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Podcasts
Kedeisha Bryan, Taamir Ransome
Preparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey.The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions.By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.
Andreas Oehlke, Andreas Oehlke
Game development is a field of interdisciplinary skills, which also makes it a very complex topic in many respects. One decision that usually needs to be made at the beginning of a game development processis to define the kind of computer system or platform the game will be developed for. This does not pose any problems in general but as soon as the game should also be able to run on multiple platforms it will become a developer's nightmare to maintain several distinct copies of the same game. This is where the libGDX multi-platform game development framework comes to the rescue!Learning Libgdx Game Development is a practical, hands-on guide that provides you with all the information you need to know about the libGDX framework as well as game development in general so you can start developing your own games for multiple platforms. You will gradually acquire deeper knowledge of both, libGDX and game development while you work through twelve easy-to-follow chapters.Learning Libgdx Game Development will walk you through a complete game development cycle by creating an example game that is extended with new features over several chapters. These chapters handle specific topics such as organizing resources, managing game scenes and transitions, actors, a menu system, using an advanced physics engine and many more. The chapters are filled with screenshots and/or diagrams to facilitate comprehension.Learning Libgdx Game Development is the book for you if you want to learn how to write your game code once and run it on a multitude of platforms using libGDX.
System software and applications were largely created using low-level languages such as C or C++. Go is a modern language that combines simplicity, concurrency, and performance, making it a good alternative for building system applications for Linux and macOS.This Go book introduces Unix and systems programming to help you understand the components the OS has to offer, ranging from the kernel API to the filesystem. You'll then familiarize yourself with Go and its specifications. You'll also learn how to optimize input and output operations with files and streams of data, which are useful tools in building pseudo-terminal applications. You'll gain insights into how processes communicate with each other, and learn about processes and daemon control using signals, pipes, and exit codes. This book will also enable you to understand how to use network communication using various protocols, including TCP and HTTP. As you advance, you'll focus on Go's best feature - concurrency, which will help you handle communication with channels and goroutines, other concurrency tools to synchronize shared resources, and the context package to write elegant applications.By the end of this book, you will have learned how to build concurrent system applications using Go
Nate Chamberlain, Karuana Gatimu
Step into the world of Microsoft 365 administration with this comprehensive second edition of the Microsoft 365 Administration Cookbook. Leveraging the expertise of Nate Chamberlain, a Microsoft 365 expert who has helped millions through his books, blog, and YouTube channel, this book breaks down complex administration tasks into manageable, bite-sized recipes.Covering everything from setting up your tenant to mastering identity roles, this edition also highlights the power of PowerShell to boost your capabilities. You’ll learn how to manage communication, collaboration, security, compliance, and more within Microsoft 365.Packed with practical recipes for both common and advanced administrative tasks, you’ll gain expertise in managing SharePoint Online and Microsoft Teams, and refining user management with Microsoft Entra ID. You’ll also learn how to configure Viva Engage, fortify your defenses with Microsoft Defender, and ensure compliance with Microsoft Purview.By the end of this book, you’ll have sharpened your administrative skills, gleaned actionable insights, and learned best practices. Whether you’re a veteran admin looking for innovative solutions or a newcomer building a solid skill set, this cookbook is an indispensable resource for your professional growth.
Business Intelligence Semantic Models (BISM) is a technology that is designed to deliver analytical information to users through a variety of mechanisms that include model structure, definition, and design. This book demonstrates how to create BISM models so that information can be presented to users in an intuitive and easy-to-use format. Once the model is defined, we also show you how it can be managed and maintained so that the data in it remains current and secure.Microsoft Tabular Modeling Cookbook is an all-encompassing guide to developing, managing, creating, and using analytical models using the Business Intelligence Semantic Model (BISM). This title covers a range of modeling situations and common data analysis related problems to show you the techniques required to turn data into information using tabular modeling.Microsoft Tabular Modeling Cookbook examines three areas of tabular modeling: model development, model management and maintenance, and reporting. This book is a practical guide on how to develop semantic models and turn business data into information. It covers all phases of the model lifecycle from creation to administration and finally reporting. It also shows you how to create models which are designed to analyze data.All sections of BISM modeling from development to management and finally reporting are covered. The sections on development examine a wide range of techniques and tricks required to build models, including moving data into the model, structuring the model to manipulate the data, and finally the formulas required to answer common business questions; all of these are discussed in this book in detail.Finally, the book examines methods of reporting on the data within the model, including the creation of data-driven workbooks and reports for a powerful end user experience.
Nmap is one of the most powerful tools for network discovery and security auditing used by millions of IT professionals, from system administrators to cybersecurity specialists. This third edition of the Nmap: Network Exploration and Security Auditing Cookbook introduces Nmap and its family - Ncat, Ncrack, Ndiff, Zenmap, and the Nmap Scripting Engine (NSE) - and guides you through numerous tasks that are relevant to security engineers in today’s technology ecosystems.The book discusses some of the most common and useful tasks for scanning hosts, networks, applications, mainframes, Unix and Windows environments, and ICS/SCADA systems. Advanced Nmap users can benefit from this book by exploring the hidden functionalities within Nmap and its scripts as well as advanced workflows and configurations to fine-tune their scans. Seasoned users will find new applications and third-party tools that can help them manage scans and even start developing their own NSE scripts. Practical examples featured in a cookbook format make this book perfect for quickly remembering Nmap options, scripts and arguments, and more.By the end of this Nmap book, you will be able to successfully scan numerous hosts, exploit vulnerable areas, and gather valuable information.
