Amazon

Data Science Capstone

(UOP-DSC590.AE1)
Lessons
Lab
TestPrep
Get A Free Trial

Skills You’ll Get

Download Course Outline

1

History of Analytics and Big Data

  • Evolution of Analytics Architecture Over the Years
  • The New World Order
  • Analytics Pipeline
  • The Big Data Reference Architecture
  • Data Lakes and their Relevance in Analytics
  • Building a Data Lake on AWS
  • Using Lake Formation to build a Data Lake on AWS
  • Exam Objectives
  • References
2

Data Collection

  • AWS IoT
  • Amazon Kinesis
  • AWS Glue
  • Amazon SQS
  • Amazon Data Migration Service
  • AWS Data Pipeline
  • Large-Scale Data Transfer Solutions
  • Summary
  • References
  • Exercises & Workshops
3

Data Storage

  • Introduction
  • Amazon S3
  • Amazon S3 Glacier
  • Amazon DynamoDB
  • Amazon DocumentDB
  • Graph Databases and Amazon Neptune
  • Storage Gateway
  • Amazon EFS
  • Amazon FSx for Lustre
  • AWS Transfer for SFTP
  • Summary
  • Exercises
  • Further Reading
  • References
4

Data Processing and Analysis

  • Introduction
  • Types of Analytical Workloads
  • Amazon Athena
  • Amazon EMR
  • Amazon Elasticsearch Service
  • Amazon Redshift
  • Kinesis Data Analytics
  • Comparing Batch Processing Services
  • Comparing Orchestration Options on AWS
  • Summary
  • Exam Essentials
  • Exercises
  • References
5

Data Visualization

  • Introduction
  • Data Consumers
  • Data Visualization Options
  • Amazon QuickSight
  • Other Visualization Options
  • Predictive Analytics
  • Summary
  • Exam Essentials
  • Exercises
  • References
  • Additional Material
6

Data Security

  • Introduction
  • Shared Responsibility Model
  • Security Services on AWS
  • AWS IAM Overview
  • Amazon EMR Security
  • Amazon S3 Security
  • Amazon Athena Security
  • Amazon Redshift Security
  • Amazon Elasticsearch Security
  • Amazon Kinesis Security
  • Amazon QuickSight Security
  • Amazon DynamoDB Security
  • Summary
  • Exam Essentials
  • Exercises/Workshops
  • References and Further Reading

1

Data Collection

  • Creating a Kinesis SQL Application
  • Creating a Kinesis Data Stream
  • Creating a Kinesis Firehose Delivery Stream
  • Using AWS Glue
  • Creating an SQS Queue
2

Data Storage

  • Enabling Access Logging for an Amazon S3 Bucket
  • Creating an S3 Bucket and Enabling Versioning on it
  • Creating a S3 Glacier Storage Using Lifecycle Rules
  • Creating a DAX Cluster
  • Enabling DynamoDB Streams
  • Creating a DynamoDB Table and Writing Data to it
  • Creating an Amazon EFS
3

Data Processing and Analysis

  • Using Amazon Athena
  • Creating a VPC Endpoint in Amazon OpenSearch Service
  • Creating an Amazon Redshift Cluster
4

Data Security

  • Creating an IAM Role
  • Creating an IAM Group
  • Creating an IAM User
  • Specifying Server-Side Encryption in S3 with AWS KMS (SSE-KMS)
  • Configuring Block Public Access Settings for your S3 Account
  • Creating an Encrypted Table in DynamoDB

Any questions?
Check out the FAQs

Still have unanswered questions and need to get in touch?

Contact Us Now

Related Courses

All Courses
We use cookies for improving site experience and analytics. Learn More