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AWS Certified Big Data – Specialty

Overview

The AWS Certified Big Data – Specialty certification is intended for individuals who perform complex Big Data analyses with at least two years of experience using AWS technology.

A new version of the AWS Certified Big Data – Specialty exam will be available in April 2020 with a new name, AWS Certified Data Analytics – Specialty.

 

Abilities Validated by the Certification

  • Implement core AWS Big Data services according to basic architecture best practices
  • Design and maintain Big Data
  • Leverage tools to automate data analysis

 

  • 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 of five years of hands-on experience in a data analytics field
  • Experience in designing a scalable and cost-effective architecture to process data

Full Description

Module 1: Collection

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

 

Module 2: Storage

  • Determine and optimize the operational characteristics of the storage solution
  • Determine data access and retrieval patterns
  • Evaluate mechanisms for capture, update, and retrieval of catalog entries
  • Determine appropriate data structure and storage format 

 

Module 3: Processing

  • Identify the appropriate data processing technology for a given scenario
  • Determine how to design and architect the data processing solution
  • Determine the operational characteristics of the solution implemented

 

 

Module 4: Analysis

  • Determine the tools and techniques required for analysis
  • Determine how to design and architect the analytical solution
  • Determine and optimize the operational characteristics of the Analysis

 

Module 5: Visualization

  • Determine the appropriate techniques for delivering the results/output
  • Determine how to design and create the Visualization platform
  • Determine and optimize the operational characteristics of the Visualization system

 

Module 6: Data Security

  • Determine encryption requirements and/or implementation technologies
  • Choose the appropriate technology to enforce data governance
  • Identify how to ensure data integrity
  • Evaluate regulatory requirements

Fees & Schedule

Delivery Mode Course Duration Fees
Live Virtual Training TBD Days Ask for Quote
Onsite Classroom Training TBD Days Ask for Quote
Customized Training TBD Days Ask for Quote

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