Libros UCLV { BETA }

Cloud ComputingIT eBooks

Cloud computing is changing the way IT is delivered in enterprises around the world. The world's leading open source cloud computing platform, Cloudstack, helps you implement a cloud computing service in your enterprise or set up an infrastructure as a service (IaaS) offering for your customers. With Apache Cloudstack Cloud Computing, learn the leading open source cloud computing platform in an easy step-by-step approach, from understanding the basics of setting up an infrastructure as a service cloud to actual deployment scenarios and extensibility features of CloudStack.

Search Engines

Implementing different search engines on web products is a mandate these days. Apache Solr is a robust search engine, but simply implementing Apache Solr and forgetting about it is not a good idea, especially when you have to fight for the search ranking of your web product. In such a scenario, you need to keep monitoring, administrating, and optimizing your Solr to retain your ranking. Administrating Solr is a practical, hands-on guide. This book will provide you with a number of clear, step-by-step exercises and some advanced concepts which will help you administrate, monitor, and optimize Solr using Drupal and associated scripts. Administrating Solr will also provide you with a solid grounding on how you can use Apache Solr with Drupal.

Apache Services

Accumulo is a sorted and distributed key/value store designed to handle large amounts of data. Being highly robust and scalable, its performance makes it ideal for real-time data storage. Apache Accumulo is based on Google's BigTable design and is built on top of Apache Hadoop, Zookeeper, and Thrift. Apache Accumulo for Developers is your guide to building an Accumulo cluster both as a single-node and multi-node, on-site and in the cloud. Accumulo has been proven to be able to handle petabytes of data, with cell-level security, and real-time analyses so this is your step by step guide in taking full advantage of this power.

Indexado de documentos

Search is everywhere. Users always expect a search facility in mobile or web applications that allows them to find things in a fast and friendly manner. Apache Solr Essentials is a fast-paced guide to help you quickly learn the process of creating a scalable, efficient, and powerful search application. The book starts off by explaining the fundamentals of Solr and then goes on to cover various topics such as data indexing, ways of extending Solr, client APIs and their indexing and data searching capabilities, an introduction to the administration, monitoring, and tuning of a Solr instance, as well as the concepts of sharding and replication. Next, you'll learn about various Solr extensions and how to contribute to the Solr community. By the end of this book, you will be able to create excellent search applications with the help of Solr.

Metabuscadores

This book will guide you through the complete ElasticSearch ecosystem. From choosing the correct transport layer and communicating with the server to creating and customizing internal actions, you will develop an in-depth knowledge of the implementation of the ElasticSearch architecture. After creating complex queries and analytics, mapping, aggregation, and scripting, you will master the integration of ElasticSearch's functionality in user-facing applications and take your knowledge one-step further by building custom plugins, developing tailored mapping, executing powerful analytics, and integrating with Python and Java applications.

Search Engine

Apache Solr is an open source search platform built on a Java library called Lucene. It serves as a search platform for many websites, as it has the capability of indexing and searching multiple websites to fetch desired results. We begin with a brief introduction of analyzers and tokenizers to understand the challenges associated with implementing large-scale indexing and multilingual search functionality. We then move on to working with custom queries and understanding how filters work internally. While doing so, we also create our own query language or Solr plugin that does proximity searches. Furthermore, we discuss how Solr can be used for real-time analytics and tackle problems faced during its implementation in e-commerce search. We then dive deep into the spatial features such as indexing strategies and search/filtering strategies for a spatial search. We also do an in-depth analysis of problems faced in an ad serving platform and how Solr can be used to solve these problems.

Apache Solr

Solr is a widely popular open source enterprise search server that delivers powerful search and faceted navigation features—features that are elusive with databases. Solr supports complex search criteria, faceting, result highlighting, query-completion, query spell-checking, relevancy tuning, geospatial searches, and much more. This book is a comprehensive resource for just about everything Solr has to offer, and it will take you from first exposure to development and deployment in no time. Even if you wish to use Solr 5, you should find the information to be just as applicable due to Solr's high regard for backward compatibility. The book includes some useful information specific to Solr 5.

This book is for those who want to know about Apache Kafka at a hands-on level; the key audience is those with software development experience but no prior exposure to Apache Kafka or similar technologies. This book is also for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber-based systems and now want to explore Apache Kafka as a futuristic scalable solution.

In today’s world, real-time information is continuously being generated by applications (business, social, or any other type), and this information needs easy ways to be reliably and quickly routed to multiple types of receivers. Most of the time, applications that produce information and applications that are consuming this information are well apart and inaccessible to each other. These heterogeneous application leads to redevelopment for providing an integration point between them. Therefore, a mechanism is required for the seamless integration of information from producers and consumers to avoid any kind of application rewriting at either end. Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

It’s an exciting time for Apache Kafka. Kafka is being used by tens of thousands of organizations, including over a third of the Fortune 500 companies. It’s among the fastest growing open source projects and has spawned an immense ecosystem around it. It’s at the heart of a movement towards managing and processing streams of data.

Kafka got its start as an internal infrastructure system we built at LinkedIn. Our observation was really simple: there were lots of databases and other systems built to store data, but what was missing in our architecture was something that would help us to handle the continuous flow of data. Prior to building Kafka, we experimented with all kinds of off the shelf options; from messaging systems to log aggregation and ETL tools, but none of them gave us what we wanted. We eventually decided to build something from scratch. Our idea was that instead of focusing on holding piles of data like our relational databases, key-value stores, search indexes, or caches, we would focus on treating data as a continually evolving and ever growing stream, and build a data system—and indeed a data architecture—oriented around that idea.