Hadoop: The Definitive Guide, 4th Edition

Hadoop: The Definitive Guide, 4th Edition Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing. Learn fundamental components such as MapReduce, HDFS, and YARN Explore MapReduce in depth, including steps for developing applications with it Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN Learn two data formats: Avro for data serialization and Parquet for nested data Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer) Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop Learn the HBase distributed database and the ZooKeeper distributed configuration service

Java SE 8 for the Really Impatient

Eagerly anticipated by millions of programmers, Java SE 8 is the most important Java update in many years. Now, internationally renowned Java expert Cay S. Horstmann ("Core Java") concisely introduces Java 8's most valuable new features (plus a few Java 7 innovations that haven't gotten the attention they deserve). If you're an experienced Java programmer, Horstmann's practical insights and sample code will help you quickly take advantage of these and other Java language and platform improvements: * Using Lambda expressions (closures) to write computation "snippets" that can be passed to common utility functions, making Java collections far more flexible * Major updates to concurrent programming that make use of lambda expressions (filter/map/reduce) and improve Java's fork-join framework * The long-awaited introduction of a well-designed date/time/calendar library (JSR 310) * Annotations on Java types to support useful pluggable type checkers and refine Java's built-in type system * Java/JavaScript integration via Project Nashorn * Transition to the JavaFX API as the official way to build media-rich, highly interactive client-side Java applications * Simpler tuning of HotSpot JVM garbage collection The first book to cover all these highly-anticipated improvements, Cay Horstmann's Java SE 8 for the Really Impatient will be indispensable to everyone who wants to write tomorrow's most robust, efficient, and secure Java code.

Effective Java 3rf Edition

Java has changed dramatically since the previous edition of Effective Java was published shortly after the release of Java 6. This Jolt award-winning classic has now been thoroughly updated to take full advantage of the latest language and library features. The support in modern Java for multiple paradigms increases the need for specific best-practices advice, and this book delivers. As in previous editions, each chapter of Effective Java, Third Edition, consists of several “items,” each presented in the form of a short, stand-alone essay that provides specific advice, insight into Java platform subtleties, and updated code examples. The comprehensive descriptions and explanations for each item illuminate what to do, what not to do, and why. The third edition covers language and library features added in Java 7, 8, and 9, including the functional programming constructs that were added to its object-oriented roots. Many new items have been added, including a chapter devoted to lambdas and streams. New coverage includes Functional interfaces, lambda expressions, method references, and streams Default and static methods in interfaces Type inference, including the diamond operator for generic types The @SafeVarargs annotation The try-with-resources statement New library features such as the Optional interface, java.time, and the convenience factory methods for collections

Elasticsearch Blueprints

Elasticsearch is a distributed search server similar to Apache Solr with a focus on large datasets, schemaless setup, and high availability. Utilizing the Apache Lucene library (also used in Apache Solr), Elasticsearch enables powerful full-text searches, autocomplete, the "morelikethis" search, multilingual functionality, as well as an extensive search query DSL. Elasticsearch's schemafree architecture provides developers with built-in flexibility as well as ease of setup. This architecture allows Elasticsearch to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses—even with petabytes of unstructured data. This book will enable you to utilize the amazing features of Elasticsearch and build projects to simplify operations on even large datasets. This book starts with the creation of a Google-like web search service, enabling you to generate your own search results. You will then learn how an e-commerce website can be built using Elasticsearch, which will help users search and narrow down the set of products they are interested in. You will explore the most important part of a search—relevancy—based on the various parameters, such as relevance, document collection relevance, user usage pattern, geographic nearness, and document relevance to select the top results. Next, you will discover how Elasticsearch manages relational content for even complex real-world data. You will then learn the capabilities of Elasticsearch as a strong analytic search platform, which coupled with some visualization techniques can produce real-time data visualization. You will also discover how to improve your search quality and widen the scope of matches using various analyzer techniques. Finally, this book will cover the various geo capabilities of Elasticsearch to make your searches similar to real-world scenarios.

