Tag: #data-pipeline
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 6 posts
The Block-Level Confidence Scores in Mistral OCR 4.1 — The Value That Decides Where People Go in a Document Pipeline
Mistral released OCR 4.1 with paragraph-level bounding boxes, structural block labels, and block-level confidence scores. For anyone who has built a document pipeline, the third one is what matters, because confidence sc
2026-08-14 · 6 min read #ocr#document-ai#data-pipeline#human-in-the-loop#cost-optimizationFeature Store & MLOps Pipeline Complete Guide 2025: Feast, Feature Engineering, Model Serving
Everything about Feature Store and MLOps! Feature Store architecture (Feast/Tecton/Hopsworks), Feature Engineering patterns, MLOps pipeline (training → validation → deployment → monitoring), Model Serving (BentoML/Seldon
2026-04-13 · 19 min read #feature-store#mlops#feast#feature-engineering#model-servingWEKA High-Performance Storage Complete Guide 2025: Parallel File System for AI/HPC Workloads
Everything about WEKA! Parallel file system architecture, NVMe tiering, GPU Direct Storage, AI/ML workload optimization, cloud integration (AWS/Azure/GCP), vs Ceph/Lustre/GPFS, data pipelines, performance benchmarks.
2026-03-25 · 22 min read #weka#wekafs#storage#parallel-filesystem#ai-infrastructureData Engineering Pipeline Complete Guide 2025: ETL/ELT, Spark, Airflow, Real-Time Streaming
Everything about data engineering! ETL vs ELT, Apache Spark (PySpark), Apache Airflow (DAG/Operator/Sensor), real-time streaming (Kafka+Flink), dbt (data transformation), data warehouses (BigQuery/Snowflake/Redshift), da
2026-03-25 · 18 min read #data-engineering#etl#elt#spark#airflowData Engineering & AI Pipeline Guide: From Apache Spark to Kafka
A comprehensive guide to data engineering for AI. Covers Apache Spark, Kafka, Airflow, dbt, Delta Lake, and Feature Stores for designing and implementing large-scale data pipelines.
2026-03-17 · 12 min read #data-engineering#apache-spark#kafka#airflow#dbtBuilding Real-time Financial Data Pipelines: A Practical Guide to Kafka and Flink Streaming Architecture
A comprehensive guide to designing and implementing real-time financial data pipelines. Covers Kafka-based market data ingestion, Flink stream processing, CDC integration, windowed aggregation, anomaly detection, and low
2026-03-13 · 14 min read #finance#kafka#flink#streaming#data-pipeline