Icon of program: Aggregate Profiler

Aggregate Profiler for Windows

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Editors’ Review

Download.com staff
Arrah Technology offers a robust data analysis platform for business management. It supports major databases and provides extensive features for data integration, quality, and reporting, ensuring efficient business intelligence operations.

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  • Pros

    • Supports MySQL, Oracle, Postgres, Access, Db2, SQL Server databases.
    • Provides certified Big Data support including HIVE format creation.
    • Extensive data quality: standardization, deduplication, address correction.
    • Comprehensive reporting: statistical analysis, ad hoc reports, analytics.
    • Features data generation, masking, and reverse engineering data models.

  • Cons

    No Cons available

Icon of program: Aggregate Profiler

Aggregate Profiler for Windows

Download now

Used Aggregate Profiler for Windows?

Explore More

Full Specifications

GENERAL
Release
Latest update
Version
6.0.5
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows XP
  • Windows 2000
  • Windows 10
  • Windows NT
  • Windows 7
  • Windows 98
Additional Requirements
Java Runtime Environment 1.7
POPULARITY
Total Downloads
2,031
Downloads Last Week
12
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Program available in other languages

Last Updated

User Reviews

3.5/5

4 User Votes

Developer’s Description

By Arrah Technology
Perform various data analysis methods for business management.
Features Mysql, Oracle,Postgres,Access,Db2,SQL Server certified Big data support - HIVE Format Creation, Format Matching ( Phone, Date, String and Number), Format standardization Fuzzy Logic based similarity check, Cardinailty check between tables and files Export and import from XML, XLS or CSV format, PDF export File Analysis, Regex search, Standardization, DB search Complete DB Scan, SQL interface, Data Dictionary, Schema Comparison Statistical Analysis, Reporting ( dimension and measure based), Ad Hoc reports and Analytics Pattern Matching , DeDuplication, Case matching, Basket Analysis, Distribution Chart Data generation and Data masking features Meta Data Information, Reverse engineering of Data Model Timeliness analysis , String length analysis Address Correction, Single View of Customer, Product, Golden merge for records Record Match, Linkage and Merge added based on fuzzy logic
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