AWS Data Engineering Training

3896 Learners

AWS Data Engineering is the study of Data Pipelines, Data Storage, and Data Transfer. Multisoft Systems has come up with AWS Data Engineering Training to promote the careers of Data Engineers, Data Scientists, Solutions Architects, and Data Analysts. This course will help you in learning the techniques of hosting big data and performing distributed processing on the AWS platform. To pursue this AWS Data Engineering Training, an aspirant needs to carry a fundamental level understanding of big data and Hadoop concepts and basic knowledge of AWS technical essentials.

Our offered course is developed by industry expert trainers to give in-depth knowledge of AWS Cloud Economics, Amazon DynamoDB, AWS Virtuous Cycle, Amazon DynamoDB, Kinesis Firehose, Knowledge Checks, DynamoDB Stream, EMR Operations, Spark Components, AWS Data Pipeline, RedShift Architecture. It is aligned with the AW Certified Data Analytics exam.

AWS Data Engineering Course Objectives:

How to work with AWS Cloud Architecture Design Principles?
How do I use Amazon EMR to process data with the use of Hadoop ecosystem tools
How do I use Amazon Kinesis for big data processing in real-time?
How to use Kinesis Streams to analyze and transform big data?
How to use Amazon QuickSight to visualize data and perform queries?
How to load Data into Kinesis Stream?

AWS Data Engineering Online Training

32 Hrs. Instructor-led Online Training
Recorded Videos After Training
Digital Learning Material
Course Completion Certificate
Lifetime e-Learning Access
24x7 After Training Support

Target Audience

Data Engineers
Data Scientists
Solutions Architects
Data Analysts

AWS Data Engineering Course Prerequisites

Basic knowledge of AWS technical essentials
A fundamental level understanding of big data and Hadoop concepts

AWS Data Engineering Course Certification

Multisoft Systems will provide you with a training completion certificate after completing this AWS Data Engineering Training.

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AWS Data Engineering Course Objectives:

How to work with AWS Cloud Architecture Design Principles?
How do I use Amazon EMR to process data with the use of Hadoop ecosystem tools
How do I use Amazon Kinesis for big data processing in real-time?
How to use Kinesis Streams to analyze and transform big data?
How to use Amazon QuickSight to visualize data and perform queries?
How to load Data into Kinesis Stream?

AWS Data Engineering Online Training

32 Hrs. Instructor-led Online Training
Recorded Videos After Training
Digital Learning Material
Course Completion Certificate
Lifetime e-Learning Access
24x7 After Training Support

Target Audience

Data Engineers
Data Scientists
Solutions Architects
Data Analysts

AWS Data Engineering Course Prerequisites

Basic knowledge of AWS technical essentials
A fundamental level understanding of big data and Hadoop concepts

AWS Data Engineering Course Certification

Multisoft Systems will provide you with a training completion certificate after completing this AWS Data Engineering Training.

AWS Data Engineering Training Course Content

Module 1: AWS in Big Data introduction

Introduction to Cloud Computing
Cloud Computing Deployments Models
Amazon Web Services Cloud Platform
The Cloud Computing Difference
AWS Cloud Economics
AWS Virtuous Cycle
AWS Cloud Architecture Design Principles
Why AWS for Big Data - Reasons
Why AWS for Big Data - Challenges
Databases in AWS
Relational vs Non-Relational Databases
Data Warehousing in AWS
Services for Collecting, Processing, Storing, and Analyzing Big Data
Amazon Redshift
Amazon Kinesis
Amazon EMR
Amazon DynamoDB
Amazon Machine Learning
AWS Lambda
Amazon Elasticsearch Service
Amazon EC2 (big data analytics software on EC2 instances)
Amazon Redshift
Amazon Kinesis
Amazon EMR
Amazon DynamoDB
Amazon Machine Learning
AWS Lambda
Amazon Elasticsearch Service
Amazon EC2 (big data analytics software on EC2 instances)
Key Takeaway
Knowledge Checks
Lesson End Project

Module 2 - Collection

Objectives
Amazon Kinesis Fundamentals
Loading Data into Kinesis Stream
Kinesis Data Stream High-Level Architecture
Kinesis Stream Core Concepts
Kinesis Stream Emitting Data to AWS Services
Kinesis Connector Library
Kinesis Firehose
Transferring Data Using Lambda
Amazon SQS
IoT and Big Data
IoT Framework
AWS Data Pipeline
AWS Data Pipeline Components
Key Takeaway
Knowledge Checks
Lesson End Project

