Intellectual Point

Amazon Web Services (AWS) Certified Big Data – Specialty

Learning Objectives

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Domain 1: Collection

Domain 2: Storage

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Domain 3: Processing

Domain 4: Analysis

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Domain 5: Visualization

Domain 6: Data Security

Course Schedule and Exam Details

Session 1:

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
Session 2:

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
Session 3:

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
Session 4:

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
  • We recommend candidates hold an AWS Certified Cloud Practitioner or a current Associate-level certification: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate or AWS Certified SysOps Administrator – Associate

  • Background in defining and architecting AWS Big Data services with the ability to explain how they fit in the data life cycle of collection, ingestion, storage, processing, and visualization

  • Minimum five years hands-on experience in a data analytics field

  • Experience in designing a scalable and cost-effective architecture to process data

Training program

The AWS Certified Data Analytics Specialty certification is for software developers and data professionals who want to demonstrate their data analytics skills on the AWS platform. The exam will test your ability to build, secure, maintain and design data analytics solutions. 

What you will learn

  • Amazon Elasticsearch Service

  • Amazon Kinesis Data Analytics

  • Amazon Athena

  • Amazon Redshift

  • Use Cases of Amazon Quicksight

  • Visualization best practices and tools


  • VPC and its purpose

  • Amazon Key Management Service Essentials

  • Apply data governance and compliance controls

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Amazon Web Services (AWS) Certified Big Data – Specialty Course at Intellectual Point Includes:

  • Live instructor-led training in modern classrooms
  • A thorough review of Amazon Web Services (AWS) Certified Big Data – Specialty
    by industry experts
  • Hands-on labs with computer hardware and software
  • 100% latest material & and all practice questions
  • Confidence building hands-on training
  • Authorized Pearson testing at the same location to help you complete your exam*
  • Study material, notes, videos, and practice questions included in the course price.

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