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Bresnahan Christine: LPIC-1 Linux
Professional Institute Certification St

LPIC-1 Linux Professional Institute Certification Study Guide

Exam 101-500 and Exam 102-500

Eleventh Hour CISSP®: Study Guide, Fourth Edition provides a study guide keyed directly to the most current version of the CISSP exam. This streamlined book includes only core certification information, making it ideal for last-minute studying. The main objectives of the exam are covered concisely, with key concepts highlighted. The CISSP certification is the most prestigious, globally-recognized, vendor neutral exam for information security professionals. Over 100,000 professionals are certified worldwide with many more joining their ranks. All eight domains are covered completely and concisely, giving readers the best possible chance of acing the exam. This new edition is aligned to cover all of the material in the most current version of the exam's Common Body of Knowledge.

Study Guide

Eleventh Hour CISSP®

There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future. Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career. Whether you're a data engineer, data analyst, or machine learning engineer, you'll discover in-depth guidance, practical exercises, sample questions, and expert advice needed to leverage AWS services effectively and achieve certification. <ul> <li>Ingest, transform, and orchestrate data pipelines effectively</li> <li>Select the ideal data store, design efficient data models, and manage data lifecycles</li> <li>Analyze data rigorously and maintain high data quality standards</li> <li>Implement robust authentication, authorization, and data governance protocols</li> <li>Prepare thoroughly for the DEA-C01 exam with targeted strategies and practices</li> </ul>

In-Depth Guidance and Practice

AWS Certified Data Engineer Associate Study Guide

Sybex Study Guide

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam - quickly and efficiently - with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for: <ul><li>Data Ingestion and Transformation</li><li>Data Store Management</li><li>Data Operations and Support</li><li>Data Security and Governance</li></ul> ABOUT THE AWS DATA ENGINEER - ASSOCIATE CERTIFICATION The AWS Data Engineer - Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices Interactive learning environment Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: ¿ Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. ¿ 100 electronic flashcards to reinforce learning and last-minute prep before the exam ¿ Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Associate (DEA-C01) Exam

AWS Certified Data Engineer Study Guide

Das Handbuch für Administratoren

Samba 4

This extensively expanded third edition offers a practical introduction to Bio Data Science. With a hands-on approach to learning, this book offers ample opportunities to practice:- Installing and utilizing Linux as a virtual machine or remotely 
- Processing bio data with the programming language AWK 
- Managing data with the relational database system MariaDB 
- Analyzing and visualizing data with R 
- Implementing good bioinformatics practices with Jupyter Notebook and GitHubThis book targets both students and professionals in the life sciences. While it is aimed at beginners, it also provides valuable tips and tricks for experienced researchers dealing with large datasets.&nbsp;Worked examples illustrate how to utilize various bioinformatics tools such as BLAST, Clustal, PLINK, IGV, SAMtools, BCFtools, Mason2, Minimap, NCBI Datasets, Velvet, Jmol, and more for:- Identifying bacterial proteins potentially associated with pathogenicity 
- Querying molecular structures for redox-regulated enzymes 
- Mapping and assembling real or simulated sequence reads 
- Identifying and mapping molecular structure mutations in viruses 
- Conducting genome-wide association studiesAll software tools and datasets mentioned are freely available, and all code is accessible as Jupyter Notebooks on GitHub. Drawing from the author's experiences and knowledge gained from both academia and industry, this book provides a practical and comprehensive approach to bioinformatics.&nbsp;

A Practical Introduction to Bio Data Juggling with Worked Examples

Computational Biology

Supercomputers and High Performance Computing (HPC) clusters are not so exotic as people imagine these days. They give companies the power of computation like no one server can give alone.&nbsp; They make new drugs and materials discoveries, universe modeling and AI training, crash simulations and market research possible – all thanks to HPC clusters. Building or renting a HPC cluster is not so difficult either as cloud providers can give you resources to build one cheap and performative enough to use yourself, so If you are or want to become HPC cluster Sysadmin or manager, this book is for you.
Supercomputers for Linux SysAdmins delves into the world of modern HPC cluster architecture, hardware, software and resources management using a Linux/UNIX based approach. The number of HPC clusters is growing with an estimated 30 billion by 2030 but there are not enough sysadmins to run and manage them, this book serves to bridge this gap to help more Sysadmins and managers to transition into the exiting world of HPCs.&nbsp;
This book helps those with a strong foundational knowledge in Linux, to deal with supercomputers and HPC clusters. We start with the basic principles of supercomputer management, fundamentals of Linux and UNIX, Shell Scripting and systemd and well as other open source tools and frameworks, taking you thorough the security, monitoring and hardware requirements for supercomputers and HPC clusters.
You Will Learn:
<ul>
<li>How to plan new supercomputers</li>
<li>The main principles and technologies used in supercomputers and HPC clusters</li>
<li>How to set up the&nbsp;software environments on&nbsp;new supercomputers&nbsp;</li>
<li>To set up supercomputer and HPC cluster&nbsp;resources and jobs management</li>
<li>To manage accounts, resource sharing and many more.</li>
</ul>

