Quick Start Guide

Welcome to Qualytics! This guide will help you quickly get up and running with the platform, from initial setup through your first data quality operations. Whether you're a business user or technical administrator, you'll find everything needed to start managing data quality at scale.

Let's get started 🚀

Deployment Access

Each Qualytics deployment is a single-tenant, dedicated cloud instance, configured to your organization's requirements. Your deployment will be accessible via a custom URL (e.g., https://acme.qualytics.io), with corresponding API documentation at /api/docs.

Onboarding Process

The Qualytics onboarding process ensures your environment is perfectly tailored to your needs:

1. Screening and Criteria Gathering

Our team works with you to understand your specific needs, including:

Evaluating sample data requirements
Identifying primary success criteria
Exploring relevant use cases for your environment
Determining deployment specifications

2. Environment Setup

Based on your requirements, we:

Create your custom deployment URL
Configure your preferred cloud provider and region
Set up initial security parameters
Establish integration endpoints

3. User Access

Once deployment is complete:

Team members receive email invitations
Roles are assigned based on your specifications
Access credentials are securely distributed

Tip

Please check your spam folder if you don't see the invite.

See our onboarding page for a more detailed view of what to expect during onboarding!

Signing In

Qualytics supports two authentication methods:

Method 1: Direct Credentials

Ideal for:

Initial platform evaluation
Proof of Concept (POC) phases
Environments without SSO integration

sign-in

Method 2: Enterprise SSO

For production deployments:

Integrates with your organization's Identity Provider
Supports standard SSO protocols
Provides seamless access management

sign-in

Getting Started Checklist

To begin using Qualytics, you'll complete these key steps:

Connect Your First Datastore
Run Initial Profile Operation
Review Generated Quality Checks
Configure Monitoring & Alerts

Let's walk through each step in detail.

Understanding Datastores

In Qualytics, a Datastore represents your data source connection. Qualytics supports any Apache Spark-compatible data source, including:

JDBC Datastores

Traditional relational databases (RDBMS)
Data warehouses
Analytical databases

Distributed File System (DFS) Datastores

Cloud storage (AWS S3, Azure Blob, GCP)
Raw files (CSV, XLSX, JSON, Avro, Parquet)
Local file systems

Connecting Your First Datastore

Adding a Source Datastore

From the main menu, select "Add Source Datastore":
Select your datastore type
Provide connection details
Test connectivity
Configure an Enrichment Datastore (strongly recommended)

Warning

While optional, not configuring an Enrichment Datastore limits platform capabilities.

Enrichment Datastores

An Enrichment Datastore serves as the storage location for:

Anomaly detection results
Metadata and profiling information
Quality check outcomes
Historical analysis data

You can either:

Configure a new Enrichment Datastore
Select an existing one from the dropdown

Note

If you need a storage location, you can use our QFS (Qualytics File System) connector.

Core Operations

After connecting your datastore, three fundamental operations manage data quality:

1. Catalog Operation

The first step in understanding your data:

Systematically collects data structures
Analyzes existing metadata
Prepares for profiling and scanning
Runs automatically on datastore creation

catalog-operation

2. Profile Operation

The Profile operation performs deep analysis of your data:

Generates comprehensive metadata
Calculates statistical measures:
- Basic metrics (type, min/max, lengths)
- Advanced analytics (skewness, kurtosis, correlations)
- Value distributions and patterns
Automatically infers data quality rules
Uses machine learning for pattern detection