Master AWS Elasticsearch 8 - [2024] from Udemy

Course Description:

Unlock the full potential of AWS Elasticsearch 8 in this comprehensive, hands-on course designed for both beginners and seasoned professionals. Explore how to build scalable, efficient search and analytics solutions on AWS with one of the most powerful search engines available. This course will guide you step-by-step through all the essential features, from setting up your Elasticsearch domain to securing your data.

What You'll Learn:

Introduction to AWS Elasticsearch: Understand the core concepts and benefits of AWS Elasticsearch, how to set it up, and how to work with domains to efficiently manage your data.
Creating and Configuring Indices: Master the process of creating, configuring, and managing indices in Elasticsearch, including mapping types, indexing, updating, and deleting documents.
Searching and Analyzing Data: Dive deep into the Query DSL, filtering, sorting, aggregations, and metrics, and learn how to perform powerful full-text searches. Gain insights with Kibana to analyze your data visually.
Monitoring and Scaling: Learn how to monitor your cluster's health, scale your Elasticsearch deployment, and optimize performance through tuning, backups, and managing indices and shards.
Security and Compliance: Ensure the security and compliance of your Elasticsearch cluster with authentication, encryption, auditing, and best practices for securing both Elasticsearch and Kibana.

By the end of this course, you'll be equipped with the knowledge and skills to deploy, scale, monitor, and secure Elasticsearch clusters on AWS, making you proficient in handling real-world use cases for search and analytics.

What's inside

Learning objectives

Deploy and configure aws elasticsearch domains for scalable search and analytics solutions.
Index, search, and analyze large datasets using elasticsearch's powerful querying capabilities.

Implement advanced search features such as filtering, sorting, and aggregations in elasticsearch 8.
Optimize the performance of elasticsearch clusters and ensure security with access policies and encryption. these objectives clear

Deploy and configure aws elasticsearch domains for scalable search and analytics solutions.
Index, search, and analyze large datasets using elasticsearch's powerful querying capabilities.
Implement advanced search features such as filtering, sorting, and aggregations in elasticsearch 8.
Optimize the performance of elasticsearch clusters and ensure security with access policies and encryption. these objectives clear

Syllabus

What is AWS Elastic Search

Introduction to AWS Elastic Search

Setting up AWS Elastic Search - Demo

Benefits of using AWS Elastic Search

Setting up AWS Elastic Search

Setting Up OpenSearch - Demo

Understanding Elasticsearch Domain

Querying data in Elastic Search

Creating and Configuring Index

Creating an index

Configuring index settings

Creating an index & Configuring index settings - Demo

Mapping types in index

Mapping types in index - Demo

Indexing documents

Indexing documents - Demo

Updating and deleting documents

Updating and deleting documents - Demo

Searching and Analyzing Data

Query DSL in Elastic Search

Query DSL in Elastic Search - Demo

Filtering and Sorting results

Filtering and Sorting results - Demo

Aggregations and Metrics

Aggregations and Metrics - Demo

Full-text search in Elastic Search

Full-text search in Elastic Search - Demo

Analyzing data with Kibana

Monitoring and Scaling Elastic Search

Monitoring cluster health

Monitoring cluster health - Demo

Scaling Elastic Search cluster

Scaling Elastic Search cluster - Demo

Performance tuning in Elastic Search

Performance tuning in Elastic Search - Demo

Cluster backups and restores

Managing indices and shards

Managing indices and shards - Demo

Security and Compliance

Setting up authentication and authorization

Encrypting data in transit and at rest

Auditing and compliance in Elastic Search

Securing Kibana dashboards

Managing Access Controls with AWS Identity and Access Management (IAM)

Best practices for securing Elastic Search

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers Elasticsearch 8, which is the latest version, ensuring learners gain skills relevant to current industry standards and practices for building search and analytics solutions

Teaches how to deploy, scale, monitor, and secure Elasticsearch clusters on AWS, equipping learners with skills applicable to real-world search and analytics use cases

Includes hands-on demos for setting up AWS Elasticsearch and OpenSearch, providing practical experience in configuring and managing these search engines

Explores security and compliance aspects, such as authentication, encryption, auditing, and IAM, which are crucial for protecting sensitive data in Elasticsearch clusters

Requires familiarity with AWS services, which may necessitate prior experience or coursework in cloud computing for learners to fully grasp the concepts

Focuses on Elasticsearch 8, so learners using older versions may need to adapt the techniques and configurations to their specific environments

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 Master AWS Elasticsearch 8 - [2024] with these activities:

Review Core AWS Concepts

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Solidify your understanding of core AWS services like EC2, S3, and IAM to better grasp how Elasticsearch integrates within the AWS ecosystem.

