WhereScape RED Features

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data.

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

Automatic creation and management of documents.

The software supports a wide variety of data sources and data warehouses that require automation.

Supports a template system, making it easier to set up configuration parameters.

View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs.

Software is able to alert the user in case of any errors.

Utilizes data to proactively identify IT issues.

Automates all parts of the Data Warehouse lifecycle - warehouse design, provision data sources.

Supports real-time data ingestions and updates in the cloud or on-premises.

Software delivers insights into data in order to identify gaps, risk within the data warehouse.

Supports no-code/low code development patterns.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Anticipates needs and offers suggestions without prompting