Download or read book Apache Cookbook written by Ken Coar and published by "O'Reilly Media, Inc.". This book was released on 2003-11-18 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apache is far and away the most widely used web server platform in the world. Both free and rock-solid, it runs more than half of the world's web sites, ranging from huge e-commerce operations to corporate intranets and smaller hobby sites, and it continues to maintain its popularity, drawing new users all the time. If you work with Apache on a regular basis, you have plenty of documentation on installing and configuring your server, but where do you go for help with the day-to-day stuff, like adding common modules or fine-tuning your activity logging?The Apache Cookbook is a collection of problems, solutions, and practical examples for webmasters, web administrators, programmers, and everyone else who works with Apache. For every problem addressed in the book, there's a worked-out solution or "recipe"--short, focused pieces of code that you can use immediately. But this book offers more than cut-and-paste code. You also get explanations of how and why the code works, so you can adapt the problem-solving techniques to similar situations.The recipes in the Apache Cookbook range from simple tasks, such installing the server on Red Hat Linux or Windows, to more complex tasks, such as setting up name-based virtual hosts or securing and managing your proxy server. The two hundred plus recipes in the book cover additional topics such as: Security Aliases, Redirecting, and Rewriting CGI Scripts, the suexec Wrapper, and other dynamic content techniques Error Handling SSL Performance The impressive collection of useful code in this book is a guaranteed timesaver for all Apache users, from novices to advanced practitioners. Instead of poking around mailing lists, online documentation, and other sources, you can rely on the Apache Cookbook for quick solutions to common problems, and then you can spend your time and energy where it matters most.
Download or read book Apache Cookbook written by Ken A. L. Coar and published by O'Reilly Media, Inc.. This book was released on 2004 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Another in the very useful O'Reilly series, which provides solutions and "how-to" advice for users of specific computer technology. The focus here is on Apache--the software that currently runs over half the web sites throughout the world--and on making Apache do exactly what is needed using the various options and "extensions" provided as part of the package (distributed by the Apache Software Foundation). Over 150 "recipes" cover broad topics such as installing the software, adding modules (e.g. perl), logging, hosting multiple sites, and handling aliases, security, dynamic content (cgi-bin), and performance. Each recipe consists of a problem, solution, and discussion, with cross-references to related recipes and web links; many require less than a page, and rarely are they more than two pages. This book should be kept close by and used as a reference as questions and problems arise. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Download or read book Apache Cookbook written by Ken Coar and published by "O'Reilly Media, Inc.". This book was released on 2008 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a collection of problems, solutions, and practical examples for webmasters, web administrators, programmers, and anyone who works with Apache.
Download or read book Apache Maven Cookbook written by Raghuram Bharathan and published by Packt Publishing Ltd. This book was released on 2015-04-28 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a Java developer or a manager who has experience with Apache Maven and want to extend your knowledge, then this is the ideal book for you. Apache Maven Cookbook is for those who want to learn how Apache Maven can be used for build automation. It is also meant for those familiar with Apache Maven, but want to understand the finer nuances of Maven and solve specific problems.
Download or read book Apache Camel Developer s Cookbook written by Scott Cranton and published by Packt Publishing Ltd. This book was released on 2013-12-26 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written in a Cookbook style with short recipes showing developers how to effectively implement EIP without breaking everything in the process. It is concise and to the point, and it helps developers get their data flowing between different components without the need to read through page upon page of theory, while also enabling the reader to learn how to create exciting new projects. Camel Enterprise Integration Cookbook is intended for developers who have some familiarity with Apache Camel and who want a quick lookup reference to practical, proven tips on how to perform common tasks. Every recipe also includes a summary and reference pointers for more details that make it easy for you to get a deeper understanding of the Apache Camel capabilities that you will use day to day.
