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Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS

Jordan Yankovich

This course will introduce users to Elasticsearch in AWS and demonstrate how to easily build enterprise search and analytics solutions using Elasticsearch in the AWS ecosystem.

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This course will introduce users to Elasticsearch in AWS and demonstrate how to easily build enterprise search and analytics solutions using Elasticsearch in the AWS ecosystem.

AWS Elasticsearch is a lightning-fast real-time analytics and search engine. In this course, Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS, you'll learn foundational knowledge of AWS Elasticsearch. First, you'll gain the ability to upload, index, and search data using the service in AWS. Next, you'll discover how Kibana can be used to visualize large datasets in Elasticsearch. Finally, you'll learn how to create a fully functional search application powered by Elasticsearch and related AWS services. When you're finished with this course, you'll have the skills and knowledge of Elasticsearch on AWS needed to create custom search engines and real-time analytics dashboards.

GitHub link with all code used in demo's - https://github.com/JordanYankovich/Pluralsight-AWS-Elasticsearch-Product-Search

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What's inside

Syllabus

Course Overview
Contextualizing Elasticsearch
Creating a Simple Search
Creating a Robust Search Engine
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Strengthens an existing foundation for intermediate learners
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Builds a strong foundation for beginners
Develops professional skills or deep expertise in a particular topic or set of topics
If this course is multi-modal and includes a mix of media, such as videos, readings, discussions, etc
Provides hands-on and interactive learning experiences

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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 Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS with these activities:
Organize Your Course Materials
Compiling all course materials prior to beginning the course can help you become more familiar with the course's structure and organization, which can facilitate easier navigation as you progress through the course.
Show steps
  • Gather all available notes, assignments, and study materials
  • Organize materials into folders or sections
  • Review and familiarize yourself with the course organization and structure
Read Elasticsearch documentation
Familiarize yourself with the fundamentals of Elasticsearch before starting the course.
Browse courses on Elasticsearch
Show steps
  • Visit the Elasticsearch website and explore the documentation.
  • Read the Elasticsearch tutorial for beginners.
Review Basic Data Analytics Concepts
By reviewing basic data analytics concepts, you can ensure a strong foundational understanding of the concepts to be introduced in the course, which can make learning new material more meaningful and easier to retain.
Show steps
  • Revisit previous coursework and study materials on data analytics
  • Practice solving problems related to data analytics concepts
  • Identify areas where your knowledge may be weak and focus on reviewing those topics
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Connect with Elasticsearch experts
Seek guidance and support from experienced Elasticsearch professionals.
Browse courses on Elasticsearch
Show steps
  • Attend industry events or webinars to meet Elasticsearch experts.
  • Reach out to Elasticsearch professionals on LinkedIn or other social media platforms.
Follow Tutorials on Elasticsearch and AWS
Following tutorials on Elasticsearch and AWS can help you develop a stronger understanding of the practical applications of these technologies, which can make the course material more relatable and easier to grasp.
Browse courses on Elasticsearch
Show steps
  • Identify reputable sources for tutorials
  • Follow tutorials on specific topics related to Elasticsearch and AWS
  • Implement the concepts learned in the tutorials through hands-on practice
Create an Elasticsearch cluster
Gain hands-on experience by setting up your own Elasticsearch cluster on AWS.
Browse courses on Elasticsearch
Show steps
  • Sign up for an AWS account.
  • Create an Amazon Elasticsearch Service cluster.
  • Test your cluster by indexing and searching data.
Join an Elasticsearch study group
Connect with other students and discuss Elasticsearch concepts and best practices.
Browse courses on Elasticsearch
Show steps
  • Find a study group or create your own.
  • Meet regularly to discuss topics, share knowledge, and work on projects together.
Read "Elasticsearch: The Definitive Guide"
Deepen your understanding of Elasticsearch concepts and best practices by reading this comprehensive guide.
View Elasticsearch: The Definitive Guide: A... on Amazon
Show steps
  • Read chapters 1-3 to gain an overview of Elasticsearch.
  • Read chapters 4-6 to learn about indexing, searching, and analyzing data in Elasticsearch.
Build an analytics dashboard
Enhance your ability to analyze and visualize data by building a custom analytics dashboard using Elasticsearch.
Browse courses on Elasticsearch
Show steps
  • Define the metrics and data sources you want to track.
  • Create visualizations using Kibana or other data visualization tools.
  • Deploy and monitor your dashboard to gain insights from your data.
Build a simple search application
Apply your Elasticsearch skills by building a functional search application.
Browse courses on Elasticsearch
Show steps
  • Create a simple web application using HTML, CSS, and JavaScript.
  • Integrate Elasticsearch into your application for searching.
  • Deploy your application and test its search functionality.

