AWS Certified Data Analytics: Specialty + Exam
AWS Certified Data Analytics: Specialty Certification
AWS Certified Data Analytics: Specialty certification course validates your expertise in AWS data lakes and analytics services. It maximises your knowledge about big data, AWS Lambda and Glue ETL.
This course is designed for the candidates to increase their knowledge about the application of machine learning to massive data sets with SageMaker, and deep learning. It further helps the candidates to visualise big data in the cloud using AWS QuickSight.
AWS Certified Data Analytics: Specialty certification course validates the candidate’s comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. This certification course is designed to give you hands-on practice, along with practising exams and study tools needed for the exam.
AWS Certified Data Analytics – Specialty certification course builds your credibility and confidence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. This certification course helps you build knowledge on effectively utilising AWS data analytics and leveraging tools to automate data analysis.
- At least 5 years of experience with common data analytics technologies
- At least 2 years of hands-on experience working on AWS
- Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
Candidates can achieve AWS Certified Solutions Architect – Associate certification by passing the following exam(s).
The certification exam can be registered and attempted within 3 months of course/module completion at Logitrain training centre on weekdays during normal business hours (excludes public holidays)
- Define AWS data analytics services
- Understand how AWS data analytics integrate with each other
- Explain how AWS data analytics services fit in the data life cycle of collection, storage, processing, and visualization
This course is likely to add to the employment-related skills of the participants. The skills developed are likely to be used in the course of being an employee or working in a business.
Candidates with the ability to perform in a data analytics-focused role
- 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
- 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
- Determine appropriate data processing solution requirements
- Design a solution for transforming and preparing data for analysis
- Automate and operationalize a data processing solution
- 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
- Select appropriate authentication and authorization mechanisms
- Apply data protection and encryption techniques
- Apply data governance and compliance controls
Take the certification exam within 3 months of course / module completion
Take the official vendor certification exam at the Logitrain training center
Course material in hardcopy is included. Full-time classroom courses include meals
Mock tests included in full-time courses for 3 months from course completion
Our trainers are highly skilled with expertise and extensive hands-on experience
Relax, we will beat competitor’s advertised price. Our course has no extra costs
The supply of this course/package/program is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions.
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