Module 3 - Storage

Objectives
Introduction to AWS Big Data Storage Services
Amazon Glacier
Glacier and Big Data
DynamoDB Introduction
The Architecture of the DynamoDB Table
DynamoDB in AWS Ecosystem
DynamoDB Partitions
Data Distribution
Local Secondary Index (LSI) **
Global Secondary Index (GSI) **
DynamoDB GSI vs LSI
DynamoDB Stream
Cross-Region Replication in DynamoDB
Partition Key Selection
Snowball & AWS Big Data
AWS DMS
AWS Aurora in Big Data
Key Takeaway
Knowledge Checks
Lesson End Project

Module 4 - Processing I

Objectives
Introduction to AWS Big Data Processing Services
Amazon Elastic MapReduce (EMR)
Apache Hadoop
EMR Architecture
Storage Options
EMR File Storage and Compression
Supported File Format and File Size
Single-AZ Concept
EMR Operations
EMR Releases
AWS Cluster
Launching a Cluster
Advanced EMR Setting Option
Choosing Instance Type
Number of Instances
Monitoring EMR
Resizing of Cluster
Using Hue with EMR
Setup Hue for LDAP
Hive on EMR
Hive Use Cases
Key Takeaway
Knowledge Checks
Lesson End Project

Module 5: Processing II

HBase with EMR
HBase Use Cases
Comparison of HBase with Redshift and DynamoDB
HBase Architecture HBase on S3
HBase and EMRFS
HBase Integration
HCatalog
Presto with EMR
Advantages of Presto
Presto Architecture
Spark with EMR
Spark Use Cases
Spark Components
Spark Integration With EMR
AWS Lambda in AWS Big Data Ecosystem
Limitations of Lambda
Lambda and Kinesis Stream
Lambda and Redshift
Key Takeaway
Knowledge Checks
Lesson End Project

Module 6: Analysis I

Objectives
Introduction to AWS Big Data Analysis Services
RedShift
RedShift Architecture
RedShift in the AWS Ecosystem
Columnar Databases
RedShift Table Design
RedShift Workload Management
RedShift Loading Data
RedShift Maintenance and Operations
Key Takeaway
Knowledge Checks
Lesson End Project

Module 7: Analysis II

Machine Learning
Machine Learning - Use Cases
Algorithms
Amazon SageMaker
Elasticsearch
Amazon Elasticsearch Service
Loading of Data into Elasticsearch
Logstash
Kibana
RStudio
Characteristics
Athena
Presto and Hive
Integration with AWS Glue
Comparison of Athena with Other AWS Services
Lab Run Query on S3 Using Serverless Athena
Key Takeaway
Knowledge Checks
Lesson End Project

Module 8: Visualisation

Objectives
Introduction to AWS Big Data Visualization Services
Amazon QuickSight
Amazon QuickSight - Use Cases
LAB Create an Analysis with a Single Visual Using Sample Data
Working with Data
Assisted Practice: TBD
QuickSight Visualization
Big Data Visualization
Apache Zeppelin
Jupyter Notebook
Comparison Between Notebooks
D3.js (Data-Driven Documents)
MicroStrategy
Key Takeaway
Knowledge Checks
Lesson End Project

Module 9: Security

Objectives
Introduction to AWS Big Data Security Services
EMR Security
Roles
Private Subnet
Encryption At Rest and In Transit
RedShift Security
KMS Overview
SloudHSM
Limit Data Access
STS and Cross Account Access
Cloud Trail
Key Takeaway
Knowledge Checks
Lesson End Project

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AWS Data Engineering Training Course Certificate

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Get trained with certified industry experts and receive a globally-recognized training certificate.

Multisoft Training Certificate Features :

Globally recognized certificate with complete name of the candidate
Course ID & Course Name
Certificate with Date of Issuance
Name and Digital Signature of the Awardee

AWS Data Engineering Corporate Training & Certification Program

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.

Customized Training

Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements of your workforce. You can even choose a trainer from our team of certified industry experts.

Expert Mentors

Get trained from our team of highly skilled and certified trainers, who are officially accredited professionals with relevant industry experience and adept in providing the knowledge and skills required to be successful.

360º Learning Solution

Engage your employees with our all-inclusive learning platform. Avail benefits of 24/7 access to the learning management system, industry-certified mentors, assessments & mock tests, real-time learning and more.

Learning Assessment

Check test score and performance with our skills analysis tools. Our detail scoreboard displays scores, areas of strength, detailed answer of questions and more for each employee.

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