Download or read book Apache Sqoop Cookbook written by Kathleen Ting and published by "O'Reilly Media, Inc.". This book was released on 2013-07-02 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational databases and Hadoop. Sqoop is both powerful and bewildering, but with this cookbook’s problem-solution-discussion format, you’ll quickly learn how to deploy and then apply Sqoop in your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub that you can easily adapt for SQL Server, Netezza, Teradata, or other relational systems. Transfer data from a single database table into your Hadoop ecosystem Keep table data and Hadoop in sync by importing data incrementally Import data from more than one database table Customize transferred data by calling various database functions Export generated, processed, or backed-up data from Hadoop to your database Run Sqoop within Oozie, Hadoop’s specialized workflow scheduler Load data into Hadoop’s data warehouse (Hive) or database (HBase) Handle installation, connection, and syntax issues common to specific database vendors
Download or read book Apache Hive Cookbook written by Hanish Bansal and published by Packt Publishing Ltd. This book was released on 2016-04-29 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world About This Book Grasp a complete reference of different Hive topics. Get to know the latest recipes in development in Hive including CRUD operations Understand Hive internals and integration of Hive with different frameworks used in today's world. Who This Book Is For The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required What You Will Learn Learn different features and offering on the latest Hive Understand the working and structure of the Hive internals Get an insight on the latest development in Hive framework Grasp the concepts of Hive Data Model Master the key concepts like Partition, Buckets and Statistics Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc In Detail Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks. Style and approach Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.
Download or read book Apache written by Ben Laurie and published by "O'Reilly Media, Inc.". This book was released on 2003 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the history of the Web server platform and covers downloading and compiling, configuring and running the program on UNIX, writing specialized modules, and establishing security routines.
Download or read book Apache Maven 3 Cookbook written by Srirangan and published by Packt Pub Limited. This book was released on 2011 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-detailed Cookbook takes you step by step, doing one task at a time with the latest version of Apache Maven 3. You will find this Cookbook an answer to almost all your needs for building high-quality Java applications with well-explained code and many illustrations to quicken up your learning. If you're a Java developer, it will arm you with all the critical information you need to get to grips with Maven 3, the latest version of the powerful build tool by Apache. This book is for Java developers, teams, and managers who want to implement Apache Maven in their development process, leveraging the software engineering best practices and agile team collaboration techniques it brings along. The book is also specifically for the developer who wishes to get started in Apache Maven and use it with a range of emergent and enterprise technologies including Enterprise Java, Frameworks, Google App Engine, Android, and Scala.
Download or read book Apache OfBiz Cookbook written by Ruth Hoffman and published by Packt Publishing Ltd. This book was released on 2010-09-07 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 simple but incredibly effective recipes for taking control of OFBiz.
Download or read book Apache Kafka 1 0 Cookbook written by Raúl Estrada and published by Packt Publishing Ltd. This book was released on 2017-12-22 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simplify real-time data processing by leveraging the power of Apache Kafka 1.0 About This Book Use Kafka 1.0 features such as Confluent platforms and Kafka streams to build efficient streaming data applications to handle and process your data Integrate Kafka with other Big Data tools such as Apache Hadoop, Apache Spark, and more Hands-on recipes to help you design, operate, maintain, and secure your Apache Kafka cluster with ease Who This Book Is For This book is for developers and Kafka administrators who are looking for quick, practical solutions to problems encountered while operating, managing or monitoring Apache Kafka. If you are a developer, some knowledge of Scala or Java will help, while for administrators, some working knowledge of Kafka will be useful. What You Will Learn Install and configure Apache Kafka 1.0 to get optimal performance Create and configure Kafka Producers and Consumers Operate your Kafka clusters efficiently by implementing the mirroring technique Work with the new Confluent platform and Kafka streams, and achieve high availability with Kafka Monitor Kafka using tools such as Graphite and Ganglia Integrate Kafka with third-party tools such as Elasticsearch, Logstash, Apache Hadoop, Apache Spark, and more In Detail Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have. Style and approach Following a cookbook recipe-based approach, we'll teach you how to solve everyday difficulties and struggles you encounter using Kafka through hands-on examples.
Download or read book Mod perl Developer s Cookbook written by Geoffrey Young and published by Sams Publishing. This book was released on 2002 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: A task-based reference that will provide experienced developers with useful recipes and easy-to-follow solutions to common problems when using mod_perl in Web applications. The first mod_perl cookbook, containing valuable recipes that use mod_perl to extend the Apache API. with tricks, solutions, and idioms .
