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Podcasts
Ashish M Kothekar, Sandeep Patil
This comprehensive guide to QRadar will help you build an efficient security operations center (SOC) for threat hunting and need-to-know software updates, as well as understand compliance and reporting and how IBM QRadar stores network data in real time.The book begins with a quick introduction to QRadar components and architecture, teaching you the different ways of deploying QRadar. You’ll grasp the importance of being aware of the major and minor upgrades in software and learn how to scale, upgrade, and maintain QRadar. Once you gain a detailed understanding of QRadar and how its environment is built, the chapters will take you through the features and how they can be tailored to meet specifi c business requirements. You’ll also explore events, flows, and searches with the help of examples. As you advance, you’ll familiarize yourself with predefined QRadar applications and extensions that successfully mine data and find out how to integrate AI in threat management with confidence. Toward the end of this book, you’ll create different types of apps in QRadar, troubleshoot and maintain them, and recognize the current security challenges and address them through QRadar XDR.By the end of this book, you’ll be able to apply IBM QRadar SOC’s prescriptive practices and leverage its capabilities to build a very efficient SOC in your enterprise.
Associations and Correlations. Unearth the powerful insights buried in your data
Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data. This book begins by showing you how to classify your data into the four distinct types that you are likely to have in your dataset. Then, with easy-to-understand examples, you’ll learn when to use the various univariate and multivariate statistical tests. You’ll also discover what to do when your univariate and multivariate results do not match. As the book progresses, it describes why univariate and multivariate techniques should be used as a tag team, and also introduces you to the techniques of visualizing the story of your data. By the end of the book, you’ll know exactly how to select the most appropriate univariate and multivariate tests, and be able to use a single strategic framework to discover the true story of your data.
Liferay portal is the leading horizontal portal product available in the market. It was named lLeader in Gartner's Magic Quadrant for Horizontal Portals. Because of the flexibility offered by Liferay Portal for customizations, it is becoming a preferred best choice for portal implementations. Many influential sites have been implemented with or have switched to the Liferay portal. More and more Liferay developers and architects are needed in the IT industry.Liferay Portal Performance Best Practices will guide you in how to build high performing Liferay -based solutions. The book guides you on how to define the architecture of Liferay- based solutions to meet performance expectations. You will learn how to fine- tune the Liferay portal using configuration changes or applying the right caching strategy. By the time you finish reading, you will realize that you know all the essential best practices to improve the performance of the Liferay portal solution. The book comprises of Liferay portal performance best practices related to various aspects. It starts with the architecture and design best practices and ends with performance tuning and lLoad testing best practices.The book follows the logical flow. In the first chapter it talks about various architectural options and best practices. It also talks about the consequences of various architectural options. It talks about how to configure the Liferay portal to work in a clustered environment. It discusses the various options available in a cluster configuration. The book further talks about various configuration options of different components that are available for improving performance. The book also talks about various development best practices. It concludes with best practices related to load testing and a performance tuning exercise.Liferay Portal Performance Best Practices explains performance best practices with real examples and samples. By the end of this book, the reader will have learned everything he/she needs to know about Liferay portal performance best practices.
As Kubernetes (or K8s) becomes more prolific, managing large clusters at scale in a multi-cloud environment becomes more challenging – especially from a developer productivity and operational efficiency point of view. DevSecOps in Practice with VMware Tanzu addresses these challenges by automating the delivery of containerized workloads and controlling multi-cloud Kubernetes operations using Tanzu tools.This comprehensive guide begins with an overview of the VMWare Tanzu platform and discusses its tools for building useful and secure applications using the App Accelerator, Build Service, Catalog service, and API portal. Next, you’ll delve into running those applications efficiently at scale with Tanzu Kubernetes Grid and Tanzu Application Platform. As you advance, you’ll find out how to manage these applications, and control, observe, and connect them using Tanzu Mission Control, Tanzu Observability, and Tanzu Service Mesh. Finally, you’ll explore the architecture, capabilities, features, installation, configuration, implementation, and benefits of these services with the help of examples.By the end of this VMware book, you’ll have gained a thorough understanding of the VMWare Tanzu platform and be able to efficiently articulate and solve real-world business problems.
Before Rust, blockchain developers didn’t have a systems programming language that was type-safe, fast, and, at the same time, had stable and easy memory management. Rust proved to be a boon for developers and works as the perfect solution for not only blockchain and protocol development but also dApp development.Rust for Blockchain Application Development focuses on demonstrating solutions that can help blockchain developers productize decentralized applications using Rust, which is a complex language with a steep learning curve.This book starts with basic Rust language concepts and then builds on these concepts to enable you to develop your own blockchain from scratch. As you progress, you’ll learn how to build dApps on popular chains like Solana and NEAR. You’ll also be guided through creating Ethereum dApps using Foundry (Rust). Finally, you’ll develop a custom blockchain using Substrate by Parity (Polkadot). The book provides a complete 360-degree view of Rust in the blockchain ecosystem.By the end of this Rust book, you’ll have a thorough understanding of how to apply your Rust knowledge to building dApps and blockchains from scratch.
Zhenya Antić, Saurabh Chakravarty
Harness the power of Natural Language Processing to overcome real-world text analysis challenges with this recipe-based roadmap written by two seasoned NLP experts with vast experience transforming various industries with their NLP prowess.You’ll be able to make the most of the latest NLP advancements, including large language models (LLMs), and leverage their capabilities through Hugging Face transformers. Through a series of hands-on recipes, you’ll master essential techniques such as extracting entities and visualizing text data. The authors will expertly guide you through building pipelines for sentiment analysis, topic modeling, and question-answering using popular libraries like spaCy, Gensim, and NLTK. You’ll also learn to implement RAG pipelines to draw out precise answers from a text corpus using LLMs.This second edition expands your skillset with new chapters on cutting-edge LLMs like GPT-4, Natural Language Understanding (NLU), and Explainable AI (XAI)—fostering trust and transparency in your NLP models.By the end of this book, you'll be equipped with the skills to apply advanced text processing techniques, use pre-trained transformer models, build custom NLP pipelines to extract valuable insights from text data to drive informed decision-making.