Introduction to ELK stack

You will learn the introduction of  ELK stack and also you will understand the core concepts and the technology behind it. This will help the tutees in learning ELK architecture and various implementation of ELK stack in companies.

Objectives: Upon completing this lesson, you should be able to:

• Introduce ELK stack
• Learn about Architecture of ELK stack
• Understand various ELK terminology
• Learn the basics of Elastic Search, Logstash and Kibana
• Understand ELK stack use case

Topics:
• Introduction to ELK stack
• Why ELK?
• Architecture of ELK
• High level overview of

o Elastic Search
o Logstash
o Kibana

Parsing with Logstach

In this module, You will learn the basic concepts of ELK stack. This module will give a basic introduction to Logstash and guide through the process of installing Logstash and verifying that everything is running properly. After learning how to stash your first event, you can go on to create a more advanced pipeline that takes Apache web logs as input, parses the logs, and writes the parsed data to an Elasticsearch cluster. Then you learn how to stitch together multiple input and output plugins to unify data from a variety of disparate sources.

Objectives: At the end of this lesson, you should be able to:

• Install and verify running of Logstash on your machine
• Learn to stash first event
• Create a more advanced pipeline that takes Apache web logs as input, parses the logs, and writes the parsed data to an Elasticsearch cluster.
• Learn how to stitch together multiple input and output plugins to unify data from a variety of disparate sources

Topics:
• Introduction to Logstash
• Installing Logstash
• Configuring a log file
• Stashing your First Event
• Parsing Logs with Logstash
• Stitching together Multiple Input and Output
• Plugins
• Execution Model

Hands On:
• Step by step guide to install Logstash on your machine
• Configure the log file
• Stash your first event in Logstash
• Parsing Logs with Logstash
• Installing FileBeats and configuring it to work with Logstash
• Configuring Grok Plugin

Searching with Elastic

In this module you will learn the overview of the ELK stack, along with deep understanding of each component of the stack. Here, Our instructior will help you getting started, with a brief introduction to Elastic Search with a use-case.

Objectives: At the end of this module, you should be able to:

• Enable Multi Value tags, Numbers, and Full text
• Retrieve the full details of any employee
• Perform Structured search
• Learn about full-text search
• Return highlighted search snippets

Topics:
• Elastic Search Overview
• Installing and running Elastic Search
• Indexing Documents
• Retrieving a Document
• Searching a Document

Hands On:
• Installing and running Elastic Search
• Indexing Documents
• Retrieving Full Document
• Retrieving a part of Document
• Checking Document Existence
• Updating a Document
• Deleting a Document
• Searching a Document (Overview)

Searching in Depth

In this module, You will be learning searching in depth.  You will get to explore more about Elastic Search. You will not only learn the match query. You will also get to understand the data and run search query through it. This module will explains you, how to index and query your data to allow her to take advantage of word proximity, partial matching, fuzzy matching, and language awareness.

Objectives: At the end of this module, you should be able to:

• Perform Structured Search using Elastic search
• Deploy and understand full text search query
• Know your data with multifield search
• Find associated words
• Understand partial matching query

Topics:
• Structured Search
• Full text Search
• Complicated Search
• Phrase Search
• Highlighting our Search
• Multi-field Search
• Proximity Matching
• Partial Matching

Hands On:
Above all topics are hands-on intensive

Dealing with Human Language

In this module, You will be solving the issues instructed by the training . Also you will learn how to deal with human language for improving performance.

Objectives: At the end of this lesson, you should be able to:

• Remove diacritics like ´, ^, and ¨ so that a search for rôle will also match role, and vice versa using Normalizing Tokens.
• Remove the distinction between singular and plural—fox versus foxes—or between tenses—jumping versus jumped versus jumps—by stemming each word to its root form in Reducing Words to Their Root Form.
• Remove commonly used words or stopwords like the, and, and or to improve search performance in Stopwords: Performance Versus Precision.
• Including synonyms so that a query for quick could also match fast, or UK could match United Kingdom with the help of Synonyms.
• Check for misspellings or alternate spellings, or match on homophones—words that sound the same, like their versus there, meat versus meet versus mete using Typos and Misspellings.

Topics:
• Getting Started with languages
• Identifying Words
• Normalizing Tokens
• Reducing Words to their Root Form
• Stopwords: Performance versus Precision
• Synonyms
• Typos and Misspellings

Hands On:
Above all topics are hands-on intensive

Data Aggregation

In this module you will leaned all about how to search through data, now once data is searched you needs to get a higher-level overview of the dataset and perform queries on it to get her answers in near-real time. This will make your task very tedious and tiring. You will solve the problem by learning aggregation.

Aggregations will allow you to ask sophisticated questions of the data in near real time. With search, we have a query and we want to find a subset of documents that match the query. We are looking for the needle(s) in the haystack.

