Machine Learning with the Elastic Stack (eBook)
304 Seiten
Packt Publishing (Verlag)
978-1-78847-177-0 (ISBN)
Leverage Elastic Stack's machine learning features to gain valuable insight from your data
Key Features
- Combine machine learning with the analytic capabilities of Elastic Stack
- Analyze large volumes of search data and gain actionable insight from them
- Use external analytical tools with your Elastic Stack to improve its performance
Book Description
Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.
As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure.
By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly.
What you will learn
- Install the Elastic Stack to use machine learning features
- Understand how Elastic machine learning is used to detect a variety of anomaly types
- Apply effective anomaly detection to IT operations and security analytics
- Leverage the output of Elastic machine learning in custom views, dashboards, and proactive alerting
- Combine your created jobs to correlate anomalies of different layers of infrastructure
- Learn various tips and tricks to get the most out of Elastic machine learning
Who this book is for
If you are a data professional eager to gain insight on Elasticsearch data without having to rely on a machine learning specialist or custom development, Machine Learning with the Elastic Stack is for you. Those looking to integrate machine learning within their search and analytics applications will also find this book very useful. Prior experience with the Elastic Stack is needed to get the most out of this book.
Leverage Elastic Stack's machine learning features to gain valuable insight from your dataKey FeaturesCombine machine learning with the analytic capabilities of Elastic StackAnalyze large volumes of search data and gain actionable insight from themUse external analytical tools with your Elastic Stack to improve its performanceBook DescriptionMachine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure.By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly.What you will learnInstall the Elastic Stack to use machine learning featuresUnderstand how Elastic machine learning is used to detect a variety of anomaly typesApply effective anomaly detection to IT operations and security analyticsLeverage the output of Elastic machine learning in custom views, dashboards, and proactive alertingCombine your created jobs to correlate anomalies of different layers of infrastructureLearn various tips and tricks to get the most out of Elastic machine learningWho this book is forIf you are a data professional eager to gain insight on Elasticsearch data without having to rely on a machine learning specialist or custom development, Machine Learning with the Elastic Stack is for you. Those looking to integrate machine learning within their search and analytics applications will also find this book very useful. Prior experience with the Elastic Stack is needed to get the most out of this book.
| Erscheint lt. Verlag | 31.1.2019 |
|---|---|
| Sprache | englisch |
| Themenwelt | Sachbuch/Ratgeber ► Freizeit / Hobby ► Sammeln / Sammlerkataloge |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Elasticsearch • elasticsearch machine learning • Elastic Stack • elastic stack integration • Kibana • logstash • machine learning • Time-series analysis • Xpack |
| ISBN-10 | 1-78847-177-6 / 1788471776 |
| ISBN-13 | 978-1-78847-177-0 / 9781788471770 |
| Haben Sie eine Frage zum Produkt? |
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Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belletristik und Sachbüchern. Der Fließtext wird dynamisch an die Display- und Schriftgröße angepasst. Auch für mobile Lesegeräte ist EPUB daher gut geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür die kostenlose Software Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür eine kostenlose App.
Geräteliste und zusätzliche Hinweise
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
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