Elasticsearch Indexing

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Learning Elasticsearch 7.x

Author : Anurag Srivastava
Publisher : BPB Publications
ISBN 13 : 9389898315
Total Pages : 331 pages
Book Rating : 4.3/5 (898 download)

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Book Synopsis Learning Elasticsearch 7.x by : Anurag Srivastava

Download or read book Learning Elasticsearch 7.x written by Anurag Srivastava and published by BPB Publications. This book was released on 2020 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide that will teach you how to use Elasticsearch in your application effectively KEY FEATURES ● Get familiar with the core concepts of Elasticsearch. ● Understand how the search engine works and how Elasticsearch is different from other similar tools. ● Learn to install Elasticsearch on different operating systems. ● Get familiar with the components of Elastic Stack such as Kibana, Logstash, and Beats, etc. ● Learn how to import data from different sources such as RDBMS, and files, etc DESCRIPTION In the modern Information Technology age, we are flooded with loads of data so we should know how to handle those data and transform them to fetch meaningful information. This book is here to help you manage the data using Elasticsearch. The book starts by covering the fundamentals of Elasticsearch and the concept behind it. After the introduction, you will learn how to install Elasticsearch on different platforms. You will then get to know about Index Management where you will learn to create, update, and delete Elasticsearch indices. Then you will understand how the Query DSL works and how to write some complex search queries using the Query DSL. After completing these basic features, you will move to some advanced topics. Under advanced topics, you will learn to handle Geodata which can be used to plot the data on a map. The book then focuses on Data Analysis using Aggregation. You will then learn how to tune Elasticsearch performance. The book ends with a chapter on Elasticsearch administration. What you will learn ● Learn how to create and manage a cluster ● Work with different components of Elastic Stack ● Review the list of top Information Security certifications. ● Get to know more about Elasticsearch Index Management. ● Understand how to improve the performance by tuning Elasticsearch WHO THIS BOOK IS FOR This book is for developers, architects, DBA, DevOps, and other readers who want to learn Elasticsearch efficiently and want to apply that in their application whether it is a new one or an existing one. It is also beneficial to those who want to play with their data using Elasticsearch. Basic computer programming is a prerequisite. TABLE OF CONTENTS 1 Getting started with Elasticsearch 2 Installation Elasticsearch 3 Working with Elastic Stack 4 Preparing your data 5 Importing Data into Elasticsearch 6 Managing Your Index 7 Apply Search on Your Data 8 Handling Geo with Elasticsearch 9 Aggregating Your Data 10 Improving the Performance 11 Administer Elasticsearch

Elasticsearch Indexing

Author : Huseyin Akdogan
Publisher : Packt Publishing Ltd
ISBN 13 : 1783987030
Total Pages : 176 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Elasticsearch Indexing by : Huseyin Akdogan

Download or read book Elasticsearch Indexing written by Huseyin Akdogan and published by Packt Publishing Ltd. This book was released on 2015-12-30 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Elasticsearch: The Definitive Guide

Author : Clinton Gormley
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449358500
Total Pages : 659 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Elasticsearch: The Definitive Guide by : Clinton Gormley

Download or read book Elasticsearch: The Definitive Guide written by Clinton Gormley and published by "O'Reilly Media, Inc.". This book was released on 2015-01-23 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application. More experienced users will pick up lots of advanced techniques. Throughout the book, you’ll follow a problem-based approach to learn why, when, and how to use Elasticsearch features. Understand how Elasticsearch interprets data in your documents Index and query your data to take advantage of search concepts such as relevance and word proximity Handle human language through the effective use of analyzers and queries Summarize and group data to show overall trends, with aggregations and analytics Use geo-points and geo-shapes—Elasticsearch’s approaches to geolocation Model your data to take advantage of Elasticsearch’s horizontal scalability Learn how to configure and monitor your cluster in production

