Concat Tables | Merge Datasets Across Rows or Columns—No Code Required

Merging data across sources is often a complex, error-prone task—especially when row counts, column types, or schema definitions don’t align. In most platforms, handling this requires SQL scripting or ETL logic.

Edilitics eliminates this friction with a governed, no-code Concat operation that supports multiple types of merging—across rows, columns, or both. With built-in schema validation and flexible duplicate handling, it’s designed for enterprise-grade data integration.

Why Concat Operations Matter

Combining datasets is central to most data workflows, but poor handling can lead to:

  • ❌ Misaligned joins (due to column or row mismatches)

  • ❌ Duplicate records that inflate aggregates

  • ❌ Dropped data because of type incompatibility

With Edilitics, users can perform complex merges without writing code. Each concat operation is:

  • ✅ Previewed in real-time

  • ✅ Validated for compatibility

  • ✅ Configurable for duplicate behavior

  • ✅ Executed across integrated databases

Concat Types Supported in Edilitics

TypeDescriptionValidation Rules
Vertical ConcatAppends rows from one table to anotherColumns in both tables must match in name and data type
Horizontal ConcatAdds columns from one table alongside anotherTables must have the same number of rows
Diagonal ConcatMerges both rows and columns for complex integrationsBoth tables must match in row count, column count, and types

How to Concat Tables in Edilitics

  1. Select the operation type

    Choose Vertical, Horizontal, or Diagonal from the Concat options.

  2. Choose tables to merge

    Select both tables (from the same or different databases) to be concatenated.

  3. Configure duplicate rules

    Decide how duplicates should be handled:

    • Keep First – Retain the first instance of a record

    • Keep Last – Retain the last instance of a record

    • Drop All – Remove all instances of duplicates entirely

  4. Perform Checks and Adjustments

    Edilitics automatically ensures:

    • Compatibility Check – Verifies column types, count, and structure

    • Column Mismatch Notification – Flags mismatches and allows adjustments (e.g., drop, rename)

  5. Preview and Execute

    Review merged previews, validate results, and run the operation securely.

Practical Use Cases for Concat

IndustryConcat TypeScenario
RetailVerticalMerge regional sales data for national-level reporting
HealthcareHorizontalCombine lab, admission, and prescription records into a single patient view
FinanceVerticalStack quarterly reports into an annual dataset
ManufacturingDiagonalIntegrate production and supply logs for full pipeline visibility
EducationVerticalCombine student results from multiple semesters

Manual Equivalent – SQL & Pandas Examples

Here’s how the same logic would be implemented manually.

SQL Example – Vertical Concat with Deduplication (Redshift)


-- Merge Q1 and Q2 tables, remove exact duplicates
SELECT DISTINCT * FROM (
SELECT * FROM sales_q1
UNION ALL
SELECT * FROM sales_q2
) combined;

To simulate “Keep Last” or “Drop All”, you'd need row-level tracking with ROW_NUMBER()—something Edilitics handles via dropdown.

Pandas Example – Horizontal Concat with Duplicate Handling


# Combine tables side by side
merged_df = pd.concat([df_dept1, df_dept2], axis=1)
# Drop duplicate rows based on a key
merged_df = merged_df.drop_duplicates(subset='patient_id', keep='first') # options: 'last', False (drop all)

Edilitics does all of this with real-time previews, dropdowns, and compatibility validation—no debugging required.

Reliable, Governed Integration

Every concat operation in Edilitics is designed for:

  • ✅ Schema-aware validation before execution

  • ✅ Clear duplicate control via dropdown

  • ✅ Real-time previewing of final structure

  • ✅ Cross-database support for federated datasets

By centralizing concat logic, Edilitics ensures your integrated data remains clean, consistent, and analysis-ready.

Merging tables shouldn’t require guesswork or complex joins. With Concat, Edilitics simplifies multi-table integration through governed vertical, horizontal, and diagonal merges—complete with compatibility checks and duplicate handling. Whether you’re stacking records or combining attributes, data consolidation is now secure, flexible, and just a few clicks away.

Next: Continue Structuring Your Dataset

After merging your datasets with Concat, you may want to:

Each of these operations complements Concat, helping you clean, structure, and prepare your merged data for deeper analysis.

Enterprise Support & Technical Assistance

For technical inquiries, implementation support, or enterprise-level assistance, our dedicated technical support team is available to ensure optimal deployment and utilization of Edilitics solutions. Please contact our enterprise support desk at support@edilitics.com. Our team of specialists will respond promptly to address your requirements.

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