ELK Stack Training

 

The ELK Stack has become a popular choice for organizations that need to manage and analyze large volumes of data generated by their systems, applications, and devices. It provides a scalable and flexible platform that can be used for a wide range of use cases, including IT operations monitoring, application performance monitoring, security monitoring, and more.

The course is designed for IT professionals, developers, and system administrators who want to learn how to work with the ELK Stack to manage and analyze log data. It is suitable for beginners who are new to the ELK Stack, as well as for experienced users who want to deepen their knowledge and skills.

The ELK Stack Training course is typically delivered through a combination of lectures, hands-on exercises, and demonstrations. The course content is organized into modules, and each module covers a specific topic. The course is typically delivered over several days, depending on the depth and breadth of the content.

By the end of the course, you will have a thorough understanding of the ELK Stack and its components, and you will be able to perform basic and advanced tasks, such as installing and configuring the ELK Stack, ingesting and indexing log data, visualizing and analyzing data using Kibana, and managing and monitoring the ELK Stack.

The ELK Stack Training course is valuable for organizations that need to manage and analyze large volumes of log data. It provides a practical and hands-on approach to learning the ELK Stack, and it equips participants with the skills and knowledge needed to apply the ELK Stack in their own work environments.

What will you learn in this ELK Stack Training?

In this ELK Stack Training, you will learn:

Introduction to the ELK Stack and its components, including Elasticsearch, Logstash, and Kibana.

How to install and configure each component of the ELK Stack.

How to ingest data into the ELK Stack using Logstash, including how to parse, filter, and transform log data before it is indexed in Elasticsearch.

How to index and search log data in Elasticsearch, including how to create and manage indexes, perform searches using the Elasticsearch query language, and use Elasticsearch APIs to access data.

How to use Kibana to visualize and analyze log data, including creating visualizations and dashboards, exploring data using Kibana's search and filter capabilities, and using Kibana's machine learning features to detect anomalies in data.

How to manage and monitor the ELK Stack, including performing maintenance tasks, troubleshooting issues, and monitoring the performance and health of the system.

Who should take this Oracle ELK Stack Training Course?

Professionals who are interested in switching their careers to data analytics under ELK Stack. Enterprises shifting their ecosystems to big data Stack can also take this course.

What are the prerequisites for taking this ELK Stack Course?

Basic BI tools understanding and data analysis understanding will be fine to take our course. Not specially required any sort of programming language. Familiarity with operations with data is preferred.

Why should you go for the ELK Stack Training Course?

You will be learning niche skills that help in upgrading your career with great hikes. For Learner perspective most of the enterprises are shifting their data management ecosystems to ELK Stacks.

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Salary as per Market

As per Paysa reports, An ELK Stack Engineer Elasticsearch earns an average of $64929, ranging from $64782 at the 25th percentile to $65075 at the 75th percentile, with top earners (the top 10%) earning more than $65208