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Management
Podcasts
Greg Gifford, Jason Hanshaw, Guilda Hilaire
Salesforce Marketing Cloud (SFMC) allows you to use multiple channels and tools to create a 1:1 marketing experience for your customers and subscribers. Through automation and helper tasks, you can greatly increase your productivity while also reducing the level of effort required in terms of volume and frequency.Automating Salesforce Marketing Cloud starts by discussing what automation is generally and then progresses to what automation is in SFMC. After that, you’ll focus on how to perform automation inside of SFMC all the way to fully running processes and capabilities from an external service. Later chapters explore the benefits and capabilities of automation and having an automation mindset both within and outside of SFMC. Equipped with this knowledge and example code, you'll be prepared to maximize your SFMC efficiency.By the end of this Salesforce audiobook, you’ll have the skills you need to build automation both inside and outside of SFMC, along with the knowledge for using the platform optimally.
Blender is a massively popular and powerful 3D program, with versatile modeling abilities that make it a great way to enter the 3D modelling world.Blender 3D Incredible Models is an extensive guide for those new to hard-surface modeling with Blender, helping you understand the complete range of tools and features it offers and how to employ those efficiently to create realistic models. You’ll be led through progressively more challenging modeling projects— from an assault rifle and an army tank to a sci-fi spaceship model—giving you a glimpse of all the skills you’d need in Blender’s vast ecosystem of features and functionality, ranging from textures, rendering, and UV mapping to lighting, rigging, and beyond. Each engaging project builds upon the last until you’re equipped with everything you need to tackle your own modeling challenges, whatever they may be.By the end of this Blender book, you won’t just know how to create the models covered here, but you’ll be able to turn your own concepts and references into 3D Blender models too!
Python has made software development easier, but it falls short in several areas including memory management that lead to poor performance and security. Rust, on the other hand, provides memory safety without using a garbage collector, which means that with its low memory footprint, you can build high-performant and secure apps relatively easily. However, rewriting everything in Rust can be expensive and risky as there might not be package support in Rust for the problem being solved. This is where Python bindings and pip come in.This book will help you, as a Python developer, to start using Rust in your Python projects without having to manage a separate Rust server or application. Seeing as you'll already understand concepts like functions and loops, this book covers the quirks of Rust such as memory management to code Rust in a productive and structured manner. You'll explore the PyO3 crate to fuse Rust code with Python, learn how to package your fused Rust code in a pip package, and then deploy a Python Flask application in Docker that uses a private Rust pip module. Finally, you'll get to grips with advanced Rust binding topics such as inspecting Python objects and modules in Rust.By the end of this Rust book, you'll be able to develop safe and high-performant applications with better concurrency support.
Raghu Boddu, Rod Trent, Sami Lamppu
Tired of dealing with fragmented security tools and navigating endless threat escalations? Take charge of your cyber defenses with the power of Microsoft's unified XDR and SIEM solution.This comprehensive guide offers an actionable roadmap to implementing, managing, and leveraging the full potential of the powerful unified XDR + SIEM solution, starting with an overview of Zero Trust principles and the necessity of XDR + SIEM solutions in modern cybersecurity. From understanding concepts like EDR, MDR, and NDR and the benefits of the unified XDR + SIEM solution for SOC modernization to threat scenarios and response, you’ll gain real-world insights and strategies for addressing security vulnerabilities. Additionally, the book will show you how to enhance Secure Score, outline implementation strategies and best practices, and emphasize the value of managed XDR and SIEM solutions. That’s not all; you’ll also find resources for staying updated in the dynamic cybersecurity landscape.By the end of this insightful guide, you'll have a comprehensive understanding of XDR, SIEM, and Microsoft's unified solution to elevate your overall security posture and protect your organization more effectively.
Mastering Redmine. - Second Edition
Redmine is not only one of the popular open source project management applications but also one of the best project hosting and issue tracking solutions.This book is an update of our previous successful edition, Mastering Redmine. This book is a comprehensive guide that will give you a detailed practical understanding on how to effectively manage, monitor and administer complex projects using Redmine.You will get familiar with the concept of Issue Tracking and will get to know why and what makes Redmine one of the best issue trackers. Another main part of Redmine functionality, which is Managing projects shows why this is one of the best applications for project hosting. Furthermore, you will learn more about Redmine rich text formatting syntax, access control and workflow and time Tracking. Towards the end, you will unleash the power of custom fields and guides to show how to customize Redmine without breaking upgrade compatibility.By the end of the book, you will have a deep practical understanding on how to effectively monitor and manage large scale and complex projects using Redmine.
AshishSingh Bhatia, Bostjan Kaluza
As the amount of data in the world continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of big data and Data Science. The main challenge is how to transform data into actionable knowledge.Machine Learning in Java will provide you with the techniques and tools you need. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. The code in this book works for JDK 8 and above, the code is tested on JDK 11.Moving on, you will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text analysis. By the end of the book, you will have explored related web resources and technologies that will help you take your learning to the next level.By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data.