Career center

Learners who complete Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS will develop knowledge and skills that may be useful to these careers:
Solutions Architect
Solutions Architects design and implement technology solutions that meet the needs of businesses. They work with clients to understand their business needs and then design and implement solutions that leverage AWS services, including Amazon Elasticsearch Service. This course may be helpful for Solutions Architects who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Solutions Architect
Data Architect
Data Architects design and manage data architectures for organizations. They work with data engineers and other IT professionals to design and implement data pipelines, data warehouses, and other data management solutions. This course may be helpful for Data Architects who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Data Architect
Data Scientist
Data Scientists use data to build models that can be used to make predictions and decisions. They work with data engineers and other IT professionals to gather, clean, and analyze data. This course may be helpful for Data Scientists who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Data Scientist
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with other IT professionals to design and implement solutions that meet the needs of businesses. This course may be helpful for Software Engineers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Software Engineer
Cloud Engineer
Cloud Engineers design and manage cloud computing solutions. They work with other IT professionals to design and implement solutions that leverage cloud computing services, including Amazon Elasticsearch Service. This course may be helpful for Cloud Engineers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Cloud Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They work with developers and operations professionals to design and implement solutions that are both efficient and reliable. This course may be helpful for DevOps Engineers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for DevOps Engineer
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and other stakeholders to define the product vision and roadmap. This course may be helpful for Product Managers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Product Manager
Business Analyst
Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. They work with stakeholders to define the project scope and requirements. This course may be helpful for Business Analysts who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Business Analyst
Data Analyst
Data Analysts use data to make informed decisions. They work with data scientists and other IT professionals to gather, clean, and analyze data. This course may be helpful for Data Analysts who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Data Analyst
Marketing Manager
Marketing Managers plan and execute marketing campaigns. They work with other stakeholders to develop and implement marketing strategies. This course may be helpful for Marketing Managers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Marketing Manager
Project Manager
Project Managers plan and execute projects. They work with stakeholders to define the project scope and requirements. This course may be helpful for Project Managers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Project Manager
Sales Manager
Sales Managers plan and execute sales campaigns. They work with other stakeholders to develop and implement sales strategies. This course may be helpful for Sales Managers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Sales Manager
Technical Writer
Technical Writers create documentation for software and other products. They work with engineers and other stakeholders to create documentation that is clear and concise. This course may be helpful for Technical Writers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Technical Writer
UX Designer
UX Designers design the user experience for software and other products. They work with engineers and other stakeholders to create products that are easy to use and enjoyable. This course may be helpful for UX Designers who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for UX Designer
Customer Service Representative
Customer Service Representatives provide support to customers. They work with customers to resolve issues and answer questions. This course may be helpful for Customer Service Representatives who want to learn more about Amazon Elasticsearch Service and how to use it to build search and analytics solutions.
See salaries and explore the career path for Customer Service Representative

Reading list

We've selected six 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 Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS.
Cover image
Elasticsearch: The Definitive Guide
Save
This comprehensive guide provides a deep dive into Elasticsearch's architecture, features, and use cases. It offers detailed explanations of data indexing, search queries, and cluster management, making it a valuable resource for both beginners and experienced users.
Elasticsearch: The Definitive Guide: A Distributed...
Paperback
$$
Elasticsearch: The Definitive Guide: A Distributed...
Kindle Edition
$$
Cover image
Elasticsearch in Action
Save
Offers a practical guide to using Elasticsearch for building search and analytics solutions. It covers topics such as data ingestion, indexing, searching, and visualizing data, making it a valuable resource for anyone getting started with Elasticsearch on AWS.
Elasticsearch in Action
Kindle Edition
$$
Cover image
Elasticsearch: The Definitive Guide
Save
Comprehensive guide to Elasticsearch, covering everything from the basics to advanced topics. It's a great resource for anyone who wants to learn more about Elasticsearch and how to use it effectively. It's particularly useful as a current reference.
Elasticsearch: The Definitive Guide
Paperback
Check
Elasticsearch: The Definitive Guide
Kindle Edition
Check
Cover image
Getting Started with Elastic Stack 8.0
Save
This beginner-friendly book provides a step-by-step introduction to Elasticsearch. It covers basic concepts, installation, configuration, and data management. The book also includes exercises and projects to help readers gain practical experience with Elasticsearch.
Getting Started with Elastic Stack 8.0: Run...
Kindle Edition
$$
Cover image
Elasticsearch in Action
Save
Provides a comprehensive overview of Elasticsearch for both beginners and experienced users. It covers a wide range of topics, including data modeling, indexing, searching, and cluster management. The book is written in a clear and concise style, making it accessible to readers with varying technical backgrounds.
Elasticsearch in Action
Paperback
Check
Elasticsearch in Action
Kindle Edition
Check
Cover image
Hadoop: The Definitive Guide
Save
While this book focuses primarily on Hadoop, it provides valuable background information on distributed data processing and storage. It covers concepts such as MapReduce, HDFS, and YARN, which are used in other distributed systems like Elasticsearch. can help learners understand the foundational principles behind modern search and analytics platforms.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$

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Course image
Time
106 hours
Level
Intermediate
Via
Pluralsight
Instructor
Jordan Yankovich
Language
English
This course belongs to a collection called AWS Big Data. It's comprised of nine courses:
  1. Getting Started with AWS Athena
  2. Implementing Amazon S3 Storage on AWS
  3. Building Your First Amazon Redshift Data Warehouse
  4. Developing Stream Processing Applications with AWS Kinesis
  5. AWS Big Data in Production
  6. Serverless Analytics on AWS
  7. Big Data on AWS: The Big Picture
  8. Handling and Analyzing Data with AWS Elastic MapReduce
  9. Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS (viewing)
Good to know
Strengthens an existing foundation for intermediate learners
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Builds a strong foundation for beginners
Develops professional skills or deep expertise in a particular topic or set of topics
If this course is multi-modal and includes a mix of media, such as videos, readings, discussions, etc
Provides hands-on and interactive learning experiences
Share and help others discover this course.
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