Mastering Elasticsearch Second Edition

Mastering Elasticsearch   Second Edition Author Rafał Kuć
ISBN-10 9781783553808
Release 2015-02-27
Pages 434
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This book is for Elasticsearch users who want to extend their knowledge and develop new skills. Prior knowledge of the Query DSL and data indexing is expected.



Elasticsearch Server Second Edition

Elasticsearch Server  Second Edition Author Rafał Kuć
ISBN-10 9781783980536
Release 2014-04-24
Pages 428
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This book is a detailed, practical, hands-on guide packed with real-life scenarios and examples which will show you how to implement an ElasticSearch search engine on your own websites. If you are a web developer or a user who wants to learn more about ElasticSearch, then this is the book for you. You do not need to know anything about ElastiSeach, Java, or Apache Lucene in order to use this book, though basic knowledge about databases and queries is required.



Elasticsearch A Complete Guide

Elasticsearch  A Complete Guide Author Bharvi Dixit
ISBN-10 9781787287396
Release 2017-01-31
Pages 826
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End-to-end Search and Analytics About This Book Solve your data analytics problems with the Elastic Stack Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins Design your index, configure it, and distribute it — you'll also learn how it works Who This Book Is For This course is for anyone who wants to build efficient search and analytics applications. Some development experience is expected. What You Will Learn Install and configure Elasticsearch, Logstash, and Kibana Write CRUDE operations and other search functionalities using the Elasticsearch Python and Java Clients Build analytics using aggregations Set up and scale Elasticsearch clusters using best practices Master document relationships and geospatial data Build your own data pipeline using Elastic Stack Choose the appropriate amount of shards and replicas for your deployment Become familiar with the Elasticsearch APIs In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, open source search and analytics engine. It provides a new level of control over how you can index and search even huge sets of data. This course will take you from the basics of Elasticsearch to using Elasticsearch in the Elastic Stack and in production. You'll start with the very basics: Elasticsearch terminology, installation, and configuring Elasticsearch. After this, you'll take a look at analytics and indexing, search, and querying. You'll learn how to create maps and visualizations. You'll also be briefed on cluster scaling, search and bulk operations, backups, and security. Then you'll be ready to get into Elasticsearch's internal functionalities including caches, Apache Lucene library, and its monitoring capabilities. You'll learn about the practical usage of Elasticsearch configuration parameters and how to use the monitoring API. You'll discover how to improve the user search experience, index distribution, segment statistics, merging, and more. Once you have mastered this, you'll dive into end-to-end visualize-analyze-log techniques with Elastic Stack (also known as the ELK stack). You'll explore Elasticsearch, Logstash, and Kibana and see how to make them work together to build fresh insights and business metrics out of data. You'll be able to use Elasticsearch with other de facto components in order to get the most out of Elasticsearch. By the end of this course, you'll have developed a full-fledged data pipeline. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Elasticsearch Essentials Mastering Elasticsearch, Second Edition Learning ELK Stack Style and approach This course aims to create a smooth learning path that will teach you how to effectively use Elasticsearch with other de facto components and get the most out of Elasticsearch. Through this comprehensive course, you'll learn the basics of Elasticsearch and progress to using Elasticsearch in the Elastic stack and in production.



Elasticsearch Server

Elasticsearch Server Author Rafał Kuć
ISBN-10 9781785883620
Release 2016-02-29
Pages 556
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Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease About This Book Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents Deep dive into the world of data aggregation and data analysis with ElasticSearch Explore a wide range of ElasticSearch modules that define the behavior of a cluster Who This Book Is For If you are a competent developer and want to learn about the great and exciting world of ElasticSearch, then this book is for you. No prior knowledge of Java or Apache Lucene is needed. What You Will Learn Configure, create, and retrieve data from your indices Use an ElasticSearch query DSL to create a wide range of queries Discover the highlighting and geographical search features offered by ElasticSearch Find out how to index data that is not flat or data that has a relationship Exploit a prospective search to search for queries not documents Use the aggregations framework to get more from your data and improve your client's search experience Monitor your cluster state and health using the ElasticSearch API as well as third-party monitoring solutions Discover how to properly set up ElasticSearch for various use cases In Detail ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch's schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You'll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You'll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project's specifications. Style and approach This step-by-step guide is full of screenshots and real-world examples to take you on a journey through the wonderful world of full text search provided by ElasticSearch.