Elasticsearch in Action, Second Edition

Author : Madhusudhan Konda
Publisher : Simon and Schuster
ISBN 13 : 1617299855
Total Pages : 590 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Elasticsearch in Action, Second Edition by : Madhusudhan Konda

Download or read book Elasticsearch in Action, Second Edition written by Madhusudhan Konda and published by Simon and Schuster. This book was released on 2023-10-31 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build powerful, production-ready search applications using the incredible features of Elasticsearch. In Elasticsearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of Elasticsearch Installing, configuring, and running Elasticsearch and Kibana Creating an index with custom settings Data types, mapping fundamentals, and templates Fundamentals of text analysis and working with text analyzers Indexing, deleting, and updating documents Indexing data in bulk, and reindexing and aliasing operations Learning search concepts, relevancy scores, and similarity algorithms Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualizations, and machine learning. Plus, its comprehensive nature means you’ll keep coming back to the book as a handy reference! Foreword by Shay Banon. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Create fully professional-grade search engines with Elasticsearch and Kibana! Rewritten for the latest version of Elasticsearch, this practical book explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs. About the book Elasticsearch in Action, Second Edition teaches you how to add modern search features to websites and applications using Elasticsearch 8. In it, you’ll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. You’ll especially appreciate the mix of technical detail with techniques for designing great search experiences. What's inside Understanding search architecture Full text and term-level search queries Analytics and aggregations High-level visualizations in Kibana Configure, scale, and tune clusters About the reader For application developers comfortable with scripting and command-line applications. About the author Madhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack. Table of Contents 1 Overview 2 Getting started 3 Architecture 4 Mapping 5 Working with documents 6 Indexing operations 7 Text analysis 8 Introducing search 9 Term-level search 10 Full-text searches 11 Compound queries 12 Advanced search 13 Aggregations 14 Administration 15 Performance and troubleshooting

Elasticsearch Server

Author : Rafal Kuc
Publisher : Packt Publishing Ltd
ISBN 13 : 1849518440
Total Pages : 451 pages
Book Rating : 4.8/5 (495 download)

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Book Synopsis Elasticsearch Server by : Rafal Kuc

Download or read book Elasticsearch Server written by Rafal Kuc and published by Packt Publishing Ltd. This book was released on 2013-02-21 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: ElasticSearch is an open source search server built on Apache Lucene. It was built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy.Jumping into the world of ElasticSearch by setting up your own custom cluster, this book will show you how to create a fast, scalable, and flexible search solution. By learning the ins-and-outs of data indexing and analysis, "ElasticSearch Server" will start you on your journey to mastering the powerful capabilities of ElasticSearch. With practical chapters covering how to search data, extend your search, and go deep into cluster administration and search analysis, this book is perfect for those new and experienced with search servers.In "ElasticSearch Server" you will learn how to revolutionize your website or application with faster, more accurate, and flexible search functionality. Starting with chapters on setting up your own ElasticSearch cluster and searching and extending your search parameters you will quickly be able to create a fast, scalable, and completely custom search solution.Building on your knowledge further you will learn about ElasticSearch's query API and become confident using powerful filtering and faceting capabilities. You will develop practical knowledge on how to make use of ElasticSearch's near real-time capabilities and support for multi-tenancy.Your journey then concludes with chapters that help you monitor and tune your ElasticSearch cluster as well as advanced topics such as shard allocation, gateway configuration, and the discovery module.

