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AWS Certified Data Analytics Specialty
Price includes: Instructor Led Class, Official Courseware, Labs and Exams

The AWS Certified Data Analytics Specialty Exam 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.


  • Name: AWS Certified Data Analytics Specialty
  • Availability: Monday To Friday
  • Location: East Meadow, NY, USA
  • Price: $1500.00
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Course Overview

The AWS Certified Data Analytics Specialty (DAS-C01) exam validates the candidate’s knowledge and understanding of using AWS services for planning, creating, securing, and maintaining analytics solutions that provide insight from data. However, this exam is also best for those in the data analytics-focused role.

Learning Objectives

In this course, you will learn to:

  • Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
  • 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

Determining the operational characteristics of the collection system

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

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

Determining the operational characteristics of a storage solution for analytics

Determining data access and retrieval patterns

Selecting suitable data layout, schema, structure, and format

Defining a data lifecycle based on usage patterns and business requirements

Determining a suitable system for cataloguing data and managing metadata

Determining appropriate data processing solution requirements

Designing a solution for transforming and preparing data for analysis

Automating and operationalizing a data processing solution

Determining the operational characteristics of an analysis and visualization solution

Selecting a suitable data analysis solution for a given scenario

Selecting the appropriate data visualization solution for a given scenario

Selecting appropriate authentication and authorization mechanisms

Applying data protection and encryption methods

Applying data governance and compliance controls

BootCamps

Certifications

  • AWS Certified Data Analytics Specialty

Exams

  • DAS-C01 - AWS Certified Data Analytics Specialty