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AWS Data Engineer & Data Analytics Training
     
  COURSE ID   GE-AWS
  DURATION   30 HRS
  Course Fee   $1500+HST
  DELIVERY METHOD   Classroom & Online
  COURSE OVERVIEW   AWS Data Engineer and Data Analytics
  AUDIENCE  
  PREREQUISITES  
  COURSE OBJECTIVES  
  COURSE OUTLINE  

Introduction to Big Data and Data Collection

  • Introduction to Big Data
  • Big Data tools available in AWS
  • Why Big Data on AWS?
  • What is AWS Kinesis?
  • How Kinesis works?
  • Features of AWS Kinesis
  • AWS Kinesis Components
  • Kinesis Data Streams
  • Enhanced Fan-Out in AWS Kinesis
  • Kinesis Data Firehose
  • Amazon SQS
  • AWS Data Pipeline

Data Storage

  • What is S3 Glacier?
  • Accessing Amazon S3 Glacier
  • Glacier Vaults
  • Glacier Archives
  • What is Amazon DynamoDB?
  • How does DynamoDB work?
  • Accessing DynamoDB through Portal and CLI
  • DynamoDB Tables and Items
  • DynamoDB Indexes
  • DynamoDB Streams and Replication
  • Dynamo Backup and Restore
  • DynamoDB Best Practices
  • Introduction to RDS
  • Basics of RDS

?Data Processing

  • Amazon EMR
  • Apache Hadoop
  • Hue with EMR
  • HBase with EMR
  • Spark with EMR
  • AWS Lambda for Big Data Ecosystem
  • Hcatalog
  • Glue
  • Glue Lab

Data Analysis

  • What is Amazon Redshift?
  • Data Warehouse System Architecture
  • Redshift Concepts
  • Designing tables
  • Loading Data to Redshift
  • Redshift Workload Management
  • Tuning Query Performance
  • Best Practices using Redshift
  • Amazon Machine Learning
  • Amazon ML Key Concepts
  • Using Amazon ML
  • What is Amazon Athena?
  • When should you use Athena?
  • Running Queries using Athena
  • What Is Amazon Elasticsearch Service?
  • Features of Amazon Elasticsearch Service
  • ES Domains

Data Visualization and Data Security

  • What is Amazon QuickSight?
  • How does Amazon QuickSight work?
  • QuickSight SPICE
  • Setting up Amazon QuickSight
  • Data Sources and Data Sets
  • Creating your own Analysis in QuickSight
  • QuickSight Visualization
  • QuickSight Dashboards
  • Security Best Practices
  • EMR Security
  • Redshift Security
  • Introduction to Microstrategy

Project 1:?Integration of Big Data with AWS

Domain:?Cloud

Problem Statement:?Integrate your organization?s Big Data to the AWS cloud to make it accessible

Topics:?ML Regression Model, Redshift, and Glacier

Highlights:

  • Implementing ML regression Model
  • Adapting Redshift
  • Using Glacier

Project 2:?Big Data Analysis

Domain:?Big Data

Problem Statement:?As an IT professional, analyze the Big Data of your organization

Topics:?Kinesis Data Streams, Apache Hadoop, Amazon QuickSight

Highlights:

  • Understanding Kinesis Data Streams
  • Utilizing Apache Hadoop
  • Handling Amazon QuickSight visualization
  SOFTWARE   Weekdays Free online Demo :29thOct from 2pm to 4pm Weekend Free online Demo : 31stOct from 2pm to 6pm.
  CONTACT INFORMATION5  

Mississauga: 1065 Canadian Place, Suite 201, Mississauga ON L4W 0C2
Scarborough: 2401 Eglinton Ave E, Suite 304, Scarborough(Eglinton & Kennedy) ON M1K 2M5
Montreal: 279 Rue Sherbrooke O, Suite 209, Montreal, QC H2X 1Y2 PH: +1-514-664-3900

Phone: +1 416-623-9493 or +1 416-333-3717

E-mail: training@globalerp.ca

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