Mastering Elasticsearch - Second Edition

Author : Rafał Kuć
Publisher : Packt Publishing Ltd
ISBN 13 : 1783553804
Total Pages : 434 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Mastering Elasticsearch - Second Edition by : Rafał Kuć

Download or read book Mastering Elasticsearch - Second Edition written by Rafał Kuć and published by Packt Publishing Ltd. This book was released on 2015-02-27 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 8 for Developers

Author : Anurag Srivastava
Publisher : BPB Publications
ISBN 13 : 9355519826
Total Pages : 423 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Elasticsearch 8 for Developers by : Anurag Srivastava

Download or read book Elasticsearch 8 for Developers written by Anurag Srivastava and published by BPB Publications. This book was released on 2023-10-30 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build and deploy scalable, real-time search applications with Elasticsearch 8 KEY FEATURES ● Learn the basics of Elasticsearch, including its key features and use. ● Understand the Elastic Stack and how its components, such as Kibana, Logstash, and Beats work with Elasticsearch to search, analyze, and visualize data. ● Learn how to tune Elasticsearch to improve its performance, scalability, and reliability. DESCRIPTION Elasticsearch is a powerful tool for handling and managing large amount of data. It is scalable, reliable, and fast, with various features for data analysis and search. This book is a comprehensive guide to using Elasticsearch to manage data. It starts with an overview of Elasticsearch, detailing its importance in today's world. The book further covers the basics of Elasticsearch, including installation, configuration, and index management. Next, the book covers more advanced topics, such as handling geospatial data and using aggregations to analyze data. It also covers performance optimization and administration. Throughout the book, the author provides practical examples to help you understand and apply the concepts learned. By the end of this book, you will have a deep understanding of Elasticsearch and use it to manage and extract valuable insights from large amount of data. WHAT YOU WILL LEARN ● Learn how to ingest, store, and visualize data using Elasticsearch for efficient management. ● Understand how Elasticsearch works and compare it to other search engines. ● Install Elasticsearch on different operating systems. ● Learn about Elasticsearch index management in detail. ● Use practical examples to learn how to import data from various sources, such as relational databases and files. ● Build high-performance search systems and optimize Elasticsearch clusters. WHO THIS BOOK IS FOR This book is for everyone who wants to learn Elasticsearch, whether you are a developer, architect, database administrator, DevOps engineer, or someone curious about working with data. TABLE OF CONTENTS 1. Getting Started with Elasticsearch 2. Installing Elasticsearch 3. Elastic Stack: The Ecosystem of Elasticsearch 4. Preparing Data for Indexing 5. Importing Data into Elasticsearch 6. Index Management: Creating, Updating, and Deleting Elasticsearch Indices 7. Search Capabilities: Mastering Query DSL and Search Techniques 8. Handling Geo with Elasticsearch 9. Analyzing Data with Elasticsearch Aggregations 10. Performance Tuning 11. Administration: Managing Elasticsearch Clusters

Learning Elasticsearch

Author : Abhishek Andhavarapu
Publisher : Packt Publishing Ltd
ISBN 13 : 1787129918
Total Pages : 396 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Learning Elasticsearch by : Abhishek Andhavarapu

Download or read book Learning Elasticsearch written by Abhishek Andhavarapu and published by Packt Publishing Ltd. This book was released on 2017-06-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Store, search, and analyze your data with ease using Elasticsearch 5.x About This Book Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications Create large-scale Elasticsearch clusters and perform analytics using aggregation This comprehensive guide will get you up and running with Elasticsearch 5.x in no time Who This Book Is For If you want to build efficient search and analytics applications using Elasticsearch, this book is for you. It will also benefit developers who have worked with Lucene or Solr before and now want to work with Elasticsearch. No previous knowledge of Elasticsearch is expected. What You Will Learn See how to set up and configure Elasticsearch and Kibana Know how to ingest structured and unstructured data using Elasticsearch Understand how a search engine works and the concepts of relevance and scoring Find out how to query Elasticsearch with a high degree of performance and scalability Improve the user experience by using autocomplete, geolocation queries, and much more See how to slice and dice your data using Elasticsearch aggregations. Grasp how to use Kibana to explore and visualize your data Know how to host on Elastic Cloud and how to use the latest X-Pack features such as Graph and Alerting In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments. Style and approach This comprehensive guide will get you started with Elasticsearch 5.x, so you build a solid understanding of the basics. Every topic is explained in depth and is supplemented with practical examples to enhance your understanding.

