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

 🛠️Data Engineering  Content type: Blog
aws.amazon.com·

Introducing Streamling: Performant and Extensible Data Streaming Framework

 Query Engines  Content type: News
streamingdata.tech·

Using local ClickHouse for data processing

 🛠️Data Engineering  Content type: Blog
rushter.com··r/programming

Amazon SageMaker Unified Studio Notebooks now support EMR Serverless

 🛠️Data Engineering
aws.amazon.com
·

Day 10 of 100 Days of ClickHouse®: What Makes ClickHouse SQL Different?

 📊OLAP
quantrail-data.com··DEV

Run Interactive Workloads on Amazon EMR Serverless with Spark Connect

 Query Engines
aws.amazon.com
·

Optimize Spark and Databricks jobs with Datadog

 🛠️Data Engineering  Content type: Blog
datadoghq.com·

sync with upstream · vinta/awesome-python@eb86241

 Query Engines  Content type: Code
github.com·

Day 3 of 100 Days of ClickHouse® - ClickHouse® vs PostgreSQL

 📊OLAP
quantrail-data.com··DEV

Announcing Spark Connect on Amazon EMR Serverless: Interactive PySpark development, anywhere

 🛠️Data Engineering  Content type: Blog
aws.amazon.com·

Upgrade PySpark from Spark 3.5 to Spark 4.0 with AWS Spark Upgrade Agent

 🏹Apache Arrow  Content type: Blog
aws.amazon.com·

AharonSambol/pypinch: Schemaless binary serialization format without limitations

 Query Engines  Content type: Code
github.com··r/rust

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