Automate education data work
Sequence LMS exports, learning events, Kafka or CDC streams, warehouse jobs, crawler runs, LLM enrichments, dashboards, APIs, and downstream handoffs.
Run the data workflows education and training depends on
Run the education data workflow behind LMS analytics, learning insights, content enrichment, reporting, and AI context.
Mage
I created the education workflow and prepared it for review.
- profile LMS, learning event, catalog, and warehouse sources
- validate tenant scope, privacy rules, quality checks, and freshness
- publish dashboards, engagement stats, reports, APIs, and product updates
- register learning context with lineage, definitions, and access controls
You can inspect the source map, tenant and privacy checks, lineage, delivery status, and context artifacts before educators, schools, product teams, or agents use the output.
Mage helps education and training teams run LMS analytics, learning events, content enrichment, reporting, and AI context as governed workflows that move, transform, validate, deliver, and expose trusted context to AI.
Overview
Modernize education data workflows from LMS to AI
Mage helps education and training teams turn LMS analytics, learning events, content enrichment, reporting, and AI context into governed workflows instead of scattered jobs and dashboards.
Modernize learning data models
Move tenant mapping, metric definitions, engagement stats, catalog enrichment, content classification, and reporting logic out of scripts, spreadsheets, and point tools.
Prepare AI-ready context
Package attendance, score, learning-event, content, program, organization, and metric context with lineage, definitions, privacy guardrails, and access boundaries.
Use cases for education and training
Each use case starts with work education teams already run: LMS metrics that need trusted definitions, learning events that need school-safe delivery, and enrichment runs that need validation.
LMS analytics context layer
Turn LMS data, warehouse tables, file drops, tenant metadata, dbt models, and metric definitions into trusted analytics and AI context.
LMS, Snowflake, GCS, BigQuery, and metadata feed Mage profiling, dbt, tenant mapping, and delivery workflows for dashboards, text-to-SQL, reports, and metric context.
Existing data
Canvas / LMSattendance + scores
Snowflake + BigQuery
GCS fileslearning exports
Organization metadataschool + tenant
Mage context layerlearning_context
Profilelearning data
dbt modelstrusted metrics
Tenant mappingsschool boundaries
Semantic definitionsshared language
Text-to-SQLcompletion by program
Trusted reportsgoverned definitions
Education data workflows break where tools stop
The workflows break where education teams already feel the pain: LMS definitions drift, learning events need privacy checks, enrichment workflows need retries, and AI needs governed context.
Profile LMS attendance data and publish tenant-safe dashboards every weekday before 8am.
LMS
Learning data is fragmented. LMS data, learning events, crawler outputs, warehouse tables, and metadata arrive with schema changes, tenant boundaries, and downstream dependencies.
Why did attendance freshness drop?
The LMS export arrived 42 minutes late, delaying the tenant-scoped attendance metric.
LMS export delayed 42 min
Education logic is hidden. Tenant mapping, privacy checks, engagement stats, catalog enrichment, and reporting logic often live in scripts, spreadsheets, point tools, and dashboards.
Learning statsRun delayed
Inspect run
Late event stream foundPrivacy checks readyOpen run logs
AI context is unsafe. AI assistants and product features need LMS, learning event, organization, metric, and catalog context, but freshness, definitions, lineage, and permissions are scattered.
Pipeline
Table
Chart
File
AnswerAttendance freshness dropped after the LMS export arrived late.
Outputs must reach educators. Dashboards, reports, engagement stats, APIs, product search, catalogs, and agents need governed delivery, not another warehouse-only handoff.
One education workflow becomes governed execution
Mage turns fragile education data work into visible dependencies, checks, governed handoffs, and reusable AI context.
Run our education analytics workflow. Profile LMS data, validate tenant scope and privacy, aggregate learning events, enrich course content, publish outputs, and prepare context for teams and agents.
The education workflow is ready to review. I connected the sources, added tenant and privacy checks, prepared delivery outputs, and registered reusable learning context.
Learning activity
98%metric freshness42tenant checks
Ask. Start with the LMS metric, learning event stream, catalog enrichment job, or education AI context that needs trust.
Sequence. Mage sequences LMS tables, learning events, warehouses, crawlers, files, metadata, and model outputs.
Validate. Checks catch schema drift, stale LMS data, missing learning events, unsafe exports, low-quality enrichment, and failed writes.
Standardize. Mage makes hidden tenant, metric, privacy, enrichment, and delivery logic visible before the workflow becomes the source of truth.
Deliver. Outputs reach dashboards, reports, engagement stats, APIs, product search, catalogs, BI, and scoped agents.
Context. Definitions, tenant scope, privacy checks, lineage, run history, and permissions become context teams can reuse.
What Mage governs across education workflows
Learning workflow orchestration LMS exports, learning events, crawler runs, and warehouse jobs can arrive late or change shape. Mage waits, validates, retries, and continues only when dependencies are ready.
Education-specific validation Check tenant boundaries, privacy rules, metric definitions, event quality, enrichment accuracy, freshness, and schema changes before delivery.
Analytics modernization Move LMS metrics, engagement stats, content classification, catalog enrichment, and reporting logic out of scripts and point tools.
Action surfaces Deliver governed outputs to dashboards, educator-facing stats, reports, APIs, product search, catalogs, BI, and notification surfaces.
Learning context registration Register tenant maps, definitions, privacy checks, lineage, prompt versions, run history, and exceptions as reusable context.
Permission-aware AI context Expose scoped LMS, learning event, program, metric, and catalog context to analysts, educators, product features, and education agents.
Start a trial
Talk with Mage about production data workflows, AI-ready context, managed deployments, and security requirements for your team.