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AWS Data Engineering Online Training and Certification Course

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Kinesis Streams are crucial to analyze and transform big data, and this particular skill can make you run through the long race. MVA’s AWS Data Engineering Training sessions will make you proficient with many more topics that are important for AWS Data Engineering career growth. Enrol now!

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Instructor-led Training Live Online Classes

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01 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun
08 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun
15 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun
22 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun

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Instructor-led Training Live Online Classes

01 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun
08 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun
15 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun
22 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Course Highlights

Duration: 24 Hrs.
Subject Matter Expert
After Training Support
Recorded Sessions
Lifetime e-Learning Access
Free Online Assessments

One to One Training

AWS Data Engineering Training Course Syllabus

Curriculum Designed by Experts

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Multisoft Virtual Academy is offering the AWS Data Engineering Online Training to give in-depth knowledge of AWS Virtuous Cycle, AWS Cloud Economics, Amazon DynamoDB, Kinesis Firehose, Knowledge Checks, DynamoDB Stream, Amazon DynamoDB, EMR Operations, Spark Components, AWS Data Pipeline, RedShift Architecture. Inclined to the AW Certified Data Analytics exam, the offered course is ideal for Solutions Architects, Data Scientists, Data Engineers, and Data Analysts.

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

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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

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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

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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

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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

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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

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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

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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

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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 Description

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 work with AWS Cloud Architecture Design Principles?
How do I use Amazon EMR to process data with the use of Hadoop ecosystem tools
How to use Amazon QuickSight to visualize data and perform queries?
How to load Data into Kinesis Stream?

AWS Data Engineering Online Training is designed for Data Engineers, Data Scientists, Data Analysts, and Solutions Architects.

To pursue this AWS Data Engineering Online Training, an aspirant needs to carry a fundamental level understanding of big data and Hadoop concepts and basic knowledge of AWS technical essentials.

AWS Data Engineering Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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AWS Data Engineering Corporate Training Certification

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Recorded Training Session Videos
Free Access to Practice Tests

24x7 Assistance

Help Desk Support
Doubt Resolution in Real-time
After Training Support

Hands on Experience

Project Based Learning
Learning based on real-life examples
Assignments and Practice Tests

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Multisoft Training Certificate
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AWS Data Engineering Online Training and Certification Course

Start Date	No. of Hrs	Time (IST)	Day	Price
01 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
08 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
15 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
22 Apr 2023	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550

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AWS Data Engineering Online Training and Certification Course

Ready to Up-Skill yourself !

Instructor-led Training Live Online Classes

Suitable batches for you

$ 550

Talk to our training advisor

Instructor-led Training Live Online Classes

Online Classroom Training

$ 550

Self-Paced Learning

$ 550

Corporate Training

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Course Highlights

Curriculum Designed by Experts

Introduction to AWS Data Engineering

Collection

Storage

Processing I

Processing II

Analysis I

Analysis II

Visualisation

Security

Free Career Counselling

AWS Data Engineering Training Description

AWS Data Engineering Training Course Objectives

AWS Data Engineering Training Target audience ?

AWS Data Engineering Training prerequisite ?

AWS Data Engineering Training Certification

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AWS Data Engineering Corporate Training Certification

Interactive Virtual Training

Lifetime Access

24x7 Assistance

Hands on Experience

Globally Recognized Certificate

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What Attendees Are Saying

- Apoorva Mishra

- Mukteshwar Pandey

- Faheem Khan

- Roopali Garg

- Sruthi kruthi

- Gourav Prajapati

- Vyom Kharbanda

- Jupiter Jones

- Atif Ali Khan

Our Corporate Clients