SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data quality tools for Oracle
Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Data Catalog is a metadata management service that helps organizations find and govern data using an organized inventory of data assets across the enterprise. With this self-service solution, data consumers can easily find, understand, govern, and track Oracle Cloud data assets.
| Commercial: | Commercial |
|---|---|
| Data cleansing: | - |
| Data Discovery & Search: | - |
| Data Profiling: |
|
| Data standarization: | - |
| Free edition: |
|
Data quality tools are the scripts that support the data quality processes and they heavily rely on identification, understanding, and correction of data errors. Data quality tool enhances the accuracy of the data and helps to ensure good data governance all across the data-driven cycle.
The common functions that each data quality tools must perform are:
• Data profiling
• Data monitoring
• Parsing
• Standardization
• Data enrichment
• Data cleansing
Choosing the right data quality tool is essential and impacts the final results. To help you with the right selection, we prepared a list of tools that will assist you with maintaining a high level of data quality.