Mastering Elasticsearch 5.x

Author : Bharvi Dixit
Publisher : Packt Publishing Ltd
ISBN 13 : 1786468875
Total Pages : 423 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Mastering Elasticsearch 5.x by : Bharvi Dixit

Download or read book Mastering Elasticsearch 5.x written by Bharvi Dixit and published by Packt Publishing Ltd. This book was released on 2017-02-21 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions About This Book Master the searching, indexing, and aggregation features in ElasticSearch Improve users' search experience with Elasticsearch's functionalities and develop your own Elasticsearch plugins A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with ease Who This Book Is For If you have some prior working experience with Elasticsearch and want to take your knowledge to the next level, this book will be the perfect resource for you.If you are a developer who wants to implement scalable search solutions with Elasticsearch, this book will also help you. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book. What You Will Learn Understand Apache Lucene and Elasticsearch 5's design and architecture Use and configure the new and improved default text scoring mechanism in Apache Lucene 6 Know how to overcome the pitfalls while handling relational data in Elasticsearch Learn about choosing the right queries according to the use cases and master the scripting module including new default scripting language, painlessly Explore the right way of scaling production clusters to improve the performance of Elasticsearch Master the searching, indexing, and aggregation features in Elasticsearch Develop your own Elasticsearch plugins to extend the functionalities of Elasticsearch In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We'll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We'll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We'll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use. Style and approach This comprehensive guide covers intermediate and advanced concepts in Elasticsearch as well as their implementation. An easy-to-follow approach means you'll be able to master even advanced querying, searching, and administration tasks with ease.

Elasticsearch: The Definitive Guide

Author : Clinton Gormley
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449358527
Total Pages : 719 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Elasticsearch: The Definitive Guide by : Clinton Gormley

Download or read book Elasticsearch: The Definitive Guide written by Clinton Gormley and published by "O'Reilly Media, Inc.". This book was released on 2015-01-23 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application. More experienced users will pick up lots of advanced techniques. Throughout the book, you’ll follow a problem-based approach to learn why, when, and how to use Elasticsearch features. Understand how Elasticsearch interprets data in your documents Index and query your data to take advantage of search concepts such as relevance and word proximity Handle human language through the effective use of analyzers and queries Summarize and group data to show overall trends, with aggregations and analytics Use geo-points and geo-shapes—Elasticsearch’s approaches to geolocation Model your data to take advantage of Elasticsearch’s horizontal scalability Learn how to configure and monitor your cluster in production

Advanced Elasticsearch 7.0

Author : Wai Tak Wong
Publisher : Packt Publishing Ltd
ISBN 13 : 1789956560
Total Pages : 538 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Advanced Elasticsearch 7.0 by : Wai Tak Wong

Download or read book Advanced Elasticsearch 7.0 written by Wai Tak Wong and published by Packt Publishing Ltd. This book was released on 2019-08-23 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the intricacies of Elasticsearch 7.0 and use it to create flexible and scalable search solutions Key FeaturesMaster the latest distributed search and analytics capabilities of Elasticsearch 7.0Perform searching, indexing, and aggregation of your data at scaleDiscover tips and techniques for speeding up your search query performanceBook Description Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks. You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch. By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch. What you will learnPre-process documents before indexing in ingest pipelinesLearn how to model your data in the real worldGet to grips with using Elasticsearch for exploratory data analysisUnderstand how to build analytics and RESTful servicesUse Kibana, Logstash, and Beats for dashboard applicationsGet up to speed with Spark and Elasticsearch for real-time analyticsExplore the basics of Spring Data Elasticsearch, and understand how to index, search, and query in a Spring applicationWho this book is for This book is for Elasticsearch developers and data engineers who want to take their basic knowledge of Elasticsearch to the next level and use it to build enterprise-grade distributed search applications. Prior experience of working with Elasticsearch will be useful to get the most out of this book.