Elasticsearch Server Third Edition

Elasticsearch Server   Third Edition Author Rafal Kuc
ISBN-10 1785888811
Release 2016-02-29
Pages 556
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Leverage Elasticsearch to create a robust, fast, and flexible search solution with easeAbout This Book- Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents- Deep dive into the world of data aggregation and data analysis with ElasticSearch- Explore a wide range of ElasticSearch modules that define the behavior of a clusterWho This Book Is ForIf you are a competent developer and want to learn about the great and exciting world of ElasticSearch, then this book is for you. No prior knowledge of Java or Apache Lucene is needed.What You Will Learn- Configure, create, and retrieve data from your indices- Use an ElasticSearch query DSL to create a wide range of queries- Discover the highlighting and geographical search features offered by ElasticSearch- Find out how to index data that is not flat or data that has a relationship- Exploit a prospective search to search for queries not documents- Use the aggregations framework to get more from your data and improve your client's search experience- Monitor your cluster state and health using the ElasticSearch API as well as third-party monitoring solutions- Discover how to properly set up ElasticSearch for various use casesIn DetailElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch's schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data.This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You'll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You'll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project's specifications.Style and approachThis step-by-step guide is full of screenshots and real-world examples to take you on a journey through the wonderful world of full text search provided by ElasticSearch.



Solr Cookbook Third Edition

Solr Cookbook   Third Edition Author Rafał Kuć
ISBN-10 9781783553167
Release 2015-01-23
Pages 356
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This book is for intermediate Solr Developers who are willing to learn and implement Pro-level practices, techniques, and solutions. This edition will specifically appeal to developers who wish to quickly get to grips with the changes and new features of Apache Solr 5.



Solr Cookbook Third Edition

Solr Cookbook   Third Edition Author Rafal Kuc
ISBN-10 1783553154
Release 2015-01-23
Pages 356
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This book is for intermediate Solr Developers who are willing to learn and implement Pro-level practices, techniques, and solutions. This edition will specifically appeal to developers who wish to quickly get to grips with the changes and new features of Apache Solr 5.



ElasticSearch Cookbook Second Edition

ElasticSearch Cookbook   Second Edition Author Alberto Paro
ISBN-10 9781783554843
Release 2015-01-28
Pages 472
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If you are a developer who implements ElasticSearch in your web applications and want to sharpen your understanding of the core elements and applications, this is the book for you. It is assumed that you’ve got working knowledge of JSON and, if you want to extend ElasticSearch, of Java and related technologies.



Elasticsearch Indexing

Elasticsearch Indexing Author Huseyin Akdogan
ISBN-10 9781783987030
Release 2015-12-30
Pages 176
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Improve search experiences with ElasticSearch's powerful indexing functionality – learn how with this practical ElasticSearch tutorial, packed with tips! About This Book Improve user's search experience with the correct configuration Deliver relevant search results – fast! Save time and system resources by creating stable clusters Who This Book Is For If you understand the importance of a great search experience this book will show you exactly how to build one with ElasticSearch, one of the world's leading search servers. What You Will Learn Learn how ElasticSearch efficiently stores data – and find out how it can reduce costs Control document metadata with the correct mapping strategies and by configuring indices Use ElasticSearch analysis and analyzers to incorporate greater intelligence and organization across your documents and data Find out how an ElasticSearch cluster works – and learn the best way to configure it Perform high-speed indexing with low system resource cost Improve query relevance with appropriate mapping, suggest API, and other ElasticSearch functionalities In Detail Beginning with an overview of the way ElasticSearch stores data, you'll begin to extend your knowledge to tackle indexing and mapping, and learn how to configure ElasticSearch to meet your users' needs. You'll then find out how to use analysis and analyzers for greater intelligence in how you organize and pull up search results – to guarantee that every search query is met with the relevant results! You'll explore the anatomy of an ElasticSearch cluster, and learn how to set up configurations that give you optimum availability as well as scalability. Once you've learned how these elements work, you'll find real-world solutions to help you improve indexing performance, as well as tips and guidance on safety so you can back up and restore data. Once you've learned each component outlined throughout, you will be confident that you can help to deliver an improved search experience – exactly what modern users demand and expect. Style and approach This is a comprehensive guide to performing efficient indexing and providing relevant search results using mapping, analyzers, and other ElasticSearch functionalities.



