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AWS Certified Data Analytics – Specialty (DAS-C01) Training

The AWS Data Analytics Specialty certification training is intended for individuals who perform complex Big Data investigations with at least 2 years of experience using AWS technology.

  • 30000
  • 35000
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  • Course Includes
  • Live Class Practical Oriented Training
  • 60+ Hrs Instructor LED Training
  • 35 + Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option
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What you will 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

Requirements

  • AWS Technical essentials. Knowledge of running data analytics workloads on AWS and data analytics field. In addition, the AWS Certified Solution Architect – Associate certification, or the AWS Certified Developer – Associate certification are recommended before attempting the AWS Certified Data Analytics – Specialty certification.

Description

|| About  AWS Certified Data Analytics – Specialty Training Course

The AWS Certified Data Analytics Specialty Online Training is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together. 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 courses in this path will teach you how to evaluate business requirements for big data applications, and then how to build, secure, maintain and design data analytics solutions in the AWS cloud. These topics are designed to prepare you for the AWS Certified Data Analytics – Specialty certification exam.

 

Exam: AWS Certified Data Analytics – Specialty (DAS-C01)

 

Course Content

Lecture 1

·      Determine the operational characteristics of the collection system  

·      Practical Exercise

Lecture 2

·      Select a collection system that handles the frequency, volume, and source of data 

·      Practical Exercise
Lecture 3

·      Select a collection system that addresses the key properties of data, such as order, format, and compression                    

·      Practical Exercise
Lecture 4

·      Determine the operational characteristics of a storage solution for analytics          

·      Practical Exercise
Lecture 5

·      Determine data access and retrieval patterns              

·      Practical Exercise
Lecture 6

·      Select an appropriate data layout, schema, structure, and format     

·      Practical Exercise

Lecture 7

·      Define a data lifecycle based on usage patterns and business requirements

·      Practical Exercise
Lecture 8

·      Determine an appropriate system for cataloging data and managing metadata      

·      Practical Exercise
Lecture 9

·      Determine appropriate data processing solution requirements                    

·      Practical Exercise
Lecture 10

·      Design a solution for transforming and preparing data for analysis 

·      Practical Exercise

Lecture 11

·      Automate and operationalize a data processing solution       

·      Practical Exercise

Lecture 12

·      Determine the operational characteristics of an analysis and visualization solution          

·      Practical Exercise

Lecture 13

·      Select the appropriate data analysis solution for a given scenario    

·      Practical Exercise

Lecture 14

·      Select the appropriate data visualization solution for a given scenario                    

·      Practical Exercise