Getting Started with Elastic Stack 8.0

Author : Asjad Athick
Publisher : Packt Publishing Ltd
ISBN 13 : 1800564104
Total Pages : 474 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Getting Started with Elastic Stack 8.0 by : Asjad Athick

Download or read book Getting Started with Elastic Stack 8.0 written by Asjad Athick and published by Packt Publishing Ltd. This book was released on 2022-03-23 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use the Elastic Stack for search, security, and observability-related use cases while working with large amounts of data on-premise and on the cloud Key FeaturesLearn the core components of the Elastic Stack and how they work togetherBuild search experiences, monitor and observe your environments, and defend your organization from cyber attacksGet to grips with common architecture patterns and best practices for successfully deploying the Elastic StackBook Description The Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas. This three-part book starts with an introduction to the Elastic Stack with high-level commentary on the solutions the stack can be leveraged for. The second section focuses on each core component, giving you a detailed understanding of the component and the role it plays. You'll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. Next, you'll look at Logstash, Beats, and Elastic Agent as components that can collect, transform, and load data. Later chapters help you use Kibana as an interface to consume Elastic solutions and interact with data on Elasticsearch. The last section explores the three main use cases offered on top of the Elastic Stack. You'll start with a full-text search and look at real-world outcomes powered by search capabilities. Furthermore, you'll learn how the stack can be used to monitor and observe large and complex IT environments. Finally, you'll understand how to detect, prevent, and respond to security threats across your environment. The book ends by highlighting architecture best practices for successful Elastic Stack deployments. By the end of this book, you'll be able to implement the Elastic Stack and derive value from it. What you will learnConfigure Elasticsearch clusters with different node types for various architecture patternsIngest different data sources into Elasticsearch using Logstash, Beats, and Elastic AgentBuild use cases on Kibana including data visualizations, dashboards, machine learning jobs, and alertsDesign powerful search experiences on top of your data using the Elastic StackSecure your organization and learn how the Elastic SIEM and Endpoint Security capabilities can helpExplore common architectural considerations for accommodating more complex requirementsWho this book is for Developers and solutions architects looking to get hands-on experience with search, security, and observability-related use cases on the Elastic Stack will find this book useful. This book will also help tech leads and product owners looking to understand the value and outcomes they can derive for their organizations using Elastic technology. No prior knowledge of the Elastic Stack is required.

ElasticSearch Cookbook

Author : Alberto Paro
Publisher : Packt Publishing Ltd
ISBN 13 : 1782166637
Total Pages : 671 pages
Book Rating : 4.7/5 (821 download)

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Book Synopsis ElasticSearch Cookbook by : Alberto Paro

Download or read book ElasticSearch Cookbook written by Alberto Paro and published by Packt Publishing Ltd. This book was released on 2013-12-24 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in an engaging, easy-to-follow style, the recipes will help you to extend the capabilities of ElasticSearch to manage your data effectively. If you are a developer who implements ElasticSearch in your web applications, manage data, or have decided to start using ElasticSearch, this book is ideal for you. This book assumes that you’ve got working knowledge of JSON and Java

The Logstash Book

Author : James Turnbull
Publisher : James Turnbull
ISBN 13 : 0988820218
Total Pages : 253 pages
Book Rating : 4.9/5 (888 download)

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Book Synopsis The Logstash Book by : James Turnbull

Download or read book The Logstash Book written by James Turnbull and published by James Turnbull. This book was released on 2013-03-02 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated for Logstash and ELK 5.0.0! A book designed for SysAdmins, Operations staff, Developers and DevOps who are interested in deploying a log management solution using the open source Elasticsearch, Logstash & Kibana (ELK) stack. In this book we will walk you through installing, deploying, managing and extending Logstash. We're going to do that by introducing you to Example.com, where you're going to start a new job as one of its SysAdmins. The first project you'll be in charge of is developing its new log management solution. We'll teach you how to: * Install and deploy Logstash. * Ship events from a Logstash Shipper to a central Logstash server. * Filter incoming events using a variety of techniques. * Add structured logging to your applications. * Output those events to a selection of useful destinations. * Use Logstash's awesome web interface Kibana. * Scale out your Logstash implementation as your environment grows. * Quickly and easily extend Logstash to deliver additional functionality that you might need. By the end of the book, you should have a functional and effective log management solution that you can deploy into your own environment. Updated for Logstash and ELK 5.0.0!

