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Training courses

Guided courses with videos and exercises live at timextender.training. Every published module is now integrated into these docs — the pages below are the course content, cross-linked to the reference documentation. Interactive exercises, quizzes and the certification flow stay on the training site.

Integrated

All 26 published modules across the Data Integration, Data Quality and Data Enrichment courses have been brought into this documentation. Each page links back to its source module on the training site.

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Data Integration

The most complete course — 22 modules, from a first instance to enterprise architecture. Course overview

Foundations

  1. What is Data Integration? — start here for an introduction
  2. SQL Sandbox — configure a data storage resource for your training environment
  3. Install and configure — install the server service and desktop application
  4. Portal — configure user access, instances and data source connections

Ingest

  1. Ingest instance — ingest from multiple sources, run transfer and synchronization tasks

Prepare

  1. Prepare instance — foundations of dimensional modelling, deployment and execution
  2. Product dimension — data areas, incremental load, denormalising with conditional lookups
  3. Customer dimension — multi-field lookups and conditional transformations
  4. Sales transactions — denormalise header and detail tables, calculated fields
  5. Finalize the presentation layer — presentation layer, date table, relations

Deliver

  1. Deliver instance — curate a business-ready semantic model
  2. Semantic model endpoints — choose endpoints for each analytics platform

Quality, performance and modelling

  1. Data cleansing — validation rules, primary key constraints, referential integrity
  2. Optimization — automated tools, indexing and compression
  3. Table transformations — schema behavior, aggregations, table inserts
  4. Slowly Changing Dimensions — SCD types and surrogate keys
  5. Security — table, column and row level control

Operating it

  1. Scheduled executions — orchestration, execution packages, scheduled refreshes
  2. Agile Team Development — sprints, perspectives and promotion plans
  3. Multiple Environments — configure environments and migrate between them
  4. Enterprise Architectures — Azure SQL, Snowflake and Fabric reference architectures

Certification

  1. Solution Architect Exam — review the study guide, register and get certified. See Certification Exam Study Guide in these docs.

Data Quality

Course overview

  1. What is Data Quality? — concepts, core features, the three control types
  2. Data Providers — connect to the systems you want to check
  3. Query Control — build quality control checks and exception notifications

Then in these docs: Create your first query and Create a Test Group from a template.

Data Enrichment

  1. What is Data Enrichment? — master core business data, replace spreadsheets, import source data

Then in these docs: Getting started with Data Enrichment, which walks through the four setup steps.

Orchestration

Coming soon on the training site. In the meantime: Getting started with Orchestration and Turnkey introduction.

Timextender Classic

Classic training is hosted separately, on Teachable. It covers building a data infrastructure using Business Units.

In these docs: Classic prerequisites and Activate Timextender Classic.

Other ways to learn

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