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Scoured 31 posts in 7.2 ms

What Went Wrong with Data Lakes? A 15-Year Reality Check from the Field

 🛠️Data Engineering  Content type: Academic
arxiv.org·

The semantic layer is becoming the foundation for trusted agentic AI

 📊Data Analytics
siliconangle.com·

Introducing Streamling: Performant and Extensible Data Streaming Framework

 🛠️Data Engineering  Content type: News
streamingdata.tech·

Build an AI Helper in 5 Minutes: An Easy Guide to Google Cloud’s Agent Designer

 🧠AI Engineering  Content type: Blog
medium.com
·

Announcing the 2026 Databricks Customer Awards Industry winners

 🧊Apache Iceberg  Content type: Blog
databricks.com·

BoxAgnts Tool System (1) — Design Motivation & Architecture Overview

 🧠AI Engineering  Content type: Blog
medium.com·

Announcing general availability of Apache Spark 4.0 on Amazon EMR

 Apache Spark  Content type: Blog
aws.amazon.com·

Trump Bets $850 Million on a Coal Revival

 🧊Apache Iceberg  Content type: News
heatmap.news
·

Efficient Snowflake Ingestion: Query-Ready Data at Scale

 ⚙️Backend Engineering  Content type: Blog
snowflake.com·

malikhan-dev/zenql: ZenQL is an internal DSL for Go that provides expressive querying and streaming pipelines over in-memory and async data sources. While inspired by the elegance of C# LINQ, it is built with its own identity, design principles, and performance‑oriented architecture—featuring a rich syntax that is native to Go.

 🔗gRPC  Content type: Code
github.com··DEV

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

 🧊Apache Iceberg  Content type: Blog
aws.amazon.com·

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