Programowanie
Scott Cranton, Jakub Korab
Apache Camel is a de-facto standard for developing integrations in Java, and is based on well-understood Enterprise Integration Patterns. It is used within many commercial and open source integration products. Camel makes common integration tasks easy while still providing the developer with the means to customize the framework when the situation demands it. Tasks such as protocol mediation, message routing and transformation, and auditing are common usages of Camel. Apache Camel Developer's Cookbook provides hundreds of best practice tips for using Apache Camel in a format that helps you build your Camel projects. Each tip or recipe provides you with the most important steps to perform along with a summary of how it works, with references to further reading if you need more information. This book is intended to be a reliable information source that is quicker to use than an Internet search. Apache Camel Developer's Cookbook is a quick lookup guide that can also be read from cover to cover if you want to get a sense of the full power of Apache Camel. This book provides coverage of the full lifecycle of creating Apache Camel-based integration projects, including the structure of your Camel code and using the most common Enterprise Integration patterns. Patterns like Split/Join and Aggregation are covered in depth in this book. Throughout this book, you will be learning steps to transform your data. You will also learn how to perform unit and integration testing of your code using Camel's extensive testing framework, and also strategies for debugging and monitoring your code. Advanced topics like Error Handling, Parallel Processing, Transactions, and Security will also be covered in this book. This book provides you with practical tips on using Apache Camel based on years of hands-on experience from hundreds of integration projects.
Steven Hoffman
If you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed.
Raúl Estrada
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.
Raúl Estrada
Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the ?y. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines.This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment.Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows.
Jayant Kumar
The Search tool is a very powerful for any website. No matter what type of website, the search tool helps visitors find what they are looking for using key words and narrow down the results using facets. Solr is the popular, blazing fast, open source enterprise search platform from the Apache Lucene project. It is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest websites.This book is a practical, hands-on, end-to-end guide that provides you with all the tools required to build a fully-featured search application using Apache Solr and PHP. The book contains practical examples and step-by-step instructions.Starting off with the basics of installing Apache Solr and integrating it with Php, the book then proceeds to explore the features provided by Solr to improve searches using Php. You will learn how to build and maintain a Solr index using Php, discover the query modes available with Solr, and how to use them to tune the Solr queries to retrieve relevant results. You will look at how to build and use facets in your search, how to tune and use fast result highlighting, and how to build a spell check and auto complete feature using Solr. You will finish by learning some of the advanced concepts required to runa large-scale enterprise level search infrastructure.
Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla,...
Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own data flow and machine learning programs on this platform.You will work with the different modules in Apache Spark, such as interactive querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and deep learning techniques on Spark using MLlib and various external tools.By the end of this elaborately designed Learning Path, you will have all the knowledge you need to master Apache Spark, and build your own big data processing and analytics pipeline quickly and without any hassle.This Learning Path includes content from the following Packt products:• Mastering Apache Spark 2.x by Romeo Kienzler• Scala and Spark for Big Data Analytics by Md. Rezaul Karim, Sridhar Alla• Apache Spark 2.x Machine Learning Cookbook by Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen MeiCookbook
Shrey Mehrotra, Akash Grade
Apache Spark is a ?exible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases.It will also introduce you to Apache Spark – one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark’s built-in modules for SQL, streaming, machine learning, and graph analysis.Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications.
API nowoczesnej strony WWW. Usługi sieciowe w PHP
Lorna Jane Mitchell
Twój klucz do doskonałego API! Za sukcesem i siłą najpopularniejszych serwisów w sieci często stoi decyzja o szerokim udostępnieniu API (ang. Application Programming Interface). Dzięki temu programiści z całego świata mogą tworzyć rozwiązania oparte na istniejących usługach, integrować różne systemy oraz tworzyć rozszerzenia. Sięgnij po tę książkę, naucz się korzystać z udostępnionego API i zbuduj własne. Poznaj tajniki budowania przyjaznego interfejsu API. Ta książka pomoże Ci zorientować się, jak działa protokół HTTP, jakie metody udostępnia oraz jakie informacje możesz znaleźć w nagłówkach. Po opanowaniu podstaw przejdziesz do najpopularniejszych formatów wymiany informacji pomiędzy systemami — JSON oraz XML. Zaznajomisz się też z usługami SOAP, RPC i REST. Na sam koniec dowiesz się, jak projektować niezawodne usługi oraz obsługiwać błędy. Jeżeli chcesz, żeby Twoje API zainteresowało innych programistów, musisz zadbać o jego dobrą dokumentację. Zdobądź niezbędną wiedzę o PHP! Poznasz protokół HTTP, czasowniki cyklu żądań i odpowiedzi oraz nagłówki i ciasteczka. Dowiesz się, kiedy lepiej jest użyć formatu JSON, a kiedy XML. Nauczysz się tworzyć usługi typu RPC, SOAP i RESTful. Poznasz wiele narzędzi i technik diagnozowania usług sieciowych HTTP. Nauczysz się wybierać najlepszy rodzaj usługi dla swoich aplikacji i dowiesz się, jak tworzyć niezawodne usługi sieciowe. Nauczysz się dokumentować swoje interfejsy API — oraz projektować w nich mechanizmy obsługi błędów. Zbuduj API zgodne z oczekiwaniami innych programistów!