Informatyka

Apache. Receptury. Wydanie II

Rich Bowen, Ken Coar

Czy wiesz, jaki serwer HTTP jest najpopularniejszy w sieci? Właśnie tak, jest to Apache! W lipcu 2008 roku jego udział w rynku wynosił blisko 50% (według Netcraft). Historia tego serwera sięga roku 1995, kiedy ukazała się jego pierwsza oficjalna wersja, oznaczona numerem 0.6.2. Cechy, które zadecydowały o sukcesie tego rozwiązania, to bezpieczeństwo, skalowalność, wielowątkowość i obsługa różnorodnych języków skryptowych. Dzięki książce "Apache. Receptury" zapoznasz się z gotowymi przepisami na rozwiązanie ciekawych, specyficznych oraz intrygujących problemów. Nauczysz się instalować serwer z różnych źródeł oraz na różnych platformach. Dowiesz się, w jaki sposób zwiększyć jego bezpieczeństwo, jak uruchomić serwery wirtualne oraz poprawić wydajność Apache. Autorzy książki pokażą Ci, jak uruchomić obsługę języków skryptowych, tak aby serwowane strony stały się dynamiczne. Cała wiedza zostanie przedstawiona w sprawdzony w tej serii sposób: problem - rozwiązanie - analiza. Sposoby instalacji serwera Apache Dodawanie funkcjonalności dzięki modułom Możliwości rejestracji zdarzeń Konfiguracja serwerów wirtualnych Wykorzystanie aliasów, przekierowań oraz przepisań (mod_rewrite) Zarządzanie dostępem do serwowanych zasobów Bezpieczeństwo serwera Apache Wykorzystanie szyfrowanej transmisji - protokół SSL Zapewnienie wydajności Wykorzystanie języków skryptowych Oto książka z najlepszymi przepisami na Apache!

Apache Roller 4.0 - Beginner's Guide. A comprehensive, step-by-step guide on how to set up, customize, and market your blog using Apache Roller

Alfonso Vidal Romero

Apache Roller enables you to build a fully-featured, multi-user blog server apt for all kinds of blogging sites. It is an ideal tool to create your own blogging network with unlimited users and blogs, forums, photo galleries, and more! While it is exciting to have a list of interesting features it can offer you, it might be a little difficult to get started with it by your self.This book will teach you how to get started with Apache Roller and make the most of all its features using step-by-step, detailed instructions. You will learn how to establish your internet presence with an Apache Roller blog and use the latest web tools to enhance your posts and attract visitors. You will also learn how to promote your blog on popular social bookmarking services and customize it to suit your need.This hands-on and practical book introduces you to Apache Roller. Starting off with the configuration and installation of your own blog, you'll then quickly learn how to add interesting content to your blog with the help of plenty of examples. You'll also learn how to change your blog's visual appearance with the help of Roller themes and templates and how to create a community of blogs for you and your colleagues or friends in your Apache Roller blog server. The book also looks at ways you can manage your community, and keep your site safe and secure, ensuring that it is a spam-free, enjoyable community for your users.

Apache Solr for Indexing Data. Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

Sachin Handiekar, Anshul Johri

Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features.This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You’ll quickly move on to indexing text and boosting the indexing time. Next, you’ll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler.Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we’ll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data.By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements.

Apache Solr High Performance. In setting up Apache Solr, you'll want to ensure it's achieving optimum search results with maximum efficiency. This book shows you just how to achieve that with a comprehensive tutorial including troubleshooting

Surendra Mohan

This book is an easy-to-follow guide, full of hands-on, real-world examples. Each topic is explained and demonstrated in a specific and user-friendly flow, from search optimization using Solr to Deployment of Zookeeper applications. This book is ideal for Apache Solr developers and want to learn different techniques to optimize Solr performance with utmost efficiency, along with effectively troubleshooting the problems that usually occur while trying to boost performance. Familiarity with search servers and database querying is expected.

Apache Solr Search Patterns. Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently

Jayant Kumar

This book is for developers who already know how to use Solr and are looking at procuring advanced strategies for improving their search using Solr. This book is also for people who work with analytics to generate graphs and reports using Solr. Moreover, if you are a search architect who is looking forward to scale your search using Solr, this is a must have book for you. It would be helpful if you are familiar with the Java programming language.

Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics

Rishi Yadav

While Apache Spark 1.x gained a lot of traction and adoption in the early years, Spark 2.x delivers notable improvements in the areas of API, schema awareness, Performance, Structured Streaming, and simplifying building blocks to build better, faster, smarter, and more accessible big data applications. This book uncovers all these features in the form of structured recipes to analyze and mature large and complex sets of data.Starting with installing and configuring Apache Spark with various cluster managers, you will learn to set up development environments. Further on, you will be introduced to working with RDDs, DataFrames and Datasets to operate on schema aware data, and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will also work through recipes on machine learning, including supervised learning, unsupervised learning & recommendation engines in Spark.Last but not least, the final few chapters delve deeper into the concepts of graph processing using GraphX, securing your implementations, cluster optimization, and troubleshooting.

Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs

Sumit Kumar, Sourav Gulati

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages.By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications.

Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark

Siamak Amirghodsi, Mohammed Guller, Shuen Mei, Meenakshi...

Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks.This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we’ll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems.