Apache Spark

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SDLC vs. AIDLC: Why Data Engineering is Pushing the Boundaries of Software Development

 🔄ETL Pipelines  Content type: Blog
medium.com·

Streaming and Batch Data Architectures with Microsoft Fabric to Azure Databricks

 🔌Data Integration

Introducing Streamling: Performant and Extensible Data Streaming Framework

 ⚙️DataFusion  Content type: News
streamingdata.tech·

Run Interactive Workloads on Amazon EMR Serverless with Spark Connect

 📊Columnar Databases
aws.amazon.com
·

DataAgents: How we turned 9 months of analysis into 10 days

 🚨Fraud Detection  Content type: Blog
medium.com
·

Build stateful streaming applications with Apache Spark 4.0 on Amazon EMR Serverless

 🚨Fraud Detection  Content type: Blog
aws.amazon.com·

Beyond JSON blobs: Implementing the VARIANT data type in Apache Iceberg V3

 🏠Lakehouse  Content type: Blog
aws.amazon.com·

Accelerate SQL development with SageMaker Data Agent in Query Editor

 🔌Data Integration  Content type: Blog
aws.amazon.com·

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