Exam Readiness: AWS Certified Data Analytics – Specialty Certification Training

Exam Readiness: AWS Certified Data Analytics – Specialty Certification Training Course Overview

Enroll for 1-day AWS Certified Data Analytics – Specialty certification training course from Koenig Solutions accredited by AWS. AWS Certified Data Analytics- Specialty course is designed to validate technical skills and experience in designing and implementing AWS services to get value from data.

Through a blend of hands-on labs and interactive lectures, you will be able to prepare for the exam by exploring the subject areas of the exam and familiarizing you with the question style and focus of the exam. The course reviews sample exam questions in each subject area and teaches you how to interpret the concepts being tested so that you can more easily eliminate wrong answers.

Target Audience:

  • Candidate working as IT professionals
  • Candidate working as Data Platform Engineers/Architects.
  • Candidate working as Data Analysts
  • Candidate working as Data Scientists.
  • Candidate working as Solution Architects.

Learning Objectives

After completing this course, you will be able to:

  • Data collection systems
  • Storage and data management issues
  • Data processing solutions
  • Analysis and visualization of analytical data
  • Data analysis system security

 

Exam Readiness: AWS Certified Data Analytics – Specialty Certification Training (Duration : 8 Hours) Download Course Contents

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Course Modules

Module 1: Collection
  • Determine the operational characteristics of the collection system
  • Select a collection system that handles the frequency, volume, and source of data
  • Select a collection system that addresses the key properties of data, such as order, format, and compression
Module 2: Storage and Data Management
  • Determine the operational characteristics of a storage solution for analytics
  • Determine data access and retrieval patterns
  • Select an appropriate data layout, schema, structure, and format
  • Define a data lifecycle based on usage patterns and business requirements
  • Determine an appropriate system for cataloging data and managing metadata
Module 3: Processing
  • Determine appropriate data processing solution requirements
  • Design a solution for transforming and preparing data for analysis
  • Automate and operationalize a data processing solution
Module 4: Analysis and Visualization
  • Determine the operational characteristics of an analysis and visualization solution
  • Select the appropriate data analysis solution for a given scenario
  • Select the appropriate data visualization solution for a given scenario
Module 5: Security
  • Select appropriate authentication and authorization mechanisms
  • Apply data protection and encryption techniques
  • Apply data governance and compliance controls
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Course Prerequisites

  • At least 5 years of experience with data analysis technologies
  • At least 2 years of practical experience working with AWS
  • Knowledge and experience working with AWS services to design, build, secure, and maintain analytics solutions