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A Cloud Guru
Following right on the heels of the Elastic Stack Essentials course, Elasticsearch Deep Dive will go hands-on by deploying and securing a mutli-node Elasticseach cluster. Next, we'll learn how to ingest data so that we can then search and aggregate it. Lastly, we'll learn some common Elasticsearch administration tasks like monitoring and troubleshooting.
Register for this course and see more details by visiting:
OpenCourser.com/course/29icx6/elasticsearch
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces best practices of setting up a secure and stable Elasticsearch cluster for production environment
Designed for learners with prior knowledge of the Elastic Stack
Taught by recognized experts in the field of Elasticsearch
Provides hands-on experience through the deployment, securing, and administration of an Elasticsearch cluster
Covers advanced topics such as data ingestion, search, aggregation, and troubleshooting
Suitable for engineers, architects, and anyone responsible for managing and optimizing Elasticsearch clusters
Save this course
Save Elasticsearch Deep Dive to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Elasticsearch Deep Dive with these
activities:
Practice using the Linux command line before starting this course
Show steps
Elasticsearch is typically run on Linux servers, so familiarity with the Linux command line is helpful.
Browse courses on
Linux
Show steps
-
Review the basics of the Linux command line.
-
Practice using the Linux command line to perform common tasks, such as creating and editing files, navigating the file system, and installing software.
Review the basics of data structures and algorithms before starting this course
Show steps
Data structures and algorithms are fundamental to understanding Elasticsearch's internal workings.
Browse courses on
Data Structures
Show steps
-
Review your notes or textbooks on data structures and algorithms.
-
Solve a few practice problems to test your understanding.
Learn more about Elasticsearch administration
Show steps
Review core concepts to better understand how Elasticsearch works at an operational level.
View
Elasticsearch: The Definitive Guide: A...
on Amazon
Show steps
-
Read chapters 1-3 to understand the basics of Elasticsearch's architecture and data model.
-
Read chapters 4-6 to learn about indexing, searching, and aggregating data.
-
Read chapters 7-9 to learn how to configure and manage Elasticsearch clusters.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice searching and aggregating data in Elasticsearch
Show steps
Improve your proficiency in using Elasticsearch's search and aggregation features.
Browse courses on
Elastic Stack
Show steps
-
Use the Elasticsearch documentation to learn about the different search and aggregation queries.
-
Write a series of search and aggregation queries to retrieve and analyze data from the sample datasets provided in the course.
Build a small Elasticsearch cluster
Show steps
Gain hands-on experience by setting up and configuring a small Elasticsearch cluster.
Browse courses on
Elastic Stack
Show steps
-
Follow the official Elasticsearch documentation to install and configure Elasticsearch on multiple machines.
-
Configure the cluster settings, such as the number of nodes, the type of storage, and the network configuration.
-
Test the cluster by indexing and searching data.
Follow tutorials on advanced Elasticsearch topics
Show steps
Expand your knowledge of Elasticsearch by exploring advanced topics.
Browse courses on
Elastic Stack
Show steps
-
Search for and identify tutorials on topics such as Elasticsearch security, performance tuning, and machine learning.
-
Follow the tutorials to learn how to implement these advanced features in your own Elasticsearch cluster.
Develop a small web application that uses Elasticsearch
Show steps
Apply your Elasticsearch skills to solve a real-world problem.
Browse courses on
Elastic Stack
Show steps
-
Identify a problem that can be solved using Elasticsearch.
-
Design and develop a small web application that uses Elasticsearch to solve the problem.
-
Deploy the application to a web server.
Practice using the Linux command line before starting this course
Show steps
Elasticsearch is typically run on Linux servers, so familiarity with the Linux command line is helpful.
Browse courses on
Linux
Show steps
Show steps
Show steps
- Review the basics of the Linux command line.
- Practice using the Linux command line to perform common tasks, such as creating and editing files, navigating the file system, and installing software.
Review the basics of data structures and algorithms before starting this course
Show steps
Data structures and algorithms are fundamental to understanding Elasticsearch's internal workings.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Review your notes or textbooks on data structures and algorithms.