David Young, phpList PAYPAL donate@phplist.com, David Young
Tired of an e-mail BCC list that scrolls off the page, or fiddly and hard-to-manage bulk mailing systems? You need phpList – a high-powered, robust, feature-packed mailing system that will get out of your way and get the job done! You want to know more about phpList?phpList is a popular open source e-mail campaign manager, sporting a powerful web frontend, rich message editor, and an advanced feature set.phpList 2 E-mail Campaign Manager will guide you from basic installation and setup through management, reporting, and automation of phpList, the world's most popular open source e-mail campaign manager. It also covers advanced customization and configuration of phpList.We start with a basic configuration, and finish with a full-featured e-mail management engine. You will work your way up from basic installation to advanced topics such as bounce automation, user and click-through tracking, and integration with third-party tools such as WordPress, Joomla!, Drupal, and Blogger.Advanced topics such as securing your installation against spammers, attacks, and vulnerabilities are covered, as well as additional advanced and experimental features offered by phpList.This book is an invaluable guide for any e-mail publisher who wants a robust and powerful engine to manage their small-to-huge e-mail distribution empire.
Ivan Marin, Ankit Shukla, Sarang VK
Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.The book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools.By the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs.
Sandro Tosi, John Hunter, Sandro Tosi
Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This book explains creating various plots, histograms, power spectra, bar charts, error charts, scatter-plots and much more using the powerful Matplotlib library to get impressive out-of-the-box results.This book gives you a comprehensive tour of the key features of the Matplotlib Python 2D plotting library, right from the simplest concepts to the most advanced topics. You will discover how easy it is to produce professional-quality plots when you have this book to hand.The book introduces the library in steps. First come the basics: introducing what the library is, its important prerequisites (and terminology), installing and configuring Matplotlib, and going through simple plots such as lines, grids, axes, and charts. Then we start with some introductory examples, and move ahead by discussing the various programming styles that Matplotlib allows, and several key features.Further, the book presents an important section on embedding applications. You will be introduced to three of the best known GUI libraries 'GTK+, Qt, and wxWidgets' and presented with the steps to implement to include Matplotlib in an application written using each of them. You will learn through an incremental approach: from a simple example that presents the peculiarities of the GUI library, to more complex ones, using GUI designer tools.Because the Web permeates all of our activities, a part of the book is dedicated to showing how Matplotlib can be used in a web environment, and another section focuses on using Matplotlib with common Python web frameworks, namely, Pylons and Django. Last, but not least, you will go through real-world examples, where you will see some real situations in which you can use Matplotlib.
Although creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products.The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you’ll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.Towards the end, you’ll address the most challenging aspect of large-scale machine learning systems – ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began – large-scale machine learning software.
Juan Bravo Vargas, Mariano Martínez Melo, Tommy Skaue
Meeting delivery commitments has become increasingly challenging due to evolving demands and fluctuating material availability. As a result, establishing robust systems and processes that can adapt to this dynamic environment has become a necessity. With Becoming a Dynamics 365 Supply Chain Management Functional Consultant Associate, you’ll understand how to initiate and implement effective supply chain management processes.This book begins with an overview of the processes and modules within Dynamics 365 and then delves into real-life case studies involving procurement, sales, and quality assurance. You’ll explore more advanced tools and core processes, such as warehouse and transportation management, which allows you to define storage flows and shipping controls. You’ll also learn about the various tools available to define solutions and discover how to work within the Dynamics 365 Supply Chain Management platform. The last set of chapters will take you through the planning techniques and considerations to schedule and control all supply process flows seamlessly.By the end of this book, you’ll not only be well-prepared to obtain your certification as a Microsoft Dynamics 365 Supply Chain Management Functional Consultant Associate but also be equipped to solidify your expertise and pursue exciting career opportunities.
MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
MLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more.With the groundwork in place, you’ll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform.As you advance through the chapters, you’ll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models.Armed with this comprehensive knowledge, you’ll be able to implement MLOps workflows on the OpenShift platform proficiently.
HTML5 is everywhere. From PCs to tablets to smartphones and even TVs, the web is the most ubiquitous application platform and information medium bar. Its becoming a first class citizen in established operating systems such as Microsoft Windows 8 as well as the primary platform of new operating systems such as Google Chrome OS.HTML5 Data and Services Cookbook contains over 100 recipes explaining how to utilize modern features and techniques when building websites or web applications. This book will help you to explore the full power of HTML5 - from number rounding to advanced graphics to real-time data binding.HTML5 Data and Services Cookbook starts with the display of text and related data. Then you will be guided through graphs and animated visualizations followed by input and input controls.Data serialization, validation and communication with the server as well as modern frameworks with advanced features like automatic data binding and server communication will also be covered in detail.This book covers a fast track into new libraries and features that are part of HTML5!
The Tableau Desktop Specialist certification is fundamental for any data visualization professional who works in the field with Tableau.This book gets you started by covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. It also builds on your knowledge of advanced Tableau topics to get you up to speed with the essential domains and domain objectives. Although the guide provides an outline and starting point to key in on what needs to be understood before the examination, it also delivers in context to give you a strong understanding of each piece before taking the exam. Instructions on how to get hands on with examples, a common data source, and suggested elements are also included. Understanding the concepts will not only assist you in passing the examination, but will also help you work effectively with the tool in your workspace.By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the author.