Data Profiling Functional Layer

Get a deep statistical understanding about the type and quality of data in your data ecosystem

The software can improve the quality of data by evaluating the data the enterprise possesses. This statistical evaluation helps organizations create a detailed understanding of each data asset and the rules associated with it. It reveals discrepancies in the data, integrity issues and quality related issues, and isolates areas of improvement.

Modules:

Category Modules Description
Structured Data Metadata Crawler Profiles relational data sources and finds out undocumented metadata
Structured Data ID Profiler Profiles identifier columns and finds composite keys
Structured Data Relationship Profiler Discovers documented and undocumented relationships and analyzes them
Structured Data Subtable Profiler Creates subtables from a table and profiles them
Structured Data Timeseries Profiler Analyzes timeseries columns
Structured Data Subtype Finder Creates subtypes from database instances, schemas or tables
Structured Data Correlation Profiler Compares columns using Pearson’s Correlation Coefficient
File Data File Profiler Profiles files without loading them in the database
File Data Access File Profiler Profiles Microsoft Access files
File Data Excel File Profiler Profiles Excel files without loading them in the database
File Data XML File Profiler Loads XSD files and profiles XML data
File Data Cobol File Profiler Profiles Cobol files
File Data Web Trends Profiler Scans WebTrends generated files and profiles them
File Data Avro File Profiler Profiles Avro files
File Data Data Feed Profiler Analyzes data feeds and profile data from them
File Data LDAP Profiler Profiles files in LDAP directory
Big Data HDFS File Profiler Profiles files residing in Hadoop Distributed File System
Big Data Hive Profiler Profiles Hive columns and finds primary keys
Big Data Cassandra Profiler Profiling data in Cassandra databases

 

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