvements will make it easier to deploy services to the enterprise while improving performance and reducing total cost of ownership.This book starts with coverage of Image Packaging System and the new installation methods. It then moves swiftly to network configuration. The book also includes some security features and improvements.
Richard Diver, Gary Bushey, Jason S. Rader
Azure Sentinel is a Security Information and Event Management (SIEM) tool developed by Microsoft to integrate cloud security and artificial intelligence (AI). Azure Sentinel not only helps clients identify security issues in their environment, but also uses automation to help resolve these issues. With this book, you’ll implement Azure Sentinel and understand how it can help find security incidents in your environment with integrated artificial intelligence, threat analysis, and built-in and community-driven logic.This book starts with an introduction to Azure Sentinel and Log Analytics. You’ll get to grips with data collection and management, before learning how to create effective Azure Sentinel queries to detect anomalous behaviors and patterns of activity. As you make progress, you’ll understand how to develop solutions that automate the responses required to handle security incidents. Finally, you’ll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community.By the end of this book, you’ll have learned how to implement Azure Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues.
The Jupyter Notebook allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples.The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode.By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.
Nitish Misra, John P. Doran, Joanna Lee
Unreal Engine technology powers hundreds of games. This Learning Path will help you create great 2D and 3D games that are distributed across multiple platforms.The first module, Learning Unreal Engine Game Development, starts with small, simple game ideas and playable projects. It starts by showing you the basics in the context of an individual game level. Then, you'll learn how to add details such as actors, animation, effects, and so on to the game. This module aims to equip you with the confidence and skills to design and build your own games using Unreal Engine 4. By the end of this module, you will be able to put into practise your own content.After getting familiar with Unreal Engine’s core concepts, it’s time that you dive into the field of game development. In this second module, Unreal Engine Game Development Cookbook we show you how to solve development problems using Unreal Engine, which you can work through as you build your own unique project. Every recipe provides step-by-step instructions, with explanations of how these features work, and alternative approaches and research materials so you can learn even more. You will start by building out levels for your game, followed by recipes to help you create environments, place meshes, and implement your characters. By the end of this module, you will see how to create a health bar and main menu, and then get your game ready to be deployed and published.The final step is to create your very own game that will keep mobile users hooked.This is what you'll be learning in our third module, Learning Unreal Engine Android Game Development,Once you get the hang of things, you will start developing our game, wherein you will graduate from movement and character control to AI and spawning. Once you've created your application, you will learn how to port and publish your game to the Google Play Store.With this course, you will be inspired to come up with your own great ideas for your future game development projects.
Adil Zafar, Dharma Alturi, Sanket Taur, Mihir R. Gor
If you’re unsure whether adopting SAP S/4HANA is the right move for your enterprise, then this book is for you. This practical and comprehensive guide will help you determine your next steps toward building a business case, while preparing you for all the possible scenarios and enabling you to make informed decisions during implementation. RISEwith SAP toward a Sustainable Enterprise is packed with clear and detailed advice, including a run-through of what it takes to design the landscape using RISE with SAP. As you go through the chapters, you’ll get a solid understanding of precisely what services are available (such as Process Discovery, data migration, the fit-to-standard approach), and which scope items on RISE with SAP should be considered, allowing you to make the most of RISE with the SAP-based model. Finally, you’ll get an overview of different industry-based use cases and how they can be brought to reality with the platform that’s set up on the RISE with SAP offering. By the end of this book, you’ll be able to build a detailed business case to determine if RISE with SAP is the right transformation engine for you, along with a clear idea of optimized landscape design on RISE with SAP that addresses the pain points for your implementation and support activities.
William Lo, Raymond Chun Hing Lo
OpenGL is a great multi-platform, cross-language, and hardware-accelerated graphics interface for visualizing large 2D and 3D datasets. Data visualization has become increasingly challenging using conventional approaches as datasets become larger and larger, especially with the Big Data evolution. From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications.This book provides a series of easy-to-follow, hands-on tutorials to create appealing OpenGL-based visualization tools with minimal development time. We will first illustrate how to quickly set up the development environment in Windows, Mac OS X, and Linux. Next, we will demonstrate how to visualize data for a wide range of applications using OpenGL, starting from simple 2D datasets to increasingly complex 3D datasets with more advanced techniques. Each chapter addresses different visualization problems encountered in real life and introduces the relevant OpenGL features and libraries in a modular fashion.By the end of this book, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs, on platforms ranging from conventional computers to the latest mobile/wearable devices.
Automating server tasks allows administrators to repeatedly perform the same, or similar, tasks over and over again. With PowerShell scripts, you can automate server tasks and reduce manual input, allowing you to focus on more important tasks. Windows Server 2012 Automation with PowerShell Cookbook will show several ways for a Windows administrator to automate and streamline his/her job. Learn how to automate server tasks to ease your day-to-day operations, generate performance and configuration reports, and troubleshoot and resolve critical problems. Windows Server 2012 Automation with PowerShell Cookbook will introduce you to the advantages of using Windows Server 2012 and PowerShell. Each recipe is a building block that can easily be combined to provide larger and more useful scripts to automate your systems. The recipes are packed with examples and real world experience to make the job of managing and administrating Windows servers easier. The book begins with automation of common Windows Networking components such as AD, DHCP, DNS, and PKI, managing Hyper-V, and backing up the server environment. By the end of the book you will be able to use PowerShell scripts to automate tasks such as performance monitoring, reporting, analyzing the environment to match best practices, and troubleshooting.
DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.