Managing Modern HPC Clusters and Supercomputers from Software to Hardware

Supercomputers for Linux SysAdmins

Learn to write real Linux software—not just run it. Most programmers never learn how Linux really works. Why? Because system programming is rarely taught, and the tools can be intimidating without the right guidance. As a result, many developers stick to high-level languages and frameworks—writing code that runs on Linux without understanding how it interacts with Linux. In today’s world, that’s not enough to stand out. Especially as more companies turn to AI to write their software, the question becomes: How do you stay relevant in an AI-driven world? You learn how things really work. If you’ve ever wondered how processes are created, how memory and files are managed, or how programs communicate in a Unix environment, System Programming in Linux will make it all make sense. This is a hands-on guide to writing software that interfaces directly with the Linux operating system. You’ll go beyond shell commands and abstractions to understand what the kernel is doing—and how to leverage it through your own code. Rather than telling you how to solve each problem, Professor Stewart N. Weiss guides you through the process of discovering the solution yourself. Start with the core concepts of Unix and Linux, then work your way up to advanced topics like process control, signals, interprocess communication, threading, and non-blocking I/O. Each chapter includes conceptual diagrams, annotated source code, and practical projects to help you immediately apply what you’ve learned. You’ll explore topics such as: <ul><li>The structure of Unix and Linux operating systems—and why it matters</li><li>Using system calls to create and manage processes</li><li>The mechanics of signals, timers, and interprocess communication</li><li>Using synchronization tools to write multithreaded programs</li><li>Interacting with filesystems, devices, and terminals</li><li>Building text-based user interfaces using ncurses</li><li>Developing programs that are robust, efficient, and portable</li></ul> At Hunter College, Professor Weiss built the course this book is based on, and he has helped thousands of students go from confusion to confidence in his over 40 years of teaching programming. His clear, conversational style; technical depth; and focus on real-world application make this one of the most approachable and powerful system programming books available. As Linux continues to dominate development, server, and embedded environments, understanding the system behind your software isn’t just helpful; it’s essential. Whether you’re a student, developer, or sysadmin, this book gives you the tools to work directly with Linux and the insight to understand what’s really happening under the hood.

A Hands-On Introduction

System Programming in Linux

If you're looking to build, deploy, and scale AI solutions with confidence, Practical RHEL AI is the guide you need. Whether you're an AI developer, data scientist, or DevOps engineer, this book walks you through the entire process—from setting up your AI development environment to optimizing and securing enterprise-scale AI workloads on Red Hat Enterprise Linux.You'll start with the essentials: installation, configuration, and leveraging powerful machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Then, you’ll dive into the tools that make AI deployment seamless—GPU acceleration, containerization, and cloud integration with AWS and Azure.Security and compliance are non-negotiable in AI, and this book makes sure you get them right. Learn how to protect your models with encryption, implement role-based access control (RBAC), and meet industry standards like GDPR and HIPAA. You’ll also master AI workload monitoring with Prometheus and Grafana, troubleshoot common issues, and automate deployments with Ansible.&nbsp;However, theory only gets you so far—real-world applications make the difference. Through hands-on examples and case studies in healthcare, finance, and manufacturing, you’ll see how RHEL AI powers innovation in the field. Plus, you'll get insights into the future of AI, including Explainable AI (XAI), Edge AI, and AI governance.&nbsp;With Practical RHEL AI, you’re not just learning AI—you’re building AI solutions that scale.You Will:<ul><li>Learn to Install and Configure RHEL AI to optimize machine learning workloads</li><li>Understand how to train and Deploy AI models using TensorFlow, PyTorch, and Scikit-learn</li><li>Explore how to Integrate and Implement GPU acceleration, cloud computing, and containerization for scalable AI solutions</li><li>Learn to Secure and Evaluate AI workloads with encryption, RBAC, and compliance best practices</li></ul>

Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux

Practical RHEL AI

This book is aimed at addressing the needs of individuals interested in a comprehensive understanding of TOGAF. The contents of the book follow the recommended Table of Contents and are at the right level of depth as recommended by The Open Group for both the levels of Certifications.