Big Data on Kubernetes

Author : Neylson Crepalde
Publisher : Packt Publishing Ltd
ISBN 13 : 1835468993
Total Pages : 297 pages
Book Rating : 4.8/5 (354 download)

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Book Synopsis Big Data on Kubernetes by : Neylson Crepalde

Download or read book Big Data on Kubernetes written by Neylson Crepalde and published by Packt Publishing Ltd. This book was released on 2024-07-19 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and Trino Key Features Leverage Kubernetes in a cloud environment to integrate seamlessly with a variety of tools Explore best practices for optimizing the performance of big data pipelines Build end-to-end data pipelines and discover real-world use cases using popular tools like Spark, Airflow, and Kafka Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you. Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you’ll progress toward learning how to install Docker and run your first containerized applications. You’ll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You’ll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you’ll gain hands-on experience building a complete big data stack on Kubernetes. By the end of this Kubernetes book, you’ll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.What you will learn Install and use Docker to run containers and build concise images Gain a deep understanding of Kubernetes architecture and its components Deploy and manage Kubernetes clusters on different cloud platforms Implement and manage data pipelines using Apache Spark and Apache Airflow Deploy and configure Apache Kafka for real-time data ingestion and processing Build and orchestrate a complete big data pipeline using open-source tools Deploy Generative AI applications on a Kubernetes-based architecture Who this book is for If you’re a data engineer, BI analyst, data team leader, data architect, or tech manager with a basic understanding of big data technologies, then this big data book is for you. Familiarity with the basics of Python programming, SQL queries, and YAML is required to understand the topics discussed in this book.

Pro Couchbase Server

Author : David Ostrovsky
Publisher : Apress
ISBN 13 : 1484211855
Total Pages : 358 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Pro Couchbase Server by : David Ostrovsky

Download or read book Pro Couchbase Server written by David Ostrovsky and published by Apress. This book was released on 2015-11-27 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition is a hands-on guide for developers and administrators who want to use the power and flexibility of Couchbase Server 4.0 in their applications. The second edition extends coverage of N1QL, the SQL-like query language for Couchbase. It also brings coverage of multiple new features, including the new generation of client SDKs, security and LDAP integration, secondary indexes, and multi-dimensional scaling. Pro Couchbase Server covers everything you need to develop Couchbase solutions and deploy them in production. The NoSQL movement has fundamentally changed the database world in recent years. Influenced by the growing needs of web-scale applications, NoSQL databases such as Couchbase Server provide new approaches to scalability, reliability, and performance. Never have document databases been so powerful and performant. With the power and flexibility of Couchbase Server, you can model your data however you want, and easily change the data model any time you want. Pro Couchbase Server shows what is possible and helps you take full advantage of Couchbase Server and all the performance and scalability that it offers. Helps you design and develop a document database using Couchbase Server. Covers the latest features such as the N1QL query language. Gives you the tools to scale out your application as needed.

Mining Software Engineering Data for Software Reuse

Author : Themistoklis Diamantopoulos
Publisher : Springer Nature
ISBN 13 : 3030301060
Total Pages : 242 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Mining Software Engineering Data for Software Reuse by : Themistoklis Diamantopoulos

Download or read book Mining Software Engineering Data for Software Reuse written by Themistoklis Diamantopoulos and published by Springer Nature. This book was released on 2020-03-30 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance. The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data. Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effort through software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering.