#change-data-capture

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#apache-iceberg #incremental-processing #aws-glue #copy-on-write #open-lakehouse #multi-engine-query
Data science
fromMedium
5 days ago

Migrating from Historical Batch Processing to Incremental CDC Using Apache Iceberg (Glue 4...

Use Apache Iceberg Copy-on-Write tables in AWS Glue 4 to migrate from full historical batch reprocessing to incremental CDC, reducing redundant computation, I/O, and costs.
fromTechzine Global
3 months ago

Qlik Open Lakehouse is now generally available

Qlik is making Open Lakehouse generally available. The Apache Iceberg service promises real-time pipelines and automatic optimization without vendor lock-in. The solution combines change data capture (CDC) with automatic Iceberg optimization. Teams can continue to use their existing tools, including Amazon Athena, Snowflake, Spark, Trino, and Amazon SageMaker. During the preview phase, customers reported faster queries and significantly lower infrastructure costs. Qlik Open Lakehouse is now available to all Talend Cloud users.
Data science
Artificial intelligence
fromInfoQ
3 months ago

From Black Box to Blueprint: Thoughtworks Uses Generative AI to Extract Legacy System Functionality

Generative AI can accelerate reverse engineering of legacy black-box systems to produce validated functional blueprints enabling lower-risk modernization.
Data science
fromHackernoon
3 years ago

Building a Real-Time Change Data Capture Pipeline with Debezium, Kafka, and PostgreSQL | HackerNoon

Effective data engineering requires proficient setup of Change Data Capture (CDC) to enhance data synchronization and availability.
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