Aws Ingestion Tools
AWS Tools to Ingest Data
Section titled “AWS Tools to Ingest Data”Purpose-Built Ingestion Services
Section titled “Purpose-Built Ingestion Services”AWS provides purpose-built tools organized by source types to reduce undifferentiated lifting in data ingestion.
Amazon AppFlow
Section titled “Amazon AppFlow”Core Capabilities
Section titled “Core Capabilities”- Function: Transfer data between SaaS applications and AWS services
- Integration: Reuse available service integrations with Amazon AppFlow APIs
- Transformation: Provides data transformation capabilities
Key Features
Section titled “Key Features”- Rapid Development: Integrate applications immediately instead of spending months building connectors
- Data Transformation: Filtering, masking, validating, partitioning, aggregating, and data cataloging
- Automation: Automates data flows between SaaS and AWS services
Supported Sources and Destinations
Section titled “Supported Sources and Destinations”- SaaS Sources: Salesforce, SAP, Google Analytics, Facebook Ads, Zendesk, ServiceNow
- AWS Destinations: Amazon S3, Amazon Redshift
Companies rely on SaaS services for mission-critical workflows and face challenges collecting data from growing service environments into centralized locations. Amazon AppFlow addresses this by automating data flows and enabling business insights from SaaS data.
AWS DataSync
Section titled “AWS DataSync”Core Capabilities
Section titled “Core Capabilities”- Function: Fully managed data migration service
- Purpose: Simplifies, automates, and accelerates copying file and object data
- Optimization: Optimized for speed with encryption and integrity validation
Key Features
Section titled “Key Features”- Data Movement: Move large amounts of data between on-premises data centers and AWS Cloud
- Storage Integration: Move data between Amazon S3, Amazon EFS, and Amazon FSx
- Scheduling: Schedule replication tasks (hourly, daily, weekly)
- Security: Encryption and integrity validation ensure secure, intact data transfer
- Metadata Preservation: Preserves metadata when moving data
DataSync handles the complexity of large-scale data transfers while ensuring data arrives securely and ready for use.
AWS Data Exchange
Section titled “AWS Data Exchange”Core Capabilities
Section titled “Core Capabilities”- Function: Provides customers way to find, subscribe to, and use third-party data in the cloud
- Data Bridge: Bridges gap between providers and subscribers exchanging data
- Delivery Methods: Supports data delivery through files, tables, and APIs
Key Features
Section titled “Key Features”- Comprehensive Catalog: Find data using comprehensive catalog with custom and private products
- Quick Implementation: Start using licensed data in production immediately without building ingestion pipelines
- Cost Reduction: Lower costs, increase agility, and innovate faster
Use Cases
Section titled “Use Cases”- Pharmaceutical: Use life expectancy benchmarks for drug research
- Retail: Leverage weather data for customer needs and inventory optimization
- Restaurants: Subscribe to location data for expansion planning
AWS Data Exchange simplifies and streamlines data exchange by helping businesses find needed data and enabling quick integration into analytics solutions.
Service Selection Guidelines
Section titled “Service Selection Guidelines”Consider Purpose-Built Tools
Section titled “Consider Purpose-Built Tools”- Reduce undifferentiated lifting by using specialized services
- Match ingestion service to data source type
- Evaluate integration complexity and operational overhead
Source-Service Mapping
Section titled “Source-Service Mapping”- SaaS Applications: Amazon AppFlow (Salesforce, Zendesk, etc.)
- File Shares: AWS DataSync
- Third-Party Data: AWS Data Exchange
Each service addresses specific ingestion challenges while providing managed capabilities that reduce the operational burden of building custom data ingestion solutions.
AWS provides purpose-built ingestion tools including Amazon AppFlow for SaaS data, DataSync for file shares, and AWS Data Exchange for third-party data. These services reduce operational complexity while enabling automated, secure data movement into AWS analytics infrastructure.