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Podcasty
Written by a recognized cybersecurity expert, Microsoft Defender for Identity in Depth not only lays the groundwork for deploying and managing MDI, but also takes your knowledge to expert levels, enabling you to strengthen your organization against the most advanced cyber threats.You’ll familiarize yourself with the essentials of MDI, from seamless setup to leveraging PowerShell for automation, setting the stage for exploring advanced integrations and capabilities. Through practical, real-world examples, you’ll learn how to extend MDI’s reach by using APIs and conducting proactive threat hunting with KQL to turn insights into actions.The book gradually shifts focus to operational excellence, helping you develop expertise in investigating alerts, optimizing action accounts, and troubleshooting, which will empower you to master the building and maintenance of a robust ITDR framework and strengthen your security posture.By the end of this book, you’ll be able to harness the full potential of MDI’s functionalities, positioning you as a key player in your organization’s cybersecurity defenses.
Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton
Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with ADF and show you how to use the Azure portal to monitor pipelines. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.
Ouya is a microconsole running its own version of the Android operating system. The console features an exclusive Ouya store for applications and games designed specifically for the Ouya platform. It runs a modified version of Android 4.1 Jellybean, and is open to rooting without voiding the warranty. All systems can be used as development kits which allow any Ouya owner to be a developer without any licensing fee. Ouya Unity Game Development offers detailed, easy-to-follow, step-by-step instructions which will help you learn the ins and outs of Ouya development in Unity.From connecting your device with Android Debug Bridge to publishing it on the Ouya Developer Portal, this book will explain the processes involved in creating a game from scratch. As you progress through the book, you will learn about scenes, prefabs, sounds, models, and animations. By the end of the seventh chapter, you will have a 3D game with multiple levels, the possibility of in-app purchases, and controller support that runs on both the Ouya and an Android phone. Starting with an introduction to Ouya, you will learn how to set up an environment and render game levels on Ouya. You will learn how to change levels and how to save the current level. You will then dive into Ouya controller integration and character animation. This book will also teach you the workings of audio source components, and will show you how to add textures to prefabs. Finally, you will learn how you can monetize the game. By the end of this book, you will have the game running on Ouya and geared up to create games on your own.
Salesforce Nonprofit Cloud enables a 360-degree view of people related to your nonprofit to connect fundraising, program management, and grantmaking. With a single, unified view of every interaction with constituents, nonprofits can create strong relationships with the community and streamline internal processes.The book starts by covering the tools and features that make up Nonprofit Cloud, helping you understand their standard functionalities and how Nonprofit Success Pack's (NPSP) data architecture is critical to implementation. You’ll learn how the Nonprofit Cloud Program Management Module can connect your programs, automate case management, and track client progress. Next, you’ll explore the tools for creating a change management process to increase user adoption. Moving ahead, you’ll understand how to configure necessary permissions for NPSP administration and explore how declarative tools help better align the goals of a nonprofit organization. Toward the concluding chapters, you’ll cover customizations, deployment, custom reports, and dashboards for fundraising analytics, as well as best practices for data management to maintain its integrity.By the end of this Salesforce book, you’ll be able to build and configure the Nonprofit Cloud for a variety of use cases to achieve maximum social impact with the least amount of technical debt.
Unreal Engine 4 now has support for Blender, which was not available in earlier versions. This has opened up new possibilities and that is where this book comes in. This is the first book in the market combining these two powerful game and graphic engines. Readers will build an amazing high-level game environment with UE4 and will show them how to use the power of Blender 3D to create stunning animations and 3D effects for their game. This book will start with creating levels, 3D assets for the game, game progression, light and environment control, animation, and so on. Then it will teach readers to add amazing visual effects to their game by applying rendering, lighting, rigging, and compositing techniques in Blender. Finally, readers will learn how to smoothly transfer blender files to UE4 and animate the game assets. Each chapter will add complexities to the game environment.
The 2nd Edition of Linux Kernel Programming is an updated, comprehensive guide for those new to Linux kernel development. Built around the latest 6.1 Long-Term Support (LTS) Linux kernel, which is maintained until December 2026, this edition explores its key features and enhancements. Additionally, with the Civil Infrastructure Project extending support for the 6.1 Super LTS (SLTS) kernel until August 2033, this book will remain relevant for years to come.You'll begin this exciting journey by learning how to build the kernel from source. Step by step, you will then learn how to write your first kernel module by leveraging the kernel's powerful Loadable Kernel Module (LKM) framework. With this foundation, you will delve into key kernel internals topics including Linux kernel architecture, memory management, and CPU (task) scheduling. You'll finish with understanding the deep issues of concurrency, and gain insight into how they can be addressed with various synchronization/locking technologies (for example, mutexes, spinlocks, atomic/refcount operators, rw-spinlocks and even lock-free technologies such as per-CPU and RCU).By the end of this book, you'll build a strong understanding of the fundamentals to writing the Linux kernel and kernel module code that can straight away be used in real-world projects and products.
