Unleash the Full Potential of Apache Web Server for Powerful Web Hosting and Applications Are you ready to dive into the world of web hosting and application deployment using the versatile Apache web server? "Mastering Apache" is your comprehensive guide to mastering the art of configuring, managing, and optimizing Apache for peak performance. Whether you're a system administrator responsible for web server operations or a developer seeking insights into Apache's capabilities, this book equips you with the knowledge and tools to build resilient and high-performance web solutions. Key Features: 1. Deep Dive into Apache: Immerse yourself in the core principles of the Apache web server, understanding its architecture, modules, and functionalities. Build a solid foundation that empowers you to manage web hosting environments with confidence. 2. Installation and Configuration: Master the art of installing and configuring Apache on various platforms. Learn about virtual hosts, security settings, and optimization configurations to ensure a secure and efficient web environment. 3. Web Application Deployment: Uncover strategies for deploying web applications on Apache. Explore techniques for configuring virtual hosts, managing application resources, and optimizing performance for seamless user experiences. 4. Load Balancing and Scalability: Discover methods for load balancing and scaling applications hosted on Apache. Learn how to distribute incoming traffic, ensure high availability, and optimize resources to accommodate growing user demands. 5. Security and Access Control: Explore security features and best practices in Apache. Learn how to implement SSL certificates, authentication mechanisms, and access controls to protect web applications and sensitive data. 6. Performance Tuning and Optimization: Delve into techniques for fine-tuning Apache performance. Learn about caching, compression, request handling, and optimizing server settings to deliver fast and responsive web experiences. 7. URL Rewriting and Redirection: Uncover the power of URL rewriting and redirection in Apache. Learn how to create SEO-friendly URLs, manage redirection rules, and enhance user navigation. 8. Logging and Monitoring: Master the art of monitoring and logging in Apache. Discover tools and techniques for tracking server performance, analyzing access logs, and troubleshooting issues for a well-maintained web environment. 9. Apache and Dynamic Content: Explore Apache's capabilities with dynamic content. Learn how to integrate Apache with PHP, Python, and other scripting languages for dynamic web applications. 10. Real-World Scenarios: Gain insights into real-world use cases of Apache across industries. From hosting websites to deploying web applications, explore how organizations leverage Apache to deliver robust and performant web solutions. Who This Book Is For: "Mastering Apache" is an essential resource for system administrators, web developers, and IT professionals tasked with managing and optimizing web hosting environments. Whether you're seeking a comprehensive understanding of Apache or looking to enhance your existing skills, this book will guide you through the intricacies and empower you to harness the full potential of the Apache web server.

A comprehensive tutorial on how to use the power of Velocity 1.3 tobuild Web sites and generate content Designed to work hand-in-hand with Apache Turbine, Struts, andservlets, Velocity is a powerful template language that greatlyenhances the developer's ability to customize Web sites. Itseparates Java code from the Web pages, making a site moremaintainable. Because of this, it is a viable alternative to JSPsand PHP and is expected to become the standard template engine. Inaddition to its use with Struts and Turbine, Velocity can also beused to generate Java and XML source code, XML schemas, HTMLtemplates, and SQL code. Even with all its promise, finding expert instructions on how toproperly program with this language has been difficult. Thiscode-intensive tutorial gives you all the tools you'll need. It begins by quickly bringing you up to speed on all of theVelocity fundamentals and the Velocity Template Language. You'llthen learn how to apply Velocity in a variety of areas with thehelp of richly detailed code examples. Additionally, you'll betaken through the steps of building a complete application in orderto see how you can utilize all of the techniques and technologiesdiscussed in the book. Covering the latest features of Velocity1.3, Mastering Apache Velocity shows you how to: * Build Java-based Web sites with Struts, servlets, Turbine, andother open-source tools * Generate a wide variety of Web content and code, including Java,XML, SQL, and Postgres

Gain expertise in processing and storing data by using advanced techniques with Apache SparkAbout This Book- Explore the integration of Apache Spark with third party applications such as H20, Databricks and Titan- Evaluate how Cassandra and Hbase can be used for storage- An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalitiesWho This Book Is ForIf you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected.What You Will Learn- Extend the tools available for processing and storage- Examine clustering and classification using MLlib- Discover Spark stream processing via Flume, HDFS- Create a schema in Spark SQL, and learn how a Spark schema can be populated with data- Study Spark based graph processing using Spark GraphX- Combine Spark with H20 and deep learning and learn why it is useful- Evaluate how graph storage works with Apache Spark, Titan, HBase and Cassandra- Use Apache Spark in the cloud with Databricks and AWSIn DetailApache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations.This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The book commences with an overview of the Spark eco-system. You will learn how to use MLlib to create a fully working neural net for handwriting recognition. You will then discover how stream processing can be tuned for optimal performance and to ensure parallel processing. The book extends to show how to incorporate H20 for machine learning, Titan for graph based storage, Databricks for cloud-based Spark. Intermediate Scala based code examples are provided for Apache Spark module processing in a CentOS Linux and Databricks cloud environment.Style and approachThis book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.

Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto

Master the intricacies of Apache Storm and develop real-time stream processing applications with ease About This Book Exploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka An easy-to-understand guide to effortlessly create distributed applications with Storm Who This Book Is For If you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm, then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book, you will be able to develop not-so-complex Storm applications. What You Will Learn Understand the core concepts of Apache Storm and real-time processing Follow the steps to deploy multiple nodes of Storm Cluster Create Trident topologies to support various message-processing semantics Make your cluster sharing effective using Storm scheduling Integrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more Monitor the health of your Storm cluster In Detail Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm. The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You'll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we'll introduce you to Trident and you'll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm. With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs. Style and approach This easy-to-follow guide is full of examples and real-world applications to help you get an in-depth understanding of Apache Storm. This book covers the basics thoroughly and also delves into the intermediate and slightly advanced concepts of application development with Apache Storm.

If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Empower Your Data Workflow Orchestration and Automation Are you ready to embark on a journey into the world of data workflow orchestration and automation with Apache Airflow? "Mastering Apache Airflow" is your comprehensive guide to harnessing the full potential of this powerful platform for managing complex data pipelines. Whether you're a data engineer striving to optimize workflows or a business analyst aiming to streamline data processing, this book equips you with the knowledge and tools to master the art of Airflow-based workflow automation.