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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

Suitable batches for you

30 Sep 2023 24 06:00 PM - 09:00 PM Sat, Sun
07 Oct 2023 24 06:00 PM - 09:00 PM Sat, Sun
14 Oct 2023 24 06:00 PM - 09:00 PM Sat, Sun
21 Oct 2023 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 550

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Instructor-led Training Live Online Classes

30 Sep 2023 24 06:00 PM - 09:00 PM Sat, Sun
07 Oct 2023 24 06:00 PM - 09:00 PM Sat, Sun
14 Oct 2023 24 06:00 PM - 09:00 PM Sat, Sun
21 Oct 2023 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 550

Enroll Now
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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.

Course Price At

$ 550

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Recorded Sessions
  • Lifetime e-Learning Access
  • Free Online Assessments
One to One training One to One Training
AWS Data Engineering Training Course Syllabus

Curriculum Designed by Experts

Download Curriculum DOWNLOAD CURRICULUM

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
Download Curriculum DOWNLOAD CURRICULUM

  • 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
Download Curriculum DOWNLOAD CURRICULUM

  • 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
     
Download Curriculum DOWNLOAD CURRICULUM

  • 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
Download Curriculum DOWNLOAD CURRICULUM

  • 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
Download Curriculum DOWNLOAD CURRICULUM

  • 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
     
Download Curriculum DOWNLOAD CURRICULUM

  • 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
     
Download Curriculum DOWNLOAD CURRICULUM

  • 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
Download Curriculum DOWNLOAD CURRICULUM

  •  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
Download Curriculum DOWNLOAD CURRICULUM

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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

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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