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Review the AWS Certified Cloud Practitioner exam guide.
Complete a practice exam for AWS fundamentals.

Read 'AWS Certified Solutions Architect - Associate SAA-C03 Exam Guide'

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Gain a broader understanding of AWS architecture to better integrate Elasticsearch into your cloud solutions.

View AWS Certified Solutions Architect Study Guide... on Amazon

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Focus on the chapters related to storage, compute, and networking.
Take practice quizzes to assess your understanding.

Read 'Elasticsearch: The Definitive Guide'

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Deepen your understanding of Elasticsearch internals to better leverage AWS Elasticsearch's managed service.

View Elasticsearch: The Definitive Guide: A... on Amazon

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Read the chapters on indexing and searching.
Experiment with the examples provided in the book.

Four other activities

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Practice Query DSL Exercises

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Sharpen your Query DSL skills to efficiently search and analyze data within your AWS Elasticsearch domain.

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Set up a local Elasticsearch instance for testing.
Work through a series of increasingly complex query exercises.
Compare your solutions with the official documentation.

Document Your Elasticsearch Setup

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Reinforce your learning by documenting the steps you took to set up and configure your AWS Elasticsearch domain.

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Create a document outlining your AWS Elasticsearch setup.
Include screenshots and code snippets for clarity.
Share your documentation with peers for feedback.

Build a Log Analytics Dashboard

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Apply your knowledge by building a real-world log analytics dashboard using AWS Elasticsearch and Kibana.

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Collect log data from a sample application.
Index the log data into your AWS Elasticsearch domain.
Create visualizations and dashboards in Kibana to analyze the logs.

Contribute to Elasticsearch Documentation

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Deepen your understanding by contributing to the Elasticsearch or OpenSearch documentation.

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Identify an area in the documentation that needs improvement.
Submit a pull request with your proposed changes.
Respond to feedback from the maintainers.

Career center

Learners who complete Master AWS Elasticsearch 8 - [2024] will develop knowledge and skills that may be useful to these careers:

Search Engineer

A Search Engineer designs, develops, and maintains search systems. This course will help a Search Engineer learn to leverage Elasticsearch for building scalable search solutions, covering essential features such as setting up domains, creating and managing indices, and performing powerful full text searches. This course is particularly useful as it teaches how to perform full text searches, use query DSL, and to analyze data with Kibana. A Search Engineer who has taken this course will better understand how to deploy, scale, monitor, and secure Elasticsearch clusters on AWS.

See salaries and explore the career path for Search Engineer

Data Engineer

A Data Engineer builds and maintains data infrastructure, and this course can help one learn how to leverage AWS Elasticsearch for scalable data solutions. The course teaches how to manage indices, map types, and index documents. This course allows a Data Engineer to learn how to analyze data with Kibana and to monitor a cluster's health. Data Engineers often work to deploy, scale, and secure systems, all of which are covered in depth in this course. This course offers hands-on experience with AWS Elasticsearch which can translate to significant success for those in this role.

See salaries and explore the career path for Data Engineer

Cloud Engineer

A Cloud Engineer is responsible for designing, implementing, and managing cloud infrastructure. This course helps a Cloud Engineer understand how to implement and manage Elasticsearch domains on AWS and how to secure these domains. The course will help guide a Cloud Engineer through essential features such as setting up an Elasticsearch domain, configuring indices, and ensuring security. A Cloud Engineer who wishes to know the ins and outs of AWS will find this course very helpful, as it teaches how to monitor and scale Elasticsearch clusters.

See salaries and explore the career path for Cloud Engineer

Backend Engineer

Backend Engineers work on the server side of applications and often need to implement search and data analysis capabilities. This course helps a Backend Engineer to learn how to deploy, scale, monitor, and secure Elasticsearch clusters on AWS, which are all valuable skills in this field. The course will help a Backend Engineer understand how to use query DSL, filtering, sorting, aggregations, and metrics, which are important aspects of building efficient search capabilities. A Backend Engineer could use this course to make the necessary transition to working with Elasticsearch.

