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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse
- AWS Glue has introduced native connectors for 19 applications to enable seamless access and consolidation of data from various sources.
- Zero-ETL is a set of fully managed integrations by AWS that minimizes the need to build ETL data pipelines and makes data available in Amazon SageMaker Lakehouse and Amazon Redshift from multiple operational, transactional, and enterprise sources.
- Zero-ETL provides service-managed replication designed for scenarios where customers need a fully managed, efficient way to replicate data from one source to AWS with minimal configuration.
- Amazon SageMaker Lakehouse unifies all your data across Amazon S3 data lakes and Amazon Redshift data warehouses.
- AWS Glue now offers multiple ways to build data integration pipelines depending on your integration needs. Glue ETL offers customer-managed data ingestion that is suitable for complex transformations.
- The new functionality with AWS Glue enables customers to create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in Amazon SageMaker Lakehouse and Amazon Redshift.
- One of the benefits of using Apache Iceberg in zero-ETL integration is the ability to perform Time Travel, which allows you to access and query historical versions of your data effortlessly.
- With Iceberg Time Travel, you can easily roll back to previous data states, compare data across different points in time, or recover from accidental data changes.
- This blog post explores how zero-ETL capabilities combined with its new application connectors are transforming the way businesses integrate and analyze their data from popular platforms such as ServiceNow, Salesforce, Zendesk, SAP, and others.
- Using AWS Glue with Zero-ETL integration powered by native service connectors, customers can unlock the full potential of their data across multiple platforms faster and stay ahead of the curve.
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