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AWS Data Analytics

In this course you will learn the concepts of cloud computing and its deployment models. This course covers Amazon’s AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms and much more.
With this course you will get technical skills to,
1) Implement core AWS big data services according to basic architectural best practices
2) Design and maintain big data
3) Leverage tools to automate data analysis

Course Outlines

Domain 1: Collection
1.1 Determine the operational characteristics of the collection system
1.2 Select a collection system that handles the frequency of data change and type of data being ingested
1.3 Identify the properties that need to be enforced by the collection system: order, data structure,
metadata, etc.
1.4 Explain the durability and availability characteristics for the collection approach

Domain 2: Storage
2.1 Determine and optimize the operational characteristics of the storage solution
2.2 Determine data access and retrieval patterns
2.3 Evaluate mechanisms for capture, update, and retrieval of catalog entries
2.4 Determine appropriate data structure and storage format

Domain 3: Processing
3.1 Identify the appropriate data processing technology for a given scenario
3.2 Determine how to design and architect the data processing solution
3.3 Determine the operational characteristics of the solution implemented

Domain 4: Analysis
4.1 Determine the tools and techniques required for analysis
4.2 Determine how to design and architect the analytical solution
4.3 Determine and optimize the operational characteristics of the Analysis

Domain 5: Visualization
5.1 Determine the appropriate techniques for delivering the results/output
5.2 Determine how to design and create the Visualization platform
5.3 Determine and optimize the operational characteristics of the Visualization system

Domain 6: Data Security
6.1 Determine encryption requirements and/or implementation technologies
6.2 Choose the appropriate technology to enforce data governance
6.3 Identify how to ensure data integrity
6.4 Evaluate regulatory requirements

What you'll learn

  • Move and transform massive data streams with Kinesis
  • Store big data with S3 and DynamoDB in a scalable, secure manner
  • Process big data with AWS Lambda and Glue ETL
  • Use the Hadoop ecosystem with AWS using Elastic MapReduce
  • Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
  • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
  • Visualize big data in the cloud using AWS QuickSight

Course Content

  • Move and transform massive data streams with Kinesis
  • Store big data with S3 and DynamoDB in a scalable, secure manner
  • Process big data with AWS Lambda and Glue ETL
  • Use the Hadoop ecosystem with AWS using Elastic MapReduce
  • Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
  • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
  • Visualize big data in the cloud using AWS QuickSight

Customize a Course

We will be happy to assist you for inquiries about a customized scheduled or program:
Rachael McPherson, Director of Sales
☎(250)882-9549 📧rachael@qacademy.ca
Caroline Santos, Corporate and Custom Sales Manager- Eastern Canada
☎(514)771-3206 📧caroline.santos@qacademy.ca

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Course Info

Prerequisites
Basic knowledge of AWS and basic understanding of big data and Hadoop concepts.
Duration
40 Hours

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Customize A Course
We will be happy to assist you for inquiries about a customized scheduled or program:
Rachael McPherson
Director of Sales
 
Caroline Santos
Corporate and Custom Sales Manager
(Eastern Canada)
Phone Number
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AWS Data Analytics

  • Course level: Beginner
  • Categories Big Data
  • Total Enrolled 0
  • Last Update June 27, 2022

Description

In this course you will learn the concepts of cloud computing and its deployment models. This course covers Amazon’s AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms and much more.
With this course you will get technical skills to,
1) Implement core AWS big data services according to basic architectural best practices
2) Design and maintain big data
3) Leverage tools to automate data analysis

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