EBOOK
Machine Learning with the Elastic Stack
Expert techniques to integrate machine learning with distributed search and analytics
Rich Collier(0)
About
Gain valuable insights from your data with Elastic Stack's machine learning features
Key Features
Combine machine learning with the analytic capabilities of Elastic Stack to uncover actionable insights from your data
Preprocess and analyze large volumes of search data effortlessly
Improve the performance of your Elastic Stack with external analytical tools
Book Description
Elastic Stack, previously known as ELK stack, helps users ingest, process, and analyze search data effectively. With the flux of machine learning in its recent versions, Elastic Stack makes this process even more efficient. This book provides a comprehensive overview of Elastic Stack's machine learning features for anomaly detection and forecasting.
Machine Learning with the Elastic Stack starts by guiding you in installing and setting up Elastic Stack. You'll perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll 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'll be equipped with all the knowledge you need to incorporate machine learning in your distributed search solutions.
What you will learn
Install Elastic Stack to use machine learning features
Understand how Elastic machine learning is used to detect different types of anomalies
Apply effective anomaly detection to IT operations and security analytics
Explore Elastic machine learning for custom views, dashboards, and proactive alerting
Manage and administer your machine learning jobs on the Elasticsearch cluster
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 insights into Elasticsearch data without having to rely on a machine learning specialist or custom development, this book is for you. You'll also find this book useful if you want to integrate machine learning with your search and analytics applications. Some experience with the Elastic Stack is needed to get the most out of this book.
Key Features
Combine machine learning with the analytic capabilities of Elastic Stack to uncover actionable insights from your data
Preprocess and analyze large volumes of search data effortlessly
Improve the performance of your Elastic Stack with external analytical tools
Book Description
Elastic Stack, previously known as ELK stack, helps users ingest, process, and analyze search data effectively. With the flux of machine learning in its recent versions, Elastic Stack makes this process even more efficient. This book provides a comprehensive overview of Elastic Stack's machine learning features for anomaly detection and forecasting.
Machine Learning with the Elastic Stack starts by guiding you in installing and setting up Elastic Stack. You'll perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll 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'll be equipped with all the knowledge you need to incorporate machine learning in your distributed search solutions.
What you will learn
Install Elastic Stack to use machine learning features
Understand how Elastic machine learning is used to detect different types of anomalies
Apply effective anomaly detection to IT operations and security analytics
Explore Elastic machine learning for custom views, dashboards, and proactive alerting
Manage and administer your machine learning jobs on the Elasticsearch cluster
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 insights into Elasticsearch data without having to rely on a machine learning specialist or custom development, this book is for you. You'll also find this book useful if you want to integrate machine learning with your search and analytics applications. Some experience with the Elastic Stack is needed to get the most out of this book.