An AI-native analytics agent sits between users and the data warehouse, translating natural-language questions into governed SQL or Python workflows and dashboards.
Process mainframe fixed-width files by transcoding EBCDIC, extracting fields with Spark, decoding packed decimals, and validating data before loading to Delta Lake.
Design a stateless JWT auth service with Spring Boot 3, Redis caching, and Sentinel for high availability, faster token validation, and reduced DB load.
Most RAG pipelines coordinate a vector database and a structured lakehouse that don't share a transaction model. Here's how to fix that with a unified approach.
Setting up a data catalog isn’t just a tool problem. My work with Azure Purview and Collibra showed success depends on governance, metadata, and adoption.
Edge AI runs AI on devices for real-time decisions, cutting latency, boosting privacy, lowering costs, and working without internet for faster, reliable systems.
Google Data Migration may stall at 99% due to large mailboxes, throttling, network issues, or corrupted items. Check permissions, split data, and retry the migration.
Learn why overprivileged tokens are a platform design failure, not a security bug, and how runtime enforcement, granular scoping, and safe migration fix them.
CV data issues keep recurring. I built cv-quality — a toolkit to audit datasets, catch annotation errors, find mislabeled samples, and streamline labeling.
Delta often performs better for Spark workloads, while Iceberg tends to be stronger for a multi-engine environment. The right choice depends on your platform use case.
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