With aggregations, we zoom out to get an overview of our data. Instead of looking for individual documents, we want to analyze and summarize our complete set of data:

Objectives: At the end of this module you will be able to:

• Understand the concepts of buckets and metrics
• Build bar chart with buckets
• Look at the time using Date Histogram
• Filter queries and aggregation
• Sort multivalue bucket

Topics:

• High Level Concepts
• Getting started with Aggregation
• Time Analysis
• Filtering Queries and Aggregations
• Sorting Multivalue Buckets
• Approximate Aggregation
• Doc Values and Field Data

Hands On:
Above all topics are hands-on intensive

Data Modeling

In this module you will be working with SQL for handling relationships, the golden rule of relational database- normalize your data will be applicable in Elastic Search too. But as a matter of fact, this golden rule does not apply to Elastic Search. Joining entities at query time is expensive—the more joins that are required, the more expensive the query. Performing joins between entities that live on different hardware is so expensive that it is just not practical. In this module let’s discover how data is modelled in Elastic Search.

Objectives:
At the end of this lesson, you should be able to:

• Compare Elasticsearch with RDBMS
• Get the best search result by learning Denormalizing Data
• Perform action with Nested Objects
• Understand Parent-Child Relationship
• Finally conclude the module with concept of shards and replicas

Topics:

• Elastic Search vs RDBMS
• Handling Relationships
• Nested Objects
• Parent-Child Relationship
• Designing for Scale

Hands On:
Above all topics are hands-on intensive

Goal Location

The beauty of Elasticsearch is that it allows you to combine geolocation with full-text search, structured search, and analytics.

For instance: show me restaurants that mention PIZZA, BURGER, and are within a 5-minute walk, and are open at 11 p.m., and then rank them by a combination of user rating, distance, and price. In this module you will understand the geo location.

Objectives:
At the end of this module you will be able to:

• Understand the concepts of Geo Points
• Aggregate Geo Distance
• Understand Geohash and aggregate geohash grid
• Learn about different Geo Shapes

Topics:

• Geo Points
• Geohashes
• Geo Aggregations
• Geo Shapes

Hands On:
Above all topics are hands-on intensive

Visualization with Kibana

In this module, You will learn to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Objectives: At the end of this lesson, you should be able to:

• Install and Verify Kibana
• Ingest .json files into Elasticsearch
• Create different visualization
  – Pie Chart
  – Bar Chart
  – Coordinate Map
• Summarize the Dashboard

Topics:

• Introduction to Kibana
• Installing Kibana
• Loading Sample Data
• Discovering your Data
• Visualizing your Data
• Working with Dashboard

Hands On:
Using Kibana to create a dashboard

Implementing ELK Stack

In this module, You will learn to interact and explore your data from the Discover page. You have access to every document in every index that matches the selected index pattern. You can submit search queries, filter the search results, and view document data. You can also see the number of documents that match the search query and get field value statistics. If a time field is configured for the selected index pattern, the distribution of documents over time is displayed in a histogram at the top of the page.

Objectives:

• Search your Data in Kibana
• Understanding Metric Beat
• Comparing CPU time spent in user space with offset by an hour
• Understand Timeline and Analyzing Earthquake with ELK
• Extend what is possible with Elastic search using X-Pack
• Detect Fraud with X-Pack

Topics:

• Setting the Time Filter
• Searching your Data
• Filtering by Field
• Viewing Document Data
• Viewing Document Context
• Viewing Field Statistics
• Data Visualization
• Dashboard
• Analyzing live data with ELK stack

Hands On:

• Time Filter
• Document Context
• Creating a Dashboard

Why should i join with BSAI Academy ?

ELK Stack course does not mark any prerequisites in big data mining & analytics. We will have the overview and investigate the technology that goes into it. Most other courses bombard students with dense theories and set you on your way, we prefer to develop you with deep knowledge of what you’re doing, and why you’re doing. AT BSAI Academy we aim on developing your awareness of the functioning of the ELK elements for an infinite results in the future.

Who Are The Trainers?

Our trainers have relevant experience in implementing realtime solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

What If I Miss A Class?

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

How Will I Execute The Practical?

Trainer will provide assignment to the students and we ensure practical realtime experience and training by providing all the utilities required for the indepth understanding of the course.

Will I Be Working On A Project?

The Training itself is Realtime Project Oriented.

Are These Classes Conducted Via Live Online Streaming?

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting oneonone trainer student Interaction.

When to choose BSAI Academy Online instructor Training and What are its Benefits?

Our Sellf Paced Online Training is for candidates who enjoy learning at their own pace. Our SelfPaced program is comprised of :

Provision to oneonone sessions
24/7 Live Support
Timetotime doubt clearance

All these features come as a benefit for the trainees attempting the training.

What are the different Modes of Training offered by Mindmajix?

At BSAI Academy, We provide only online training. Online InstructorLed Training provided by Industry experienced professionals.

ELK Stack Certification Training

The entire training course content is in line with the certification program and helps you clear ELK Stack Certification Exam with ease and get the best jobs in the top MNCs. As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

At the end of this training program there will be a exam that helps you score better marks in certification exam.