Modern data architecture faces challenges with data ingestion, including system complexity, additional costs, and delayed time to analytics/AI/ML due to complex ETL processes.

AWS offers Zero-ETL integrations across various services (Amazon Redshift, Amazon OpenSearch, SageMaker Lakehouse) to simplify data movement and reduce complexity in data pipelines.

Data can be ingested into different target systems including data warehouses (Redshift), data lakes (S3), lakehouses, and search/analytics engines (OpenSearch), each serving specific analytical needs.

This webinar covers multiple data ingestion patterns including batch processing, streaming, and various data sources (databases, files, SaaS applications, IoT devices).

Modern data lake solutions support open table formats (Apache Hudi, Apache Iceberg, Delta Lake) that provide transactional support and simplify data lake optimization and management.

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