Tableau Prep Cookbook. Use Tableau Prep to clean, combine, and transform your data for analysis

Hendrik Kleine

Tableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines.The book starts by showing you how to set up Tableau Prep Builder. You’ll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You’ll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you’ll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you’ll apply the knowledge you’ve gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis.By the end of this book, you’ll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines.

Linux for Networking Professionals. Securely configure and operate Linux network services for the enterprise

Rob VandenBrink

As Linux continues to gain prominence, there has been a rise in network services being deployed on Linux for cost and flexibility reasons. If you are a networking professional or an infrastructure engineer involved with networks, extensive knowledge of Linux networking is a must.This book will guide you in building a strong foundation of Linux networking concepts. The book begins by covering various major distributions, how to pick the right distro, and basic Linux network configurations. You'll then move on to Linux network diagnostics, setting up a Linux firewall, and using Linux as a host for network services. You'll discover a wide range of network services, why they're important, and how to configure them in an enterprise environment. Finally, as you work with the example builds in this Linux book, you'll learn to configure various services to defend against common attacks. As you advance to the final chapters, you’ll be well on your way towards building the underpinnings for an all-Linux datacenter.By the end of this book, you'll be able to not only configure common Linux network services confidently, but also use tried-and-tested methodologies for future Linux installations.

Linux Mint Essentials. A practical guide to Linux Mint for the novice to the professional

Jay LaCroix

Learning ArcGIS Geodatabases. An all-in-one start up kit to author, manage, and administer ArcGIS geodatabases

Hussein Nasser

Generative AI Art. Unleash Your Creativity with Generative AI Art for Beginners

Oliver Theobald

The course introduces the basic concepts of artificial intelligence and its application in art, making it accessible even to those without a technical background. This foundation paves the way for exploring the nuances of effective prompt crafting, a critical skill for generating bespoke AI artwork.The course focuses on hands-on demonstrations with leading AI art software, including Craiyon and Midjourney, offering step-by-step guides to harness these tools effectively. Through practical examples, learners will understand how to navigate image prompts, masking techniques, framing, and lighting to enhance the visual appeal of their creations. The significance of navigating these elements is underscored, highlighting their role in achieving consistency and originality in AI-generated art.The course wraps up by delving into the remixing of popular art styles, the art of creating compelling text prompts, and the critical aspects of image rights, ethics, privacy, and originality in the digital art space. By concluding with recommended resources, learners are equipped to continue their journey in AI art, fueled by inspiration and a solid understanding of the field's possibilities and responsibilities.

Mastering SAS Programming for Data Warehousing. An advanced programming guide to designing and managing Data Warehouses using SAS

Monika Wahi

SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’.This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience.By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS.

Final Cut Pro Efficient Editing. A step-by-step guide to smart video editing with FCP 10.6

Iain Anderson

Final Cut Pro (also known as FCP, previously Final Cut Pro X) is Apple’s efficient and accessible video editing software for everyone, offering powerful features that experienced editors and novices will find useful. FCP is the quickest way to transform your raw clips into a finished piece, so if speed is important, make this a key tool in your editing arsenal.Final Cut Pro Efficient Editing is a comprehensive best practice guide for all editors. You’ll not only learn how to use the features but also find out which ones are the most important and when you should use them. With the help of practical examples, the book will show you how typical footage can be assembled, trimmed, colored, and finessed to produce a finished edit, exploring a variety of techniques. As you progress through the book, you’ll follow a standard editing workflow to get the feel of working on real-world projects and answer self-assessment questions to make sure that you’re on track.By the end of this Final Cut Pro book, you’ll be well versed with the key features of this app and have all the tools you need to create impressive edits.

The Kubernetes Bible. The definitive guide to deploying and managing Kubernetes across cloud and on-prem environments - Second Edition

Gineesh Madapparambath, Russ McKendrick, Ed Price

Kubernetes has become the go-to orchestration platform for containerized applications. As a Kubernetes user, you know firsthand how powerful yet complex this tool can be. The Kubernetes Bible cuts through the complexity, offering hands-on examples and expert advice to conquer containerization challengesWith this new edition, you will master cutting edge security practices, deploy seamlessly and scale effortlessly, ensuring unwavering service availability. You will gain the expertise to craft production-grade applications, secure development environments, navigate complex deployments with ease, and become a security maestro. You will be able to optimize network communication and data management across major cloud platforms. Additionally, this book dives deep into these challenges, offering solutions such as multi-container Pods, advanced security techniques, and expert networking guidance. You will also explore persistent storage advancements, cloud-specific cluster management updates, and best practices for traffic routingBy the end of this comprehensive guide, you will possess the skills and knowledge to orchestrate your containerized applications with precision, ensuring their optimal performance and scalability. Stop settling for basic container management. Order your copy today and orchestrate your containers to greatness.