Study Guide for TOGAF 9.1 Certifications

Discover a smarter and faster way to prep for the Google Professional Cloud Database Engineer certification exam In the Google Cloud Certified Professional Cloud Database Engineer Study Guide, recognized Cloud and AI leader Jake Holmquist walks you through the recently released Google Professional Cloud Database Engineer certification exam. This Sybex Study Guide provides 100% coverage of every tested domain competency, from capacity and usage planning to cloud database migrations, applications, access management, backup and recovery, monitoring, and more-everything you need to design and build scalable and highly available cloud database solutions. Whether you are looking to grow your career or position yourself for real-world success at your first job as a Google Cloud database practitioner, the author explains how to succeed on the challenging exam on your first attempt. In the book, you'll find: <ul> <li>Hundreds of practice questions-complete with answers and answer explanations-to help you prepare for the test</li> <li>Coverage of critical database subject areas you'll need to understand to design, create, manage, and troubleshoot Google Cloud databases</li> <li>One year of complimentary access to the Sybex online test bank and learning environment, complete with chapter review questions, a practice exam, digital flashcards, and a searchable key term glossary</li> </ul> Perfect for anyone planning on taking the Google Professional Database Engineer certification exam, the Google Cloud Certified Professional Cloud Database Engineer Study Guide is also a must-read for practicing database professionals hoping to refresh their knowledge or seeking a practical desk reference.

Google Cloud Certified Professional Cloud Database Engineer Study Guide

You've experienced the shiny, point-and-click surface of your Linux computer—now dive below and explore its depths with the power of the command line. The Linux Command Line takes you from your very first terminal keystrokes to writing full programs in Bash, the most popular Linux shell (or command line). Along the way you'll learn the timeless skills handed down by generations of experienced, mouse-shunning gurus: file navigation, environment configuration, command chaining, pattern matching with regular expressions, and more. In addition to that practical knowledge, author William Shotts reveals the philosophy behind these tools and the rich heritage that your desktop Linux machine has inherited from Unix supercomputers of yore. As you make your way through the book's short, easily-digestible chapters, you'll learn how to: <ul><li>Create and delete files, directories, and symlinks</li><li>Administer your system, including networking, package installation, and process management</li><li>Use standard input and output, redirection, and pipelines</li><li>Edit files with Vi, the world's most popular text editor</li><li>Write shell scripts to automate common or boring tasks</li><li>Slice and dice text files with cut, paste, grep, patch, and sed</li></ul> Once you overcome your initial "shell shock," you'll find that the command line is a natural and expressive way to communicate with your computer. Just don't be surprised if your mouse starts to gather dust.

A Complete Introduction

The Linux Command Line, 3rd Edition

Master the tools. Build the workflow. Own the shell. Effective Shell is the hands-on guide for developers who want to master the command line—not just to get around, but to build a fast, flexible, and portable development environment. This isn’t a tour of shell commands. It’s a blueprint for creating workflows that scale across machines, teams, and projects. You’ll go from keystroke-level efficiency to composing powerful pipelines, writing reliable scripts, and automating common development tasks. Then you’ll take it further: managing your configuration with Git, customizing your shell setup, and working seamlessly across remote sessions using tools like Vim and tmux. By the end, your shell won’t just be a tool; it’ll be an extension of your thinking. You’ll learn how to: <ul><li>Find, filter, and reshape data using grep, regular expressions, and shell pipelines</li><li>Write scripts that automate setup, configuration, and repetitive tasks</li><li>Create Python-based CLI tools to pull and process structured data</li><li>Manage your environment with Git and version-controlled dot files</li><li>Edit quickly with Vim and multitask efficiently using terminal multiplexers</li><li>Use AI tools to generate commands, debug faster, and enhance automation</li></ul> Rather than prescribing a one-size-fits-all toolkit, Effective Shell teaches you the tools, practices, and strategies to build a shell environment that fits the way you work—efficient, portable, and entirely yours. Whether you’re leveling up from the basics or refining your craft, this book will help you think clearly, automate confidently, and work more effectively in the shell.

A Practical User's Guide to Working Smarter on the Command Line

Effective Shell

LPIC-1 Linux Professional Institute Certification Study Guide

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