Crystalspiders Institute - Database Services & Training | SQL Server DBA, PostgreSQL DBA, Power BI, Python & AI Training
+91 7338457517 | contactus@crystalspiders.com
Free Demo
CORPORATE DATA ENGINEERING & ANALYTICS ENGINEERING TRAINING

Corporate dbt & Modern ELT Training

Build reliable, tested and maintainable data transformation workflows

Equip your data teams with practical dbt and Modern ELT skills to transform, test, document and deploy analytical data using SQL, modular models, version control and modern data warehouse practices.

Enquire for Corporate TrainingExplore Corporate Training
SQL-Based TransformationsTesting & Data QualityCI/CD & Documentation
Corporate dbt and Modern ELT training with analytics engineering and data transformation workflows
Modular Data Models
Built-In Testing
Documentation & Lineage
Version Control
Modern ELT Workflows
DBT & MODERN ELT CORPORATE TRAINING

Transform warehouse data with analytics engineering practices

Corporate dbt training at Crystalspiders focuses on SQL-driven data transformation, modular modeling, testing, documentation, lineage and software-engineering practices for analytics teams. The program can connect these practices with the Modern ELT architecture already used by your organization.

dbt Project Structure

Organize models, sources, tests, macros, documentation and configuration into maintainable projects.

SQL Transformation

Build staging, intermediate and business-facing models using reusable SQL transformation patterns.

Testing & Validation

Apply model and data-quality checks to improve confidence in analytical transformations.

Documentation

Document models and business logic so transformation workflows become easier to understand and support.

Version Control & CI/CD

Integrate dbt projects with Git-based collaboration, automated checks and deployment workflows.

Dependencies & Lineage

Understand model relationships, references and lineage across increasingly complex transformation projects.

RELATED DATA ENGINEERING TRAINING

Extend dbt with your wider data engineering stack

Combine dbt and Modern ELT with Data Engineering, Advanced ETL, Open Source ETL, Apache Airflow and Databricks training.

Data Engineering TrainingBuild end-to-end engineering skills around pipelines, platforms and analytics-ready data. Advanced ETL & Data IntegrationDevelop deeper skills for complex ingestion, integration and transformation workflows. Open Source ETL ToolsExplore open-source approaches for data ingestion, integration and pipeline automation. Apache AirflowOrchestrate scheduled data workflows and coordinate transformation jobs. Databricks TrainingConnect modern transformation practices with lakehouse engineering workflows. CI/CD for Data EngineeringApply automated validation and deployment practices to data engineering projects.
CORPORATE COURSE TOPICS

dbt & Modern ELT training curriculum

The curriculum can be tailored to your warehouse, SQL standards, deployment approach and existing analytics engineering practices.

dbt Foundations

  • Analytics engineering concepts
  • dbt project structure
  • Models, sources and configurations
  • Dependencies and references

Data Modeling

  • Staging and intermediate layers
  • Business transformation models
  • Reusable SQL patterns
  • Incremental model concepts

Testing & Quality

  • Model validation
  • Data-quality testing approaches
  • Failure analysis
  • Quality gates in CI/CD

Macros & Reuse

  • Jinja and reusable logic
  • Macros
  • Project conventions
  • Maintainable transformation patterns

Documentation & Lineage

  • Model descriptions
  • Metadata and documentation
  • Dependencies and lineage
  • Knowledge sharing across teams

Deployment & Operations

  • Git-based collaboration
  • CI/CD integration
  • Environment management
  • Production workflow practices
MODERN ELT WORKFLOW

From raw warehouse data to trusted analytics models

01

Source

Connect analytical workflows to source data already loaded into the organization's data platform.

02

Stage

Create consistent staging models that standardize source structures and naming conventions.

03

Transform

Build modular business transformations using SQL models and reusable logic.

04

Test & Document

Validate important model assumptions and document the transformation layer for wider teams.

05

Deploy & Monitor

Integrate source control, CI/CD and operational checks into repeatable ELT delivery workflows.

ENTERPRISE USE CASES

Where dbt and Modern ELT can support data teams

BI & Analytics Models

Prepare trusted dimensional, reporting and analytical models for downstream BI teams.

Data Warehouse Transformation

Implement SQL-based transformation layers directly where analytical data is stored.

Collaborative Development

Use source control and review practices to manage analytics code as an engineering asset.

Data Quality

Build validation into transformation workflows and identify issues before downstream use.

Data Lineage

Make relationships among transformed models easier to understand and maintain.

Continuous Delivery

Connect analytics transformation projects with automated validation and deployment routines.

TOOLS & TECHNOLOGIES

Technology areas covered in the training

The course can be adapted to your current warehouse and analytics engineering environment.

dbtSQLJinjaGitCI/CDData WarehousesSnowflakeBigQueryRedshiftDatabricksPostgreSQLData Quality
DBT & MODERN ELT CORPORATE TRAINING

Learn modern data transformation and analytics engineering practices

dbt & Modern ELT training at Crystalspiders helps data teams organize warehouse transformations as maintainable, version-controlled projects. The program focuses on SQL-based models, dependencies, reusable logic, testing, documentation and deployment practices for analytics engineering.

The training can cover staging and business transformation layers, model references, incremental processing, macros, data-quality checks, documentation, lineage and CI/CD workflows. This supports teams that want to manage analytical transformation code with the same engineering discipline used for other software development work.

Corporate delivery can be aligned to your warehouse platform and existing data architecture. Teams can work through practical scenarios involving reporting models, business transformations, testing, documentation and deployment workflows.

dbt models, dependencies and SQL transformations
Testing and data-quality validation
Documentation, metadata and lineage
Git-based collaboration and CI/CD
Modern ELT architecture and warehouse transformations
Corporate use cases and hands-on exercises
WHO SHOULD ATTEND

Designed for analytics and data engineering teams

Analytics Engineers
Data Engineers
SQL Developers
BI & Analytics Teams
ETL Developers
Cloud Data Teams
FAQ

dbt & Modern ELT corporate training FAQs

What is covered in corporate dbt & Modern ELT training?

The program covers dbt fundamentals, analytics engineering, SQL models, staging and intermediate transformations, model dependencies, tests, documentation, macros, incremental models, references, project organization, CI/CD and production-oriented ELT workflows.

Who should attend dbt & Modern ELT corporate training?

The training is suitable for analytics engineers, data engineers, SQL developers, BI professionals, ETL developers and technical team members who build or support analytical data transformation workflows.

Does the training include hands-on dbt model development?

Yes. The course focuses on practical model development using SQL, project structure, dependencies, reusable transformations, tests, documentation and deployment-oriented workflows.

Does the course cover dbt testing and data quality?

Yes. Participants learn how testing can be incorporated into dbt workflows to validate analytical models and improve confidence in transformed data.

Does the training cover dbt documentation and lineage?

Yes. The curriculum covers documentation, model descriptions, metadata, dependencies and lineage concepts so teams can make transformation logic easier to understand and maintain.

Can the dbt & Modern ELT training be customized for our organization?

Yes. Corporate delivery can be aligned to your team's SQL standards, warehouse platform, existing ETL processes, transformation architecture, CI/CD workflow, data-quality practices and business use cases.

CORPORATE TRAINING

Build stronger analytics engineering and Modern ELT capabilities across your team.

Discuss your warehouse, transformation workflows and preferred corporate training format with Crystalspiders.

Contact UsCorporate Training