Datagaps is the only company to be listed in Gartner® DataOps Tools & Data Observability market guides

The ETL Testing Playbook: From Assessment to Action

From Data Chaos to Trusted Decisions

Silent data errors can derail analytics and decisions. Your data deserves better than manual checks.
The ETL Testing Playbook is more than an eBook—it’s a transformation toolkit for modern data teams.

Inside, you’ll discover:

Whether you’re migrating to Snowflake or Databricks, or building CI/CD pipelines this playbook gives you the frameworks and tools to ensure every decision is built on trusted data. Stop losing time, money, and trust to silent data errors. Automated testing isn’t a luxury—it’s a requirement.

The Definitive Guide to Automated BI Testing

Manual BI testing is slow, error-prone, and difficult to scale—leading to delayed reports, inconsistent insights, and reduced confidence in analytics. This eBook introduces a structured framework for automated BI testing using BI Validator, helping teams ensure accuracy, performance, and governance across Power BI, Tableau, and migration projects.

What You’ll Get:

Data Quality Maturity Assessment Guide

A single bad data point can cost an organization millions, erode customer trust, and derail critical decisions.
The hidden risks of poor data quality are growing as data pipelines become more complex.
You can’t manage what you can’t see, and that’s where data observability comes in.
It’s the new standard for ensuring data is reliable and trustworthy across your entire organization.

What You’ll Get in This eBook:

Download Datasheet
Download Datasheet
Download Datasheet
Download Datasheet
Download Datasheet

Data Quality Monitor

Continuously assess, score, and improve your enterprise data quality using rule-based and AI-powered validation
Automated Data Quality Checks at Scale

Validate uniqueness, completeness, domain accuracy, and detect orphan records.

AI-Driven Anomaly Detection and Alerts

Identify data drift and outliers using ML-based statistical methods and IQR-based profiling.

Low-Code Rule Configuration with Data Rule Wizard

Create and deploy validation rules quickly without coding, even across large datasets.

Graphical Scoring and Monitoring Dashboard

Visualize data quality trends across models, tables, and records with actionable insights.

CI/CD and Cloud Integration Ready

Enable continuous validation across pipelines using integrated APIs and DevOps compatibility.

Test Data Manager

Generate high-quality synthetic test data securely while maintaining regulatory compliance with HIPAA, GDPR, and CCPA
AI-Powered Synthetic Test Data Generation

Automatically create realistic data based on patterns in production while masking PII/PHI.

Reduced Cost and Time for Test Data Preparation

Eliminate manual rule-writing and speed up test readiness for complex use cases.

Support for Diverse Data Formats and Models

Generate millions of records in JSON, XML, CSV, relational, or hierarchical formats.

Secure, Policy-Driven Data Masking

Ensure sensitive fields are protected using deterministic, reversible, or random masking.

Flexible Deployment Across Cloud or On-Prem

Deploy within your secure environment and integrate into automated pipelines seamlessly.

ETL Testing

Maximize the efficiency, quality, and reliability of your data pipelines through intelligent automation, validation, and scalability.
100% Data Validation Across Pipelines

Validate billions of records using Spark-powered parallel execution across on-prem and cloud sources.

Accelerated Migration and QA Cycles

Reduce migration testing time by up to 60% and QA costs by 30% with automated workflows.

Automated Metadata and Transformation Testing

Detect schema mismatches and ensure business rules are correctly applied via AI-assisted validation.

Seamless Collaboration and Governance

Enable role-based access, ALM integration, and shareable web reports to unify cross-team efforts.

Low-Code/No-Code Test Creation with AI

Empower both technical and business users to build, schedule, and execute validations using prompt-based automation.

BI Validator

Ensure accuracy, performance, and security of your Business Intelligence dashboards and reports across platforms like Tableau, Power BI, and Oracle Analytics
Automated Regression Testing Across BI Reports

Detect broken visuals or logic changes post-upgrade and data refreshes.

Cross-Platform Validation of Reports and Dashboards

Compare visuals and data across environments and BI tools with zero manual effort.

Performance and Load Testing for BI Assets

Simulate concurrent user access to measure response times and report load failures.

Access and Security Validation

Ensure only authorized groups have access to the correct records and reports.

Aesthetic and Metadata Change Detection

Identify formatting inconsistencies, filter changes, and layout drift with each release.

Products

product_menu_icon01

DataOps Suite

Intelligent Data Validation and Analytics Testing Platform with Agentic AI.

ETL Validator automated ETL testing tool

ETL Validator

Automated Data Validation and ETL Testing with Agentic AI.

BI Validator automated BI testing tool

BI Validator

Smarter BI Validation For Power BI, Tableau, Oracle Analytics – Accelerated by AI Agents.

Data Quality Monitor software

DQ Monitor

Proactive Data Quality with Agentic AI – Predict, Prevent, Govern.

Test Data Manager software

Test Data Manager

Generate compliant and realistic test data for all your testing needs, enabled by Agentic AI.

×