- Solve a few practice problems to test your understanding.
Learn more about Elasticsearch administration
Show steps
Review core concepts to better understand how Elasticsearch works at an operational level.
View
Elasticsearch: The Definitive Guide: A...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to understand the basics of Elasticsearch's architecture and data model.
- Read chapters 4-6 to learn about indexing, searching, and aggregating data.
- Read chapters 7-9 to learn how to configure and manage Elasticsearch clusters.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice searching and aggregating data in Elasticsearch
Show steps
Improve your proficiency in using Elasticsearch's search and aggregation features.
Browse courses on
Elastic Stack
Show steps
Show steps
Show steps
- Use the Elasticsearch documentation to learn about the different search and aggregation queries.
- Write a series of search and aggregation queries to retrieve and analyze data from the sample datasets provided in the course.
Build a small Elasticsearch cluster
Show steps
Gain hands-on experience by setting up and configuring a small Elasticsearch cluster.
Browse courses on
Elastic Stack
Show steps
Show steps
Show steps
- Follow the official Elasticsearch documentation to install and configure Elasticsearch on multiple machines.
- Configure the cluster settings, such as the number of nodes, the type of storage, and the network configuration.
- Test the cluster by indexing and searching data.
Follow tutorials on advanced Elasticsearch topics
Show steps
Expand your knowledge of Elasticsearch by exploring advanced topics.
Browse courses on
Elastic Stack
Show steps
Show steps
Show steps
- Search for and identify tutorials on topics such as Elasticsearch security, performance tuning, and machine learning.
- Follow the tutorials to learn how to implement these advanced features in your own Elasticsearch cluster.
Develop a small web application that uses Elasticsearch
Show steps
Apply your Elasticsearch skills to solve a real-world problem.
Browse courses on
Elastic Stack
Show steps
Show steps
Show steps
- Identify a problem that can be solved using Elasticsearch.
- Design and develop a small web application that uses Elasticsearch to solve the problem.
- Deploy the application to a web server.
Career center
Learners who complete Elasticsearch Deep Dive will develop knowledge and skills
that may be useful to these careers:
Security Engineer
Security Engineer
A Security Engineer designs and implements security measures to protect an organization's information systems. They work with IT staff to identify and mitigate security risks. Elasticsearch Deep Dive can be useful in this career as it will teach you how to secure a multi-node Elasticsearch cluster. This will help you to gain the skills you need to succeed as a Security Engineer.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects an organization's information systems from cyberattacks. They use a variety of tools and techniques to identify and mitigate security risks. Elasticsearch Deep Dive can be useful in this career as it will teach you how to secure a multi-node Elasticsearch cluster. This will help you to gain the skills you need to succeed as an Information Security Analyst.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems for storing, processing, and analyzing data. They also work with data scientists to develop models and algorithms that can be used to extract insights from data. Elasticsearch Deep Dive can be useful in this career as it will teach you how to deploy and secure a multi-node Elasticsearch cluster. This will help you to gain the skills you need to succeed as a Data Engineer.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They ensure that databases are running smoothly and that data is safe and secure. Elasticsearch Deep Dive can be useful in this career as it will teach you how to deploy and secure a multi-node Elasticsearch cluster. This will help you to gain the skills you need to succeed as a Database Administrator.
Data Scientist
Data Scientist
A Data Scientist uses statistical and machine learning techniques to extract insights from data. They work with businesses to identify problems that can be solved using data, and then develop and implement solutions. Elasticsearch Deep Dive can be useful in this career as it will teach you how to ingest, search, and aggregate data. This will help you to gain the skills you need to succeed as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and builds machine learning models. They work with businesses to identify problems that can be solved using machine learning, and then develop and implement solutions. Elasticsearch Deep Dive can be useful in this career as it will teach you how to ingest, search, and aggregate data. This will help you to gain the skills you need to succeed as a Machine Learning Engineer.