Adversarial Tradecraft in Cybersecurity. Offense versus defense in real-time computer conflict

Dan Borges

Little has been written about what to do when live hackers are on your system and running amok. Even experienced hackers tend to choke up when they realize the network defender has caught them and is zoning in on their implants in real time. This book will provide tips and tricks all along the kill chain of an attack, showing where hackers can have the upper hand in a live conflict and how defenders can outsmart them in this adversarial game of computer cat and mouse.This book contains two subsections in each chapter, specifically focusing on the offensive and defensive teams. It begins by introducing you to adversarial operations and principles of computer conflict where you will explore the core principles of deception, humanity, economy, and more about human-on-human conflicts. Additionally, you will understand everything from planning to setting up infrastructure and tooling that both sides should have in place.Throughout this book, you will learn how to gain an advantage over opponents by disappearing from what they can detect. You will further understand how to blend in, uncover other actors’ motivations and means, and learn to tamper with them to hinder their ability to detect your presence. Finally, you will learn how to gain an advantage through advanced research and thoughtfully concluding an operation.By the end of this book, you will have achieved a solid understanding of cyberattacks from both an attacker’s and a defender’s perspective.

Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists

Julien Simon, Francesco Pochetti

Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker.You’ll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you’ll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You’ll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you’ll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy.By the end of this Amazon book, you’ll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.

Spark for Data Science. Click here to enter text

Srinivas Duvvuri, Bikramaditya Singhal

This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.

Learning Grunt. Monitor and automate complex JavaScript tasks and processes by obtaining a practical understanding of Grunt

Douglas Reynolds

With the increasing focus on task automation, the Grunt task runner is a vast platform that allows you to incorporate automation into your workflows.At the outset, you will learn how to use Node.js and NMP through an example. You will then find out how to build a sample app and the development environment for it. You will further delve into the implementation of Grunt plugins and the configuration of Grunt tasks. Furthermore, you will explore the various methods and packages for workflow automation. The final chapter will cover some advanced concepts, such as configuration variables and how to create a Grunt plugin.By the end of the book, you will have gained the fundamentals of Grunt and progressed through advanced concepts, including building a Grunt plugin.

C++ Programming for Linux Systems. Create robust enterprise software for Linux and Unix-based operating systems

Desislav Andreev, Stanimir Lukanov, Milena Lazarova

Around 35 million Linux and almost 2 billion Android users rely on C++ for everything from the simplest embedded and IoT devices to cloud services, supercomputing, and space exploration. To help you produce high-quality software, two industry experts have transformed their knowledge and experience into practical examples in system programming with C++ Programming for Linux Systems.In this book, you'll explore the latest C++20 features, while working on multiple specific use cases. You’ll get familiar with the coroutines and modern approaches in concurrent and multithreaded programming. You'll also learn to reshape your thinking when analyzing system behavior in Linux (POSIX) environments. Additionally, you'll discover advanced discussions and novel solutions for complex challenges, while approaching trivial system operations with a new outlook and learning to choose the best design for your particular case.You can use this workbook as an introduction to system programming and software design in Linux or any Unix-based environment. You’ll also find it useful as a guideline or a supplement to any C++ book.By the end of this book, you’ll have gained advanced knowledge and skills for working with Linux or any Unix-based environment.

The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Aaron Jones, Christopher Kruger, Benjamin Johnston

Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner.The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding.As you progress, you’ll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you’ll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area.By the end of this book, you’ll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights.

Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition

Serg Masís, Aleksander Molak, Denis Rothman

Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models.Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps.In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability.By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.

AWS SysOps Cookbook. Practical recipes to build, automate, and manage your AWS-based cloud environments - Second Edition

Eric Z. Beard, Rowan Udell, Lucas Chan

AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment.You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You’ll then learn to provision storage volumes and autoscale an app server. Next, you’ll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you’ll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads.By the end of this book, you’ll have the skills to effectively administer your AWS environment.