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LAST UPDATED: November 2023 - Elasticsearch Version 6

Elasticsearch is the biggest player in the big-data space since Hadoop. I would actually vouch that it's the Hadoop killer.

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LAST UPDATED: November 2023 - Elasticsearch Version 6

Elasticsearch is the biggest player in the big-data space since Hadoop. I would actually vouch that it's the Hadoop killer.

It's just now beginning to gain recognition and wider adoption in the no-sql big-data space and Elasticsearch has come a long way since it's first release. I'm sure that by just adding Elasticsearch on your linkedin profile your going to gain the attention of various companies investing in this technology. So get excited about Elasticsearch because it is a big deal. The average salary for an Elasticsearch engineer is over $100,000 and the demand for engineers is high.

This course is most suited for people that want to not only power-up their resume with this new and exciting technology but also powerup their applications to be blazing fast by implementing Elasticsearch correctly. I've designed this course to be practical and easy to follow by repeating key concepts with step by step instructions and best practices for building a search Engine from scratch.

By the end of this course you'll know everything there is to know about how to build a search engine using the most recent and popular version of Elasticsearch 6 for your application as well as how to perform powerful realtime analytics on your data.

With over 20,000 student and a 4.4 star rating, this is a Udemy best seller course with thousands of students who have benefitted from the content.

Don’t just take it from me, take it from the students that have taken this course.

Here’s reviews from real students that took this course

This is an awesome Masterclass. It provides all the basics to work with the ELK-Stack and gives a deep look in how the core Elasticsearch is working and how to use it. Thanks to some sketches he explains the structure behind the programs. Here he might use a tablet to make his drawings as professional as the rest of the course. Thanks for the great help.

Instructor explains topics concisely and in depth. He provides resources that you can visit while watching the lectures to get better understanding of the topics he discusses. In addition, he encourages students to do some examples (challenges) that will solidify their understanding of the topics discussed in the course so far.

The teacher is very clear and he explains with simplicity easy and difficult concepts

Walked me through step by step in one lesson. I now have Kibana and Elasticsearch running locally. Awesome..

The instructor is very detailed and goes at pace that is easy to manage and follow along without adding excessive length to the course.

Highly recommended for the people who wants to understand the eleastic seach . I am very happy with the course. When I started I had no idea about the subject but now i'm feeling confident about it. Imtiaz teaching style is great. You will simply love it.

Topics covered in this course:

  • Setting up Elaticsearch and Kibana

  • Downloading and Configuring Logstash

  • Logstash

  • Kibana

  • Indexing, Retrieving and Deleting Documents

  • Text Analysis

  • Index Settings

  • Index Mapping

  • Searching DSL Query Context

  • Searching DSL Filter Context

  • Aggregations DSL

  • Indexing Apache Application Logs

  • Kibana Visualizations

  • Using Filebeat

  • Older Elasticsearch 5 Material

 There is a 30 day money back guarantee, so if you're not satisfied for any reason, you get your money back no questions asked.

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What's inside

Learning objectives

  • Build an elasticsearch 6 cluster from scratch
  • Perform various searches using the query dsl
  • Perform powerful realtime analytics using the aggregations dsl
  • Combine filters, queries and aggregations and understand document relevancy and searching

Syllabus

Introduction
Lecture 1: Course Overview
Lecture 2: Setting up Elasticsearch and Kibana
Instructions for Windows Users
Read more
Alternative Methods to Install Elasticsearch
Dedicated TA Support
Join our Online Community (Discord)
Lecture 3: Overview of Elasticsearch
Learn how the inverted is managed in Elasticsearch with analyzers
Lecture 4: Indexing, Retrieving and Deleting Documents
Lecture 5: Components of an Index
Lecture 6: Distributed Execution of Requests
Lecture 7: Text Analysis for Indexing and Searching
In this section you'll learn everything there is to know about defining your index structure with mappings and field types
Lecture 8: Index Settings and Mappings - Part 1
Lecture 9: Index Settings and Mappings - Part 2
You'll learn about the Elasticsearch query components such as the query and Filter DSL Components
Follow these instructions before starting Lecture 10
Lecture 10: Search DSL Query Context
Lecture 11: Search DSL Query Context (Part 2)
Lecture 12: Search DSL Filter Context
Follow these instructions before watching Lecture 13.
Lecture 13: Aggregations DSL (Part 1)
Lecture 14: Aggregations DSL (Part 2)
You'll learn how to configure Logstash to ingest real world data and create beautiful Infographics such as pie charts, bar graphs, line charts, maps etc.
Lecture 15: Download and Configure Logstash
Lecture 16: Logstash Overview and Indexing Apache Application Logs
Using Logstash for indexing CSV file data
Lecture 17: Overview of Kibana Visualizations and Dashboards
Lecture 18: More on Kibana Visualizations and Dashboards
Lecture 19: Architecting the Elastic Stack
Lecture 20: Setting up Filebeat
Lecture 21: Using Filebeat with Logstash
Course Extras!
Bonus Lecture

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation for beginners who want to get started with Elasticsearch
Strengthens an existing foundation for intermediate learners who want to learn advanced Elasticsearch topics
Develops professional skills and deep expertise in Elasticsearch, which are highly relevant for industry
Is up-to-date with version 6, which is still widely used in industry
Does not cover newer versions of Elasticsearch
Covers a comprehensive range of topics, from setting up Elasticsearch to performing advanced analytics

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Reviews summary

Elasticsearch with logstash and kibana

According to students, this course presents Elasticsearch with Logstash and Kibana in a way that's easy to understand with a well-paced delivery. One reviewer commented that the presenter was good.
Instructor communicates clearly.
"Good presenter."
"Easily understood and tempo was excellent."