Data Analyst
Data Analyst
A Data Analyst studies data to provide insights to businesses. They use a variety of tools to collect, clean, and analyze data, and then present their findings in a clear and concise way. Elasticsearch Deep Dive can be useful in this career as it will teach you how to ingest, search, and aggregate data. This will help you to gain the skills you need to succeed as a Data Analyst.
DevOps Engineer
DevOps Engineer
A DevOps Engineer works with developers and operations teams to ensure that software is deployed and maintained in a reliable and efficient manner. They use a variety of tools to automate tasks and improve communication between teams. Elasticsearch Deep Dive can be useful in this career as it will teach you how to deploy and secure a multi-node Elasticsearch cluster. This will help you to gain the skills you need to succeed as a DevOps Engineer.
Network Engineer
Network Engineer
A Network Engineer designs, builds, and maintains computer networks. They ensure that networks are running smoothly and that data is transmitted securely. Elasticsearch Deep Dive can be useful in this career as it will teach you how to deploy and secure a multi-node Elasticsearch cluster. This will help you to gain the skills you need to succeed as a Network Engineer.
Systems Administrator
Systems Administrator
A Systems Administrator manages and maintains computer systems. They ensure that systems are running smoothly and that data is safe and secure. Elasticsearch Deep Dive can be useful in this career as it will teach you how to deploy and secure a multi-node Elasticsearch cluster. This will help you to gain the skills you need to succeed as a Systems Administrator.
Product Manager
Product Manager
A Product Manager manages the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. Elasticsearch Deep Dive can be useful in this career as it will teach you how to search and aggregate data. This will help you to gain the skills you need to succeed as a Product Manager.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests software to ensure that it meets the requirements of users. They work with developers to identify and fix bugs. Elasticsearch Deep Dive can be useful in this career as it will teach you how to search and aggregate data. This will help you to gain the skills you need to succeed as a Quality Assurance Analyst.
Web Developer
Web Developer
A Web Developer designs and develops websites. They work with businesses to create websites that meet the needs of users. Elasticsearch Deep Dive may be useful in this career as it will teach you how to search and aggregate data. This will help you to gain the skills you need to succeed as a Web Developer.
Software Developer
Software Developer
A Software Developer designs, builds, and maintains software. They work with businesses to identify problems that can be solved using software, and then develop and implement solutions. Elasticsearch Deep Dive may be useful in this career as it will teach you how to ingest, search, and aggregate data. This will help you to gain the skills you need to succeed as a Software Developer.
Technical Writer
Technical Writer
A Technical Writer creates documentation for software and other technical products. They work with engineers and other technical staff to gather information and write clear and concise documentation. Elasticsearch Deep Dive may be useful in this career as it will teach you how to search and aggregate data. This will help you to gain the skills you need to succeed as a Technical Writer.
For more career information including salaries, visit:
OpenCourser.com/course/29icx6/elasticsearch
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Elasticsearch Deep Dive.
Is an excellent companion to the course as it provides a comprehensive overview of Elasticsearch, from its architecture to its administration. It great resource for both beginners and experienced users.
A practical, hands-on guide to designing, deploying, and maintaining Elasticsearch clusters.<br>provides valuable insights into data ingestion, indexing, querying, and scaling techniques.
Provides a collection of best practices for using Elasticsearch. It covers topics such as indexing, searching, and aggregation.
A comprehensive reference that covers the fundamentals of Elasticsearch along with advanced topics.<br>valuable resource for both beginners and experienced users looking to expand their knowledge.
Practical guide to using Elasticsearch, with a focus on real-world examples.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/29icx6/elasticsearch
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Time
1260 hours
Level
Advanced
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Good to know
Introduces best practices of setting up a secure and stable Elasticsearch cluster for production environment
Designed for learners with prior knowledge of the Elastic Stack
Taught by recognized experts in the field of Elasticsearch
Provides hands-on experience through the deployment, securing, and administration of an Elasticsearch cluster
Covers advanced topics such as data ingestion, search, aggregation, and troubleshooting
Suitable for engineers, architects, and anyone responsible for managing and optimizing Elasticsearch clusters
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