🏗 data engineering - widget101 · Scour

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

🌟spark Blog

aws.amazon.com·

aayush4vedi/drift-spark: Spark-native embedding lifecycle- produce, CDC refresh, model-migrate, audit.

🌟spark Code

github.com··Hacker News

I built a Databricks medallion lakehouse to roast my own YouTube history (Bronze Silver Gold Existential Dread)

🏛️Lakehouse Architecture Blog

How to Build Data Pipelines That Resist Partition Drift

🏗️Data Platforms

hackernoon.com·

Databricks wants to kill the “email me a file” problem for AI agent skills

🧊Iceberg Tables

thenewstack.io·

Linux Fundamentals for Data Engineering

dev-to-uploads.s3.amazonaws.com··DEV

Why We Built SQL Tran: Automated Oracle to PostgreSQL Migration in Seconds

💾Databases Blog

spectralcore.com··Hacker News

QN : Ingest and transform data in a lakehouse

🌟spark Blog

Announcing general availability of Apache Spark 4.0 on Amazon EMR

🌟spark Blog

aws.amazon.com·

I Shipped 12 BI Dashboards With 5 Different Tools. Here Is the Honest Comparison.

📉data visualisation Blog

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

🌟spark Blog

aws.amazon.com·

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

☁️Cloud Computing Blog

aws.amazon.com·

I Audited LinkedIn Skills Sections on 60 Profiles — 41 Were Listing the Wrong Skills for Their Target Role

☁️Cloud Computing Blog

Less-relevant results

Git real: AI agents aren’t just for solo developers anymore

thenewstack.io·

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

📊AWS Analytics Blog

aws.amazon.com·

Accelerate SQL development with SageMaker Data Agent in Query Editor

📊AWS Analytics Blog

aws.amazon.com·

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