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 Complete Elasticsearch Masterclass with Logstash and Kibana with these activities:
Review text analysis techniques
Refresh foundational knowledge in text analysis techniques, ensuring a strong understanding of how Elasticsearch processes and analyzes text data.
Browse courses on Text Analysis
Show steps
  • Review materials on text analysis
  • Practice text analysis using tools or online resources
Review fundamentals of distributed computing
Refresh knowledge on distributed computing principles, providing a solid foundation for understanding how Elasticsearch manages data across multiple nodes.
Browse courses on Distributed Computing
Show steps
  • Review notes or textbooks on distributed computing
  • Explore online resources or videos on the topic
Perform complex Elasticsearch search queries
Enhance search capabilities by mastering advanced Elasticsearch search techniques, enabling efficient and precise retrieval of data.
Show steps
  • Construct complex queries using the Query DSL
  • Utilize filters and aggregations to refine search results
  • Optimize search performance through query analysis
Show all three activities

Career center

Learners who complete Complete Elasticsearch Masterclass with Logstash and Kibana will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts gather, organize, and interpret large amounts of data to identify patterns, trends, and other useful information. This course will help Data Analysts succeed by providing them with the skills to build an Elasticsearch cluster from scratch, perform various searches using the query DSL, perform powerful realtime analytics using the Aggregations DSL, and combine Filters, Queries, and Aggregations.
Software Developer
Software Developers build and maintain computer applications and software. This course will help Software Developers succeed by providing them with the skills to set up Elasticsearch and Kibana, download and configure Logstash, index, retrieve, and delete documents, perform text analysis, and use the Index Settings and Mappings.
Systems Engineer
Systems Engineers design, implement, and maintain computer systems. This course will help Systems Engineers succeed by providing them with the skills to set up an Elasticsearch cluster, configure Logstash, use Kibana visualizations, and set up Filebeat.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course will help Data Scientists succeed by providing them with the skills to perform powerful realtime analytics using the Aggregations DSL, combine Filters, Queries, and Aggregations, and understand document relevancy and searching.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful for Database Administrators by providing them with the skills to set up an Elasticsearch cluster, index, retrieve, and delete documents, and use the Index Settings and Mappings.
Information Architect
Information Architects design and organize the structure and content of websites and other information systems. This course may be useful for Information Architects by providing them with the skills to set up Elasticsearch and Kibana, download and configure Logstash, and use Kibana visualizations.
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing systems. This course may be useful for Cloud Engineers by providing them with the skills to set up an Elasticsearch cluster, configure Logstash, and set up Filebeat.
Web Developer
Web Developers design and develop websites. This course may be useful for Web Developers by providing them with the skills to set up Elasticsearch and Kibana, and use Kibana visualizations.
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. This course may be useful for Business Analysts by providing them with the skills to gather, organize, and interpret large amounts of data to identify patterns, trends, and other useful information.
Project Manager
Project Managers plan, execute, and close projects. This course may be useful for Project Managers by providing them with the skills to set up an Elasticsearch cluster, configure Logstash, and set up Filebeat.
Technical Writer
Technical Writers create technical documentation, such as user manuals, white papers, and website content. This course may be useful for Technical Writers by providing them with the skills to gather, organize, and interpret large amounts of data to identify patterns, trends, and other useful information.
Salesforce Administrator
Salesforce Administrators manage and maintain Salesforce systems. This course may be useful for Salesforce Administrators by providing them with the skills to set up Elasticsearch and Kibana, download and configure Logstash, and use Kibana visualizations.
Cybersecurity Analyst
Cybersecurity Analysts protect computer systems and networks from cyberattacks. This course may be useful for Cybersecurity Analysts by providing them with the skills to set up an Elasticsearch cluster, configure Logstash, and set up Filebeat.
Network Administrator
Network Administrators manage and maintain computer networks. This course may be useful for Network Administrators by providing them with the skills to set up an Elasticsearch cluster, configure Logstash, and set up Filebeat.
IT Support Specialist
IT Support Specialists provide technical support to users of computer systems and networks. This course may be useful for IT Support Specialists by providing them with the skills to set up an Elasticsearch cluster, configure Logstash, and set up Filebeat.

Reading list

We've selected ten 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 Complete Elasticsearch Masterclass with Logstash and Kibana.
Comprehensive guide to Elasticsearch, covering everything from installation and configuration to advanced topics like data analysis and security.
Comprehensive guide to Logstash, covering everything from installation and configuration to advanced topics like data processing and analytics.
Practical guide to Elasticsearch, and provides step-by-step instructions for using the technology. It good choice for beginners who want to learn how to use Elasticsearch.
Provides a comprehensive overview of data mining, and covers a wide range of topics, from data preprocessing to model evaluation. It good choice for anyone who wants to learn more about data mining.
Provides a comprehensive overview of computer vision, and covers a wide range of topics, from image processing to object recognition. It good choice for anyone who wants to learn more about computer vision.
Provides a comprehensive overview of speech and language processing, and covers a wide range of topics, from speech recognition to natural language understanding. It good choice for anyone who wants to learn more about speech and language processing.
Provides a comprehensive overview of natural language processing, and covers a wide range of topics, from text classification to machine translation. It good choice for anyone who wants to learn more about natural language processing.
Provides a comprehensive overview of operating systems, and covers a wide range of topics, from process management to memory management. It good choice for anyone who wants to learn more about operating systems.
Provides a comprehensive overview of deep learning, and covers a wide range of topics, from neural networks to reinforcement learning. It good choice for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of database systems, and covers a wide range of topics, from data models to query processing. It good choice for anyone who wants to learn more about database systems.

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