See salaries and explore the career path for Backend Engineer

System Administrator

A System Administrator is responsible for the upkeep, configuration, and reliable operation of computer systems. This course helps a System Administrator to learn how to set up and manage an Elasticsearch domain on AWS. This course covers topics such as monitoring a cluster's health, scaling Elasticsearch deployments, and managing indices and shards. A System Administrator will find the lessons on security and compliance useful as they are essential to the management of any system. A System Administrator would be able to use the knowledge gained from this course to keep these systems running smoothly.

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Database Administrator

A Database Administrator is responsible for the performance, integrity, and security of a database. This course will equip a Database Administrator with a knowledge of how to deploy, scale, monitor, and secure Elasticsearch clusters on AWS. This course can help with the day-to-day tasks of a Database Administrator role by covering how to manage indices and shards, which is critical to database performance. A Database Administrator who takes this course will learn how to keep their data secure by following best practices covered in this course.

See salaries and explore the career path for Database Administrator

Analytics Engineer

An Analytics Engineer transforms raw data into insights. This course provides essential skills such as managing indices, performing aggregations, and using Kibana for data analysis. An Analytics Engineer would be able to use the skills learned from this course to perform in depth data analysis. This is a good course for an Analytics Engineer to take as it shows how to use Elasticsearch to its full potential.

See salaries and explore the career path for Analytics Engineer

Data Analyst

A Data Analyst interprets data to derive insights and recommendations. This course may help a Data Analyst by providing practical knowledge of how to analyze data with Elasticsearch and Kibana. This course will teach how to use query DSL, filtering, sorting, aggregations, and metrics when performing analysis. This course will also give a Data Analyst an entry into cloud based solutions, which are increasingly important in modern business. A Data Analyst will benefit from learning the in depth features of Elasticsearch provided in this course.

See salaries and explore the career path for Data Analyst

Software Developer

A Software Developer writes the code for applications. This course may be useful for a Software Developer who needs to integrate search and analytics capabilities into their applications. This course will help a Software Developer to understand how to use AWS Elasticsearch, and will provide hands-on experience that is often needed in this role. A Software Developer will be able to use their understanding of Elasticsearch gained from this course to build robust and scalable applications. This course offers a comprehensive look at deploying and maintaining Elasticsearch.

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DevOps Engineer

A DevOps Engineer works to improves collaboration between development teams and operations teams. This course may be useful for a DevOps Engineer, because it teaches many aspects of managing a live system in the cloud. The course will cover scaling Elasticsearch deployments, performance tuning, and managing indices and shards. The course also discusses best practices for securing Elasticsearch and Kibana, which will be useful for a DevOps Engineer. This course offers hands-on practical advice for making production systems robust.

See salaries and explore the career path for DevOps Engineer

Technical Support Engineer

A Technical Support Engineer provides technical assistance to customers. This course may be useful for a Technical Support Engineer who needs to understand how systems work in order to better assist their customers. This course provides a look into the AWS ecosystem to help a Technical Support Engineer with these tasks. This course provides insight into the technologies a Technical Support Engineer might encounter. This course can help Technical Support Engineers better understand concepts used in databases which are useful in that role.

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Solutions Architect

A Solutions Architect designs complex systems. This course may be useful for a Solutions Architect as it covers important concepts of using a cloud-based search and analytics engine like Elasticsearch. This course will help a Solutions Architect understand how to deploy, scale, and secure Elasticsearch clusters on AWS. This course demonstrates cloud based systems which are critical for a solutions architect to understand. A solutions architect would do well to take this course for its insights into system design.

See salaries and explore the career path for Solutions Architect

Business Intelligence Analyst

A Business Intelligence Analyst leverages data analysis to inform business decisions. This course may be useful for a Business Intelligence Analyst who wish to analyze data from Elasticsearch to improve business outcomes. This course teaches how to perform full-text searches as well as to use Kibana, which will aid in analysis. This course offers a deep dive into working with data which would benefit a Business Intelligence Analyst.

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Data Scientist

A Data Scientist uses data to build models and predict outcomes. This course may be useful for a Data Scientist who wishes to understand how to use Elasticsearch for data analysis and data handling. This course will help a Data Scientist understand the query DSL and how to use aggregations, which are important steps in data analysis. This course offers an in depth look into querying which is important for data scientists.

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Product Manager

A Product Manager is responsible for the strategy, roadmap, and feature definition of a product. This course may be useful for a Product Manager who is working on a product that uses Elasticsearch or a similar technology. This course could be helpful in understanding the features and capabilities of Elasticsearch. A Product Manager will gain an understanding of complex technical systems by taking this course which will help in this role.

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Master AWS Elasticsearch 8 - [2024]

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