Drupal’s theme layer, and the themes that use it, are responsible for the look and feel of a Drupal web site. Themes have the final say and ultimate control over almost every aspect of each page. Good themes consist of all the same elements that you would find on any reputable web site, including standards-compliant XHTML markup, CSS, and JavaScript. How it all comes together is what is so special and what makes Drupal themes so flexible and powerful.Premium Drupal Themes is a practical, hands-on guide filled with clear, step-by-step examples which shows you how to create Drupal themes using HTML. This book will show you the best practices and conventions that you should adopt and utilize so you can change the way Drupal looks using HTML without wasting energy digging through Drupal’s code.Starting with the essentials including Drupal terminology and Drupal theme structures, this book will show you how to configure raw HTML in a Drupal environment. You will learn about the Drupal template variables and also how to populate a Drupal theme with dynamic content. You will also discover how to customize the search result page and how to add regions to your home page. This book will help you familiarize yourself with the theme engines and will help you learn about the core of Drupal’s theme rendering system. Finally, you will learn how to create your very own Drupal theme that will take people’s breath away!
Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
Most marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial.In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the what and why questions to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making.By the end of this book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.
Modern programming languages such as Python, JavaScript, and Java have become increasingly accepted for application-level programming, but for systems programming, C and C++ are predominantly used due to the need for low-level control of system resources. Rust promises the best of both worlds: the type safety of Java, and the speed and expressiveness of C++, while also including memory safety without a garbage collector. This book is a comprehensive introduction if you’re new to Rust and systems programming and are looking to build reliable and efficient systems software without C or C++.The book takes a unique approach by starting each topic with Linux kernel concepts and APIs relevant to that topic. You’ll also explore how system resources can be controlled from Rust. As you progress, you’ll delve into advanced topics. You’ll cover network programming, focusing on aspects such as working with low-level network primitives and protocols in Rust, before going on to learn how to use and compile Rust with WebAssembly. Later chapters will take you through practical code examples and projects to help you build on your knowledge.By the end of this Rust programming book, you will be equipped with practical skills to write systems software tools, libraries, and utilities in Rust.
Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms.The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you've got to grips with the basics, you'll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you'll study the dataset of a bank's marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You'll also learn how to compare these models and select the optimal one.By the end of The Machine Learning Workshop, you'll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you'll also have developed the skills required to get started with programming your very own machine learning algorithms.
The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts.Starting with the fundamentals, you’ll explore the complete model development process, covering everything from data pre-processing to model development. In addition to machine learning, you’ll also delve into R's statistical capabilities, learning to manipulate various data types and tackle complex mathematical challenges from algebra and calculus to probability and Bayesian statistics. You’ll discover linear regression techniques and more advanced statistical methodologies to hone your skills and advance your career.By the end of this book, you'll have a robust foundational understanding of statistics and machine learning. You’ll also be proficient in using R's extensive libraries for tasks such as data processing and model training and be well-equipped to leverage the full potential of R in your future projects.
Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug discovery.Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural network architectures and learn essential concepts such as graph convolution, self-attention, link prediction, and heterogeneous graphs. Finally, the book proposes applications to solve real-life problems, enabling you to build a professional portfolio. The code is readily available online and can be easily adapted to other datasets and apps.By the end of this book, you’ll have learned to create graph datasets, implement graph neural networks using Python and PyTorch Geometric, and apply them to solve real-world problems, along with building and training graph neural network models for node and graph classification, link prediction, and much more.
Microsoft Azure and its Identity and access management are at the heart of Microsoft's software as service products, including Office 365, Dynamics CRM, and Enterprise Mobility Management. It is crucial to master Microsoft Azure in order to be able to work with the Microsoft Cloud effectively.You’ll begin by identifying the benefits of Microsoft Azure in the field of identity and access management. Working through the functionality of identity and access management as a service, you will get a full overview of the Microsoft strategy. Understanding identity synchronization will help you to provide a well-managed identity. Project scenarios and examples will enable you to understand, troubleshoot, and develop on essential authentication protocols and publishing scenarios. Finally, you will acquire a thorough understanding of Microsoft Information protection technologies.
Migrating to a new server involves a lot of decision making and planning. Windows Server 2012 comes with exciting new features and ease of use. This book will help you migrate to your new server in no time. Instant Migration from Windows Server 2008 and 2008 R2 to 2012 How-to provides you with many practical and real world scenarios in a step-by-step guide. It is designed to lead you through the entire process of migration.Beginning with an introduction to Windows Server 2012, the author then takes you through the installation and configuration of the server, before continuing on to migrate the existing services to Windows Server and how to decommission old servers. The “how-to” migration scenarios described are based on the author's own field experiences, guaranteeing real-world solutions. The scenarios include Active Directory, enabling a Remote Desktop, Print Server, and Hyper-V migration details. From the planning to theimplementation phase, Instant Migration from Windows Server 2008 and 2008 R2 to 2012 How-to is your comprehensive guide for completing migration solutions.
