| AWS Data Engineer & Data Analytics Training |
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COURSE ID |
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GE-AWS |
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DURATION |
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39 HRS |
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Course Fee |
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$1500+HST |
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DELIVERY METHOD |
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Classroom & Online |
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COURSE OVERVIEW |
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AWS Data Engineer and Data Analytics |
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AUDIENCE |
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PREREQUISITES |
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COURSE OBJECTIVES |
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COURSE OUTLINE |
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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
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SOFTWARE |
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Weekend Free online Demo : 22-May-2021 from 2:00 Pm to 4:00 Pm. |
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CONTACT INFORMATION5 |
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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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