Amazon

Data Science Capstone

(UOP-DSC590.AE1)
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Lab
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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 an Amazon S3 Glacier Vault
  • 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

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