Amos Q. Haviv, Thoriq Firdaus, Joshua Johanan, Talha Khan, ...
This comprehensive reference guide takes you through each topic in web development and highlights the most popular and important elements of each area. Starting with HTML, you will learn key elements and attributes and how they relate to each other. Next, you will explore CSS pseudo-classes and pseudo-elements, followed by CSS properties and functions. This will introduce you to many powerful and new selectors. You will then move on to JavaScript. This section will not just introduce functions, but will provide you with an entire reference for the language and paradigms. You will discover more about three of the most popular frameworks today—Bootstrap, which builds on CSS, jQuery which builds on JavaScript, and AngularJS, which also builds on JavaScript. Finally, you will take a walk-through Node.js, which is a server-side framework that allows you to write programs in JavaScript.
Eren Kalelioglu, Evren Civelek
Implementing Atlassian Confluence is an all-encompassing guide to the essential concepts of distributed work and leveraging Confluence to create a world-class collaboration environment.This book begins with an introduction to enterprise collaboration concepts and explains how to set up Confluence. You’ll quickly proceed to creating and maintaining dynamic content, effective cross-functional collaboration, and employing Confluence applications in scenarios such as software project management and knowledge bases.You’ll discover how to use Jira Service Management together with Confluence, set up personal spaces, implement centralized user management, address security risks, and explore suggested solutions on Confluence. Furthermore, you’ll integrate and extend Confluence with other Atlassian and third-party software. The book also contains tips and guidance on managing Confluence adoption, enabling you to focus on your team and provide them with a state-of-the-art remote collaboration environment.Complete with practical business scenarios, best practices, and examples, this book will help you gain a comprehensive understanding of Atlassian Confluence’s capabilities for enhancing collaboration within cross-functional teams.
Ashish Kumar, Shashank Kumar, Abbas Kudrati, Sarah Armstrong- Smith
With the rapid pace of digital change today, especially since the pandemic sped up digital transformation and technologies, it has become more important than ever to be aware of the unknown risks and the landscape of digital threats. This book highlights various risks and shows how business-as-usual operations carried out by unaware or targeted workers can lead your organization to a regulatory or business risk, which can impact your organization’s reputation and balance sheet.This book is your guide to identifying the topmost risks relevant to your business with a clear roadmap of when to start the risk mitigation process and what your next steps should be. With a focus on the new and emerging risks that remote-working companies are experiencing across diverse industries, you’ll learn how to manage risks by taking advantage of zero trust network architecture and the steps to be taken when smart devices are compromised. Toward the end, you’ll explore various types of AI-powered machines and be ready to make your business future-proof.In a nutshell, this book will direct you on how to identify and mitigate risks that the ever- advancing digital technology has unleashed.
James H Baxter, Yoram Orzach, Charit Mishra
This Learning Path starts off installing Wireshark, before gradually taking you through your first packet capture, identifying and filtering out just the packets of interest, and saving them to a new file for later analysis. You will then discover different ways to create and use capture and display filters. By halfway through the book, you'll be mastering Wireshark features, analyzing different layers of the network protocol, and looking for any anomalies.We then start Ethernet and LAN switching, through IP, and then move on to TCP/UDP with a focus on TCP performance problems. It also focuses on WLAN security. Then, we go through application behavior issues including HTTP, mail, DNS, and other common protocols. This book finishes with a look at network forensics and how to locate security problems that might harm the network.This course provides you with highly practical content explaining Metasploit from the following books:1) Wireshark Essentials2) Network Analysis Using Wireshark Cookbook3) Mastering Wireshark
Bahaaldine Azarmi, Jeff Vestal, Shay Banon
While natural language processing (NLP) is largely used in search use cases, this book aims to inspire you to start using vectors to overcome equally important domain challenges like observability and cybersecurity. The chapters focus mainly on integrating vector search with Elastic to enhance not only their search but also observability and cybersecurity capabilities.The book, which also features a foreword written by the founder of Elastic, begins by teaching you about NLP and the functionality of Elastic in NLP processes. Here you’ll delve into resource requirements and find out how vectors are stored in the dense-vector type along with specific page cache requirements for fast response times. As you advance, you’ll discover various tuning techniques and strategies to improve machine learning model deployment, including node scaling, configuration tuning, and load testing with Rally and Python. You’ll also cover techniques for vector search with images, fine-tuning models for improved performance, and the use of clip models for image similarity search in Elasticsearch. Finally, you’ll explore retrieval-augmented generation (RAG) and learn to integrate ChatGPT with Elasticsearch to leverage vectorized data, ELSER's capabilities, and RRF's refined search mechanism.By the end of this NLP book, you’ll have all the necessary skills needed to implement and optimize vector search in your projects with Elastic.