Download or read book Apache written by Ed Macy and published by Open Road + Grove/Atlantic. This book was released on 2010-05-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: “A truly amazing portrayal of the technical, the emotional, and the courageous. Macy puts the reader in the cockpit of our most lethal attack platform.” —Dick Couch, New York Times–bestselling author Apache is the incredible true story of Ed Macy, a decorated Apache helicopter pilot, that takes you inside one of the world’s most dangerous war machines. A firsthand account of the exhilaration and ferocity of war, Apache chronicles a rescue mission involving a stranded soldier in Afghanistan in 2007. Ed Macy had always dreamed of a career in the army, so when the British Army Air Corps launched its attack helicopter program, Macy bent every rule in the book to make sure he was the first to sign up to fly the Apache—the deadliest, most technically advanced helicopter in the world and the toughest to fly. In 2007, Macy’s Apache squadron was dispatched to Afghanistan’s notorious Helmand Province with the mission to fight alongside and protect the men on the ground by any means necessary. When a marine goes missing in action, Macy and his team know they are the Army’s only hope of bringing him back alive. Apache is Macy’s story—an adrenalin-fueled account of one of the most daring actions of modern wartime, and a tale of courage, danger, and comradeship you won’t be able to put down. “A fantastic, totally exhilarating roller-coaster read.” —Sgt. Maj. Dan Mills, author of Sniper One
Download or read book Apache Kafka Cookbook written by Saurabh Minni and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 50 hands-on recipes to efficiently administer, maintain, and use your Apache Kafka installationAbout This Book- Quickly configure and manage your Kafka cluster- Learn how to use the Apache Kafka cluster and connect it with tools for big data processing- A practical guide to monitor your Apache Kafka installationWho This Book Is ForIf you are a programmer or big data engineer using or planning to use Apache Kafka, then this book is for you. This book has several recipes which will teach you how to effectively use Apache Kafka. You need to have some basic knowledge of Java. If you don't know big data tools, this would be your stepping stone for learning how to consume the data in these kind of systems.What You Will Learn- Learn how to configure Kafka brokers for better efficiency- Explore how to configure producers and consumers for optimal performance- Set up tools for maintaining and operating Apache Kafka- Create producers and consumers for Apache Kafka in Java- Understand how Apache Kafka can be used by several third party system for big data processing, such as Apache Storm, Apache Spark, Hadoop, and more- Monitor Apache Kafka using tools like graphite and GangliaIn DetailThis book will give you details about how to manage and administer your Apache Kafka Cluster.We will cover topics like how to configure your broker, producer, and consumer for maximum efficiency for your situation. Also, you will learn how to maintain and administer your cluster for fault tolerance. We will also explore tools provided with Apache Kafka to do regular maintenance operations. We shall also look at how to easily integrate Apache Kafka with big data tools like Hadoop, Apache Spark, Apache Storm, and Elasticsearch.Style and approachEasy-to-follow, step-by-step recipes explaining from start to finish how to accomplish real-world tasks.
Download or read book Spark Cookbook written by Rishi Yadav and published by Packt Publishing Ltd. This book was released on 2015-07-27 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: By introducing in-memory persistent storage, Apache Spark eliminates the need to store intermediate data in filesystems, thereby increasing processing speed by up to 100 times. This book will focus on how to analyze large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster managers, you will cover setting up development environments. You will then cover various recipes to perform interactive queries using Spark SQL and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will then focus on machine learning, including supervised learning, unsupervised learning, and recommendation engine algorithms. After mastering graph processing using GraphX, you will cover various recipes for cluster optimization and troubleshooting.
Download or read book Apache Solr 4 Cookbook written by Rafał Kuć and published by Packt Publishing. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 100 practical recipes to make Apache Solr faster, more reliable and return better results.
Download or read book Apache Spark for Data Science Cookbook written by Padma Priya Chitturi and published by Packt Publishing Ltd. This book was released on 2016-12-22 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book Use Apache Spark for data processing with these hands-on recipes Implement end-to-end, large-scale data analysis better than ever before Work with powerful libraries such as MLLib, SciPy, NumPy, and Pandas to gain insights from your data Who This Book Is For This book is for novice and intermediate level data science professionals and data analysts who want to solve data science problems with a distributed computing framework. Basic experience with data science implementation tasks is expected. Data science professionals looking to skill up and gain an edge in the field will find this book helpful. What You Will Learn Explore the topics of data mining, text mining, Natural Language Processing, information retrieval, and machine learning. Solve real-world analytical problems with large data sets. Address data science challenges with analytical tools on a distributed system like Spark (apt for iterative algorithms), which offers in-memory processing and more flexibility for data analysis at scale. Get hands-on experience with algorithms like Classification, regression, and recommendation on real datasets using Spark MLLib package. Learn about numerical and scientific computing using NumPy and SciPy on Spark. Use Predictive Model Markup Language (PMML) in Spark for statistical data mining models. In Detail Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark's selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease. This guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark's data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work. Style and approach This book contains a comprehensive range of recipes designed to help you learn the fundamentals and tackle the difficulties of data science. This book outlines practical steps to produce powerful insights into Big Data through a recipe-based approach.
