Cloud & Automation
Designing a Report Engine for UI and API Consumers
Design one governed report backend for interactive UI pages, external APIs, downloads and large asynchronous exports.
Artículos prácticos sobre ingeniería de datos, la plataforma de datos de Microsoft, IA y cloud.
Los artículos se escriben primero en inglés. Las traducciones se añadirán con el tiempo.
Cloud & Automation
Design one governed report backend for interactive UI pages, external APIs, downloads and large asynchronous exports.
Cloud & Automation
Choose pre-rendered, live, or hybrid report execution using freshness, repetition, variability, cost and security constraints.
Cloud & Automation
Trace a report request through gateway, security, validation, cache, Fabric query, result construction and monitoring.
Cloud & Automation
Define the report engine as a secure service between UI or API consumers and analytical data.
Microsoft Fabric
A practical workflow for reducing Fabric notebook startup, read, shuffle, transformation and Delta write time without guessing.
Microsoft Fabric
Diagnose Microsoft Fabric Spark session acquisition and reduce avoidable notebook startup overhead through compatible pools, environments and reuse.
Microsoft Fabric
Use Microsoft Fabric pipeline session tags to group compatible notebook activities for Spark session reuse while preserving workload boundaries.
DevOps & Observability
Design a durable pipeline execution log with run identity, parent-child relationships, transitions, retries and correlation.
DevOps & Observability
Measure API and report demand by client, tenant, report type, latency, concurrency, payload and request cost.
DevOps & Observability
A practical monitoring model connecting clients, applications, APIs, report engines, data platforms, compute and storage.
DevOps & Observability
Separate Fabric orchestration, session startup, Spark compute, data read, shuffle and write time with connected telemetry.
DevOps & Observability
Inspect active SQL Server requests, sessions and connections, then connect current state to retained Query Store history.
Python
Build readable, null-safe pandas filters for realistic order questions and validate the result instead of relying on fragile expressions.
Python
Build trustworthy pandas summaries by defining grain, revenue rules, null behavior and joins before grouping real order data.
Python
Profile a pandas DataFrame systematically with shape, schema, samples, null counts, uniqueness and distribution checks before transforming it.
Python
Join pandas DataFrames safely with explicit cardinality, unmatched-key checks, indicators and row-count reconciliation.
Python
Load a real CSV into pandas deliberately, validate its shape and types, and avoid the ingestion assumptions that cause downstream data problems.
SQL Server
Find blocked requests, trace blocking chains to the head blocker, and inspect the responsible session and transaction safely.
SQL Server
A production-safe DMV query for active SQL Server requests, including statement text, identity, resource use, waits and blocking.
SQL Server
Find your SQL Server session ID, investigate another session, and inspect its request, SQL text, waits, blocking and open transaction state.
SQL Server
A production-first workflow for turning a vague SQL Server slowdown into evidence, a likely cause, and a safe next step.
SQL Server
Measure SQL Server row counts, reserved space, data, indexes and unused allocation without double-counting partitions or allocation units.

AI & Data
Engineering patterns for connecting LLM applications to enterprise data with controlled retrieval, tools and authorization.

Microsoft Fabric
A practical guide to workload boundaries, storage, capacity, deployment and operations in Microsoft Fabric.
Microsoft Fabric
What the Bronze, Silver and Gold layers are for, how data quality and incremental processing work across them in Microsoft Fabric, and when fewer layers are the better design.

SQL Server
A production-oriented checklist for investigating SQL Server performance with evidence instead of guesses.