ElasticSearch 5.0 Cookbook

Elasticsearch is one of the most powerful solution, written with the cloud and distributed computing in mind. Its main author, Shay Banon, famous for having developed Compass (http://www.compass-project.org), released the first version of Elasticsearch in March 2010. Thus the main scope of Elasticsearch is to be a search engine; it also provides a lot of features that allows using it also as data-store and analytic engine via its aggregation framework. Elasticsearch contains a lot of innovative features: JSON REST based, natively distributed in a map/reduce approach for both search and analytics, easy to set up and extensible with plugins. From 2010 when it started to be developed, to last version (5.x) there is a big evolution of the product becoming one of the most used datastore for a lot of markets. In this book we will go in depth on these changes and features and many others capabilities available in Elasticsearch. Elasticsearch is also a product in continuous evolution and new functionalities are released both by the Elasticsearch Company (the company founded by Shay Banon to provide commercial support for Elasticsearch) and by Elasticsearch users as plugin (mainly available on GitHub). Today a lot of the major world players in IT industry (see some use cases at https://www.elastic.co/use-cases) are using Elasticsearch for its simplicity and advanced features.

Elasticsearch Tutorial

Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. Elasticsearch is the most popular enterprise search engine followed by Apache Solr, also based on Lucene. Elasticsearch can be used to search all kinds of documents. It provides scalable search, has near real-time search, and supports multitenancy. Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. Each node hosts one or more shards, and acts as a coordinator to delegate operations to the correct shard(s). Rebalancing and routing are done automatically. Related data is often stored in the same index, which consists of one or more primary shards, and zero or more replica shards. Once an index has been created, the number of primary shards cannot be changed. (Source: https://en.wikipedia.org/wiki/Elasticsearch) In this ebook, we provide a series of tutorials so that you can develop your own Elasticsearch based applications. We cover a wide range of topics, from installation and operations, to Java API Integration and reporting. With our straightforward tutorials, you will be able to get your own projects up and running in minimum time.

programming-openresty

OpenResty itself has been relying on automated testing to remain high quality over the years. As OpenResty core developers, we embrace the test driven development (TDD) process all the time. An excellent result of our TDD practices over the years is a huge set of test suites for all the OpenResty components. These test suites are so large as a whole, so it is impractical to run all the tests thoroughly on a single machine. A relatively large test cluster is often run on Amazon EC2 to run all these tests in all existing test modes. Lying at the heart of these test suites is usually the Test::Nginx test scaffold module developed by the OpenResty team.

Bash notes for professionals

This Bash Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA, see credits at the end of this book whom contributed to the various chapters. Images may be copyright of their respective owners unless otherwise specified

MongoDB Basics

Need a quick and easy to understand introduction to MongoDB and NoSQL databases? MongoDB Basics, from The Definitive Guide to MongoDB, 2E, shows you how a document-oriented database system differs from a relational database, and how to install and get started using it. You'll also learn MongoDB design basics, including geospatial indexing, how to navigate, view, and query your database, and how to use GridFS with a bit of Python. What you’ll learn What sets MongoDB apart from other databases How to install MongoDB on all major platforms How to design a MongoDB database How to work with GridFS Who this book is for Developers and relational database admins who need to get up to speed quickly on what MongoDB is, how it works, and how to use it. Table of Contents Ch. 1: Introduction to MongoDB Ch. 2: Installing MongoDB Ch. 3: The Data Model Ch. 4: Working with Data Ch. 5: GridFS

HTML5 and CSS3 Develop with Tomorrow's Standards Today

HTML5 and CSS3 are the future of web development, but you don't have to wait to start using them. Even though the specification is still in development, many modern browsers and mobile devices already support HTML5 and CSS3. This book gets you up to speed on the new HTML5 elements and CSS3 features you can use right now, and backwards compatible solutions ensure that you don't leave users of older browsers behind.