Analytics & BI Services

AWS Cloud Technology and Services Concepts

Alex Kuntz

Head of Cloud Curriculum, DataCamp

Introduction to data analytics

• Turning raw data into actionable insights
• Iterative process

Data analytics in AWS

Amazon Athena

Serverless, interactive analytics service for analyzing petabyte-scale data at source

Key features

• Versatile data integration

• Simplified pricing of paying per query

Amazon QuickSight

Unified business intelligence service supporting interactive dashboards

Amazon QuickSight

Unified business intelligence service supporting interactive dashboards

Key features

• Automatic scaling without server setup

Amazon QuickSight

Unified business intelligence service supporting interactive dashboards

Key features

• Automatic scaling without server setup
• Generative BI capabilities

Amazon QuickSight

Unified business intelligence service supporting interactive dashboards

Key features

• Automatic scaling without server setup
• Generative BI capabilities
• Paginated reports

Amazon Kinesis

Enables the collection, processing, and analysis of data streams at scale

Key features

• Real-time processing
• Serverless infrastructure
• Scalability

Amazon Kinesis

Enables the collection, processing, and analysis of data streams at scale

Key features

• Real-time processing
• Serverless infrastructure
• Scalability

Amazon Kinesis

Enables the collection, processing, and analysis of data streams at scale

Key features

• Real-time processing
• Serverless infrastructure
• Scalability

Amazon Redshift

AI-powered, Massively Parallel Processing (MPP) cloud data warehouse for analytics

Key features

• Achieve up to 6x better price performance
• Zero-ETL approach
• Secure collaboration and governance

Securing data with Amazon Macie

ML-driven data security service to enable sensitive data$^1$ discovery and protection

Key features

• Automated discovery
• Cost-efficient visibility
• Reduce triage time with actionable reporting on sensitive data

¹ PII: Personal Identifiable Information

Securing data with Amazon Macie

ML-driven data security service to enable sensitive data$^1$ discovery and protection

Key features

• Automated discovery
• Cost-efficient visibility
• Reduce triage time with actionable reporting on sensitive data

¹ PII: Personal Identifiable Information

Securing data with Amazon Macie

ML-driven data security service to enable sensitive data$^1$ discovery and protection

Key features

• Automated discovery
• Cost-efficient visibility
• Reduce triage time with actionable reporting on sensitive data

AWS Glue

Serverless data integration service allowing the discovery, preparation and integration of data

Key features

• Support both batch and streaming data

AWS Glue

Serverless data integration service allowing the discovery, preparation and integration of data

Key features

• Support both batch and streaming data
• Prepare data for machine learning and deep learning

AWS Glue

Serverless data integration service allowing the discovery, preparation and integration of data

Key features

• Support both batch and streaming data
• Prepare data for machine learning and deep learning
• Serverless petabyte-scale capacity

AWS Glue

Serverless data integration service allowing the discovery, preparation and integration of data

Key features

• Support both batch and streaming data
• Prepare data for machine learning and deep learning
• Serverless petabyte-scale capacity

Creating an end-to-end data workflow

Creating an end-to-end data workflow

Creating an end-to-end data workflow

Creating an end-to-end data workflow

Creating an end-to-end data workflow

Creating an end-to-end data workflow

Let's practice!

AWS Cloud Technology and Services Concepts