Mastering OpenStack

Mastering OpenStack Author Omar Khedher
ISBN-10 9781786462282
Release 2017-04-26
Pages 470
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Discover your complete guide to designing, deploying, and managing OpenStack-based clouds in mid-to-large IT infrastructures with best practices, expert understanding, and more About This Book Design and deploy an OpenStack-based cloud in your mid-to-large IT infrastructure using automation tools and best practices Keep yourself up-to-date with valuable insights into OpenStack components and new services in the latest OpenStack release Discover how the new features in the latest OpenStack release can help your enterprise and infrastructure Who This Book Is For This book is for system administrators, cloud engineers, and system architects who would like to deploy an OpenStack-based cloud in a mid-to-large IT infrastructure. This book requires a moderate level of system administration and familiarity with cloud concepts. What You Will Learn Explore the main architecture design of OpenStack components and core-by-core services, and how they work together Design different high availability scenarios and plan for a no-single-point-of-failure environment Set up a multinode environment in production using orchestration tools Boost OpenStack's performance with advanced configuration Delve into various hypervisors and container technology supported by OpenStack Get familiar with deployment methods and discover use cases in a real production environment Adopt the DevOps style of automation while deploying and operating in an OpenStack environment Monitor the cloud infrastructure and make decisions on maintenance and performance improvement In Detail In this second edition, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV. Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies. Style and approach This book will help you understand the flexibility of OpenStack by showcasing integration of several out-of-the-box solutions in order to build a large-scale cloud environment.. It will also cover detailed discussions on the various design and deployment strategies for implementing a fault-tolerant and highly available cloud infrastructure.



Learning Apache Flink

Learning Apache Flink Author Tanmay Deshpande
ISBN-10 9781786467263
Release 2017-02-20
Pages 280
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Discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink About This Book Build your expertize in processing real-time data with Apache Flink and its ecosystem Gain insights into the working of all components of Apache Flink such as FlinkML, Gelly, and Table API filled with real world use cases Exploit Apache Flink's capabilities like distributed data streaming, in-memory processing, pipelining and iteration operators to improve performance. Solve real world big-data problems with real time in-memory and disk-based processing capabilities of Apache Flink. Who This Book Is For Big data developers who are looking to process batch and real-time data on distributed systems. Basic knowledge of Hadoop and big data is assumed. Reasonable knowledge of Java or Scala is expected. What You Will Learn Learn how to build end to end real time analytics projects Integrate with existing big data stack and utilize existing infrastructure Build predictive analytics applications using FlinkML Use graph library to perform graph querying and search. Understand Flink's - "Streaming First" architecture to implementing real streaming applications Learn Flink Logging and Monitoring best practices in order to efficiently design your data pipelines Explore the detailed processes to deploy Flink cluster on Amazon Web Services(AWS) and Google Cloud Platform (GCP). In Detail With the advent of massive computer systems, organizations in different domains generate large amounts of data on a real-time basis. The latest entrant to big data processing, Apache Flink, is designed to process continuous streams of data at a lightning fast pace. This book will be your definitive guide to batch and stream data processing with Apache Flink. The book begins with introducing the Apache Flink ecosystem, setting it up and using the DataSet and DataStream API for processing batch and streaming datasets. Bringing the power of SQL to Flink, this book will then explore the Table API for querying and manipulating data. In the latter half of the book, readers will get to learn the remaining ecosystem of Apache Flink to achieve complex tasks such as event processing, machine learning, and graph processing. The final part of the book would consist of topics such as scaling Flink solutions, performance optimization and integrating Flink with other tools such as ElasticSearch. Whether you want to dive deeper into Apache Flink, or want to investigate how to get more out of this powerful technology, you'll find everything you need inside. Style and approach This book is a comprehensive guide that covers advanced features of the Apache Flink, and communicates them with a practical understanding of the underlying concepts for how, when, and why to use them.