Troubleshooting missing Member attribute in Entra ID users and fixing it with PowerShell.
Experiment testing if a 3D printer heatbed can function as an FM radio antenna using a NanoVNA.
![[Video] How to Tune Queries Fast](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-70e64f217f17-full-fc5a2926.webp)
Brent Ozar demonstrates using sp_BlitzCache and AI to quickly tune SQL Server queries by identifying bottlenecks and applying performance advice.
A curated roundup of tech links for May 2026, focusing on Kafka, event streaming, and conference highlights.
Notes on the trigonometric Fourier series, including coefficient derivation and connection to linear algebra in Hilbert space.
Explains how to turn Kullback-Leibler divergence into a metric using Jensen-Shannon distance, with Python examples.
Daily reading list covering AI agents, MCP, Gemini Managed Agents, and the impact of AI on developer skills and productivity.
Explores how agentic AI auto-heals and protects enterprise data pipelines by replacing static alerts with autonomous monitoring and recovery.
Explains the architecture of agentic analytics systems, focusing on the ReAct reasoning loop, tool access, error handling, and multi-agent setups.
Guide to Apache Iceberg v3 features including deletion vectors, new data types, encryption, and upgrade planning for production workloads.
Tutorial on building a custom agentic analytics system using Python, LangChain, and Dremio SQL data lakes for automated SQL investigation.
A guide to preventing data swamps in lakehouses through active governance, metadata stewardship, schema evolution safety, and drift detection.
Explains how Apache Iceberg enables hybrid-cloud analytics for regulated markets by separating storage, compute, and catalog.
Guide to securing Apache Iceberg tables with row/column-level access control using Apache Polaris and query engine policies.
Best practices for managing Apache Iceberg snapshot expiration in data lakehouses to optimize query performance and metadata size.
Explores how Apache Iceberg decouples storage and compute for cost optimization, including multi-engine routing and TCO analysis.
A step-by-step playbook for migrating from legacy data warehouses to open lakehouses, covering inventory, architecture, and trust-building.
Explains designing an open catalog architecture for AI agents in an agentic lakehouse, covering Apache Polaris and Dremio's Open Catalog.
A detailed comparison of total cost of ownership between open lakehouse and proprietary data warehouse architectures.
Explores achieving sub-second BI queries on Apache Iceberg data lakehouses by addressing object storage latency through file layout optimization and caching.
