CompTIA CASP+ CAS-004 Certification Guide. Develop CASP+ skills and learn all the key topics needed to prepare for the certification exam

Mark Birch

CompTIA Advanced Security Practitioner (CASP+) ensures that security practitioners stay on top of the ever-changing security landscape. The CompTIA CASP+ CAS-004 Certification Guide offers complete, up-to-date coverage of the CompTIA CAS-004 exam so you can take it with confidence, fully equipped to pass on the first attempt.Written in a clear, succinct way with self-assessment questions, exam tips, and mock exams with detailed explanations, this book covers security architecture, security operations, security engineering, cryptography, governance, risk, and compliance. You'll begin by developing the skills to architect, engineer, integrate, and implement secure solutions across complex environments to support a resilient enterprise. Moving on, you'll discover how to monitor and detect security incidents, implement incident response, and use automation to proactively support ongoing security operations. The book also shows you how to apply security practices in the cloud, on-premises, to endpoints, and to mobile infrastructure. Finally, you'll understand the impact of governance, risk, and compliance requirements throughout the enterprise.By the end of this CASP study guide, you'll have covered everything you need to pass the CompTIA CASP+ CAS-004 certification exam and have a handy reference guide.

Instant Getting Started with VMware Fusion. Learn everything you need to know to get started with VMware Fusion

Michael Roy

Running Windows on your Mac can seem complicated, but this book will make things easy by showing you how to get the most out of VMware Fusion. Having a virtual copy of Windows on your Mac can let you make a secure backup of your files and run Windows applications, which makes your computer more versatile.This book will show you how to start running Windows on your Mac, with practical examples of how to keep your Virtual Machine secure, backed up, and running smoothly. You will learn about the new features of VMware Fusion 6 and where to get help and support for the software when you need it.This book will walk you through what you need to know to safely and securely run Windows on your Mac. It then proceeds to show you how to upgrade to Windows 8, and shows you how you can seamlessly switch between Windows 7 and Windows 8 using snapshots. Next, it covers all that you need to know to safely and securely run Windows on a Mac computer with Intel processors. You will also learn how to manage your Virtual Machine backups and keep your VM safe.The recipes in this book will give you a helpful head start in getting the most out of VMware Fusion 6.

AWS Certified Developer - Associate Guide. Your one-stop solution to passing the AWS developer's 2019 (DVA-C01) certification - Second Edition

Vipul Tankariya, Bhavin Parmar

This book will focus on the revised version of AWS Certified Developer Associate exam. The 2019 version of this exam guide includes all the recent services and offerings from Amazon that benefits developers. AWS Certified Developer - Associate Guide starts with a quick introduction to AWS and the prerequisites to get you started. Then, this book will describe about getting familiar with Identity and Access Management (IAM) along with Virtual private cloud (VPC). Next, this book will teach you about microservices, serverless architecture, security best practices, advanced deployment methods and more. Going ahead we will take you through AWS DynamoDB A NoSQL Database Service, Amazon Simple Queue Service (SQS) and CloudFormation Overview. Lastly, this book will help understand Elastic Beanstalk and will also walk you through AWS lambda.At the end of this book, we will cover enough topics, tips and tricks along with mock tests for you to be able to pass the AWS Certified Developer - Associate exam and develop as well as manage your applications on the AWS platform.

Hadoop Cluster Deployment. Construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently

Danil Zburvisky

Big Data is the hottest trend in the IT industry at the moment. Companies are realizing the value of collecting, retaining, and analyzing as much data as possible. They are therefore rushing to implement the next generation of data platform, and Hadoop is the centerpiece of these platforms.This practical guide is filled with examples which will show you how to successfully build a data platform using Hadoop. Step-by-step instructions will explain how to install, configure, and tie all major Hadoop components together. This book will allow you to avoid common pitfalls, follow best practices, and go beyond the basics when building a Hadoop cluster.This book will walk you through the process of building a Hadoop cluster from the ground up. By using practical examples and command samples, you will be able to get a cluster up and running in no time, and you will also gain a deep understanding of how various Hadoop components work and interact with each other.You will learn how to pick the right hardware for different types of Hadoop clusters and about the differences between various Hadoop distributions. By the end of this book, you will be able to install and configure several of the most popular Hadoop ecosystem projects including Hive, Impala, and Sqoop, and you will also be given a sneak peek into the pros and cons of using Hadoop in the cloud.

Operationalizing Threat Intelligence. A guide to developing and operationalizing cyber threat intelligence programs

Kyle Wilhoit, Joseph Opacki

We’re living in an era where cyber threat intelligence is becoming more important. Cyber threat intelligence routinely informs tactical and strategic decision-making throughout organizational operations. However, finding the right resources on the fundamentals of operationalizing a threat intelligence function can be challenging, and that’s where this book helps.In Operationalizing Threat Intelligence, you’ll explore cyber threat intelligence in five fundamental areas: defining threat intelligence, developing threat intelligence, collecting threat intelligence, enrichment and analysis, and finally production of threat intelligence. You’ll start by finding out what threat intelligence is and where it can be applied. Next, you’ll discover techniques for performing cyber threat intelligence collection and analysis using open source tools. The book also examines commonly used frameworks and policies as well as fundamental operational security concepts. Later, you’ll focus on enriching and analyzing threat intelligence through pivoting and threat hunting. Finally, you’ll examine detailed mechanisms for the production of intelligence.By the end of this book, you’ll be equipped with the right tools and understand what it takes to operationalize your own threat intelligence function, from collection to production.

Microsoft Power BI Cookbook. Convert raw data into business insights with updated techniques, use cases, and best practices - Third Edition

Greg Deckler, Brett Powell

Since its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform.In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics.This edition not only updates you on the latest features but also prepares you for future innovations with a preview of upcoming AI enhancements in Power BI. Whether you're refining your skills or aspiring to become an expert, this book is an invaluable resource for leveraging Power BI to its fullest potential

Essential Guide to LLMOps. Implementing effective strategies for Large Language Models in deployment and continuous improvement

Ryan Doan

The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications.This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications.By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI.

Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition

Eyal Wirsansky

Written by Eyal Wirsansky, a senior data scientist and AI researcher with over 25 years of experience and a research background in genetic algorithms and neural networks, Hands-On Genetic Algorithms with Python offers expert insights and practical knowledge to master genetic algorithms.After an introduction to genetic algorithms and their principles of operation, you’ll find out how they differ from traditional algorithms and the types of problems they can solve, followed by applying them to search and optimization tasks such as planning, scheduling, gaming, and analytics. As you progress, you’ll delve into explainable AI and apply genetic algorithms to AI to improve machine learning and deep learning models, as well as tackle reinforcement learning and NLP tasks. This updated second edition further expands on applying genetic algorithms to NLP and XAI and speeding up genetic algorithms with concurrency and cloud computing. You’ll also get to grips with the NEAT algorithm. The book concludes with an image reconstruction project and other related technologies for future applications.By the end of this book, you’ll have gained hands-on experience in applying genetic algorithms across a variety of fields, with emphasis on artificial intelligence with Python.