ARTICLES
4 Advanced Data Modeling Techniques Every Data Engineer Must Learn | 6 min | Data Engineering | Khushbu Shah | ProjectPro Blog
Four key modeling techniques that help data engineers scale pipelines, cut query costs, and build production ready warehouses.
Building a Unified Lakehouse for Recommendation Systems with Apache Paimon at TikTok | 6 min | Batch Processing | Shuiqiang Chen | Alibaba Cloud Blog
TikTok’s Paimon based lakehouse unifies batch and stream data for scalable real time recommendations.
BigQuery Advanced Runtime: Automatic Query Acceleration | 3 min | Data Analytics | Google Cloud Blog
BigQuery introduces enhanced vectorization and short query optimization for faster analytics without code changes.
Building a Next-Generation Key-Value Store at Airbnb | 6 min | Data Engineering | Shravan Gaonkar | Airbnb Engineering Blog
Airbnb’s Mussel v2 becomes a cloud native NewSQL system with sub 25 ms reads and seamless scaling.
How Healthcare Organizations Are Using AI for Better Outcomes | 4 min | Applied AI | Xebia Blog
Dutch hospitals apply federated learning and clinician led design to bring AI safely into healthcare.
How Siemens, SAP, and Confluent Shape the Future of AI-Ready Integration | 4 min | Data Streaming | Kai Waehner | Pesonal Blog
Siemens and SAP show how Kafka and Flink enable real time data flow and AI ready integration.
TUTORIAL
How Parlant Guarantees AI Agent Compliance | 6 min | AI Infrastructure | Yam Marcovitz | Parlant Blog
Parlant ensures safe and compliant AI agents using structured reasoning and strict mode response filters.
TOOL
Single-node geospatial database built for blazing-fast spatial analytics on local or cloud setups.
A 3.4B parameter LLM that runs entirely in your browser with privacy by default and offline capability.
DATA TUBE
Apache Iceberg Explained in 10 Minutes – Everything You Need to Know! | 11 min | Data Engineering | Yusuf Ganiyu | Personal Channel
A quick, clear rundown of how Iceberg structures, stores, and optimizes modern data lakes.
PINNACLE PICKS
Your last week top picks:
How Python 3.14 t-Strings Differ from f-Strings | 3 min | Data Engineering | Stack Overflow
Python’s new t-strings preserve metadata for safer interpolation in SQL, HTML, and regex contexts.
Expanding the Hive Ecosystem with Iceberg REST | 4 min | Data Infrastructure | Dmitriy Fingerman | Medium
Hive gains modern table management with Iceberg REST, simplifying hybrid architectures via APIs.
Airbyte v2 | 6 min | Data Integration | Airbyte Blog
Airbyte v2 launches with faster syncs, scalable connectors, and cloud-native orchestration for ELT pipelines.
________________________
Have any interesting content to share in the DATA Pill newsletter?
