AWS Big Data Certification Course for DAS-C01

The AWS Certified Big Data Analytics Training Course is strategically designed for data professionals and software developers who wish to demonstrate their data analytics skills on the AWS platforms. The training offered by the Teaching Krow will help you gain in-depth knowledge of AWS Big Data concepts like AWS IoT, data processing technologies, data analysis, data visualization, and many more. The team of professional trainers of the Teaching Krow will help you successfully clear the DAS-C01 exam and become a certified professional.

Why should you take AWS Big Data Certification Course for DAS-C01 ?

Offers a better understanding of market dynamics

Aids in better and prompt decision making

Helps you effectively manage a big pool of data


32 hours of instructor-led training
32 hours of self-paced videos
Flexible schedule
Job assistance
Mentor support
One year access

AWS Big Data Certification Course for DAS-C01 Overview

What Will You Learn In This Certification Training Course?

Here are the aspects covered in the training curriculum:

  • Kinesis
  • AWS IoT
  • Processing 
  • Data Visualization
  • Amazon Simple Storage Service 
  • AWS Snowball and AWS Snowmobile
  • Lambda and AWS Data Pipeline
  • Big Data Concepts and Tools
  • Athena, Redshift, and Elasticsearch


Self Paced Training


AWS Big Data Certification Course for DAS-C01 Curriculum

Introduction to Big Data & Data Collection
  • Introduction to Big Data
  • Why Big Data on AWS?
  • Big Data tools available in AWS
  • What is AWS Kinesis?
  • Features of AWS Kinesis
  • How Kinesis works?
  • Kinesis Data Streams
  • AWS Kinesis Components
  • Kinesis Data Firehose
  • Enhanced Fan-Out in AWS Kinesis
  • Amazon SQS
  • AWS Data Pipeline
  • What is Cloud Computing
  • How AWS is the leader in the cloud domain
  • Various cloud computing products offered by AWS
  • Cloud Service & Deployment Models
  • Introduction to AWS S3, ELB, EC2, VPC, EBS, and AMI
  • AWS EC2 best practices and cost involved
  • What is auto-scaling
  • Introduction to AWS storage
  • Pre-S3 – online cloud storage
  • API, S3 consistency models
  • Storage hierarchy, buckets in S3
  • Objects in S3, metadata and storage classes, object versioning, object lifecycle management, cross-region replication, data encryption, connecting using VPC endpoint, S3 pricing.
  • uction to EC2
  • Regions & Availability Zones
  • Pre-EC2, EC2 instance types
  • Demonstrating how to launch an AWS EC2 instance
  • Introduction to Creating AMIs, and Copying an AMI
  • Comparing Public IP and Elastic IP
  • Introduction to EBS
  • EBS Snapshots
  • EBS volume types
  • Introduction to EFS
  • Instance tenancy
  • Pricing and Design Patterns.
  • What is Amazon VPC
  • VPC as a networking layer for EC2
  • IP address and CIDR notations
  • Components of VPC 
  • Security in VPC
  • Introduction to AWS storage
  • Pre-S3 – online cloud storage
  • API, S3 consistency models
  • Storage hierarchy, buckets in S3
  • Objects in S3, object versioning, object lifecycle management, metadata and storage classes, data encryption, cross-region replication, connecting using VPC endpoint, and S3 pricing
  • What is S3 Glacier?
  • Glacier Vaults
  • Accessing Amazon S3 Glacier
  • Glacier Archives
  • How does DynamoDB work?
  • What is Amazon DynamoDB?
  • DynamoDB Tables and Items
  • Accessing DynamoDB through Portal and CLI
  • DynamoDB Indexes
  • DynamoDB Streams and Replication
  • Introduction to RDS
  • Dynamo Backup and Restore
  • DynamoDB Best Practices
  • Basics of RDS
  • What is Amazon Redshift?
  • Redshift Concepts
  • Data Warehouse System Architecture
  • Redshift Workload Management
  • Designing tables
  • Tuning Query Performance
  • Loading Data to Redshift
  • Best Practices using Redshift
  • Amazon ML Key Concepts
  • Using Amazon ML
  • Amazon Machine Learning
  • When should you use Athena?
  • What is Amazon Athena?
  • What Is Amazon Elasticsearch Service?
  • Running Queries using Athena
  • Features of Amazon Elasticsearch Service
  • ES Domains
  • What is Amazon QuickSight?
  • How does Amazon QuickSight work?
  • QuickSight SPICE
  • Setting up Amazon QuickSight
  • Data Sources and Data Sets
  • Creating your own Analysis in QuickSight
  • QuickSight Visualization
  • QuickSight Dashboards
  • Security Best Practices
  • EMR Security
  • Redshift Security
  • Introduction to Microstrategy
  • Amazon EMR
  • Apache Hadoop
  • Hue with EMR
  • HBase with EMR
  • Spark with EMR
  • AWS Lambda for Big Data Ecosystem
  • Hcatalog
  • Glue
  • Glue Lab

AWS Big Data Certification Course for DAS-C01 Projects

Integration of Big Data With AWS

The people enrolling for the training will grasp how to integrate their companies' Big Data into the AWS cloud to make it easily accessible.

The people enrolling in the training will get practical experience analyzing an organization's Big Data.

Certificate For AWS Big Data Certification Course for DAS-C01

The training course is designed to help you clear the AWS Certification exams. The complete training course content is aligned with these certification programs and helps you quickly clear these certification exams and get the best jobs in the top companies. As part of the training, you will be working on real-time assignments and projects with practical implications in the real-world industry, helping you fast-track your career. Multiple quizzes at the end of this training program will perfectly reflect the questions in the actual certification exams and help you score better.

CERTIFICATE FOR AWS Big Data Certification Course for DAS-C01
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AWS Big Data Certification Course for DAS-C01
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Frequently Asked Questions on AWS Big Data Certification Course for DAS-C01

Why are the prerequisites to enroll for this AWSBig Data Certification Course for DAS-C01?

In order to take up this training, you must have basic knowledge of Big Data. In addition to that, you must also have a working knowledge of Big Data on AWS.

  • Data scientists
  • Solutions Architect
  • Data analysts
  • SysOps administrations

The cost of the AWS Certified Data Analytics (DAS-C01) exam is US $300. In addition to that, the exam duration of DAS-C01 is 170 minutes. In order to test your skills and pass the actual exam, you can take the practice exam, which costs US $40.

  • east five years of experience with data analytics technologies. In addition to that, two years of hands-on experience working with Amazon Web Services. 
  • Familiarity and experience working with AWS building, designing, securing, and maintaining analytics solutions.

You have the liberty to take the exam in English, Japanese, Simplified Chinese, and Korean.

If you fail to clear the exam on the first attempt, you can reappear for the exam after 14 days from the date the results were declared. 

AWS rotates its questions in and out regularly. This is done in accordance with the exam guide. AWS will make significant revisions to an exam public via the Exam guide.

Finding the nearest AWS certifications test center is easy and can be found with the help of PSI test centers and Persons VUE test centers.