DATA Pill feed

DATA Pill #127 - dbt Semantic Layer, CSVs Into Graphs Using LLMs

ARTICLES

Learn how combining data streaming frameworks with lakehouse systems enhances real-time insights and long-term analytics.
Performance Analysis of V-Ordering in Fabric Warehouse: On or Off? | 9 min | Data Engineering | Serverless SQL Blog
Explore the trade-offs between read and write efficiency when turning on/off Microsoft's V-Order for Parquet file optimization.
A snapshot of how top companies, governments, researchers and startups are enhancing their work with Google's AI solutions.

TUTORIALS

dbt Semantic Layer - What Is and How to Use | 13 min | Data Analytics | Przemysław Baran | GetInData | Part of Xebia Blog
Uncover how dbt's Semantic Layer can simplify data processing and boost the effectiveness of analytics.
Terraforming Databricks #3: Lakehouse Federation | 9 min | Data Engineering | Tomasz Kostyrka | Seequality Blog
A step-by-step guide to setting up Azure SQL Database connections in Databricks, using both SQL and OAuth authentication.
How to Choose the Architecture for Your GenAI Application | 16 min | Gen AI | Lak Lakshmanan | Towards Data Science Blog
Get a practical framework to help you design the ideal architecture for your GenAI applications based on key priorities like simplicity, speed, and creativity.
Turn Your CSVs Into Graphs Using LLMs | 25 min | LLM | Adam Cowley | Neo4j Developer Blog
Learn how to transform flat CSV files into connected graph models using LLMs to reveal hidden relationships in your data.

NEWS

Discover how dbt Copilot is streamlining analytics workflows with AI, enhancing productivity by automating repetitive tasks.

PODCAST

ML Models for Safety-Critical Systems with Lucas García | 1 h 16 min | ML | Lucas García, Sam Charrington | The TWIML Podcast
Join Lucas García in a deep dive into applying machine learning models in safety-critical systems, focusing on validation, robustness, and interpretability.

CONFS EVENTS AND MEETUPS

Dive into the world of LLMOps to learn how to transition from demo applications to production-grade systems, tackling challenges like prompt sensitivity, cost control, and model tuning.
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