Data Science Engineering Lab

Data Science Engineering Lab company information, Employees & Contact Information

Indigo DQM Data Management System represents the ultimate in professional and secure data management. With a significant range of expert capabilities included in an all-in-one solution all your data and reporting requirements are satisfied with this powerful software system. Featuring advanced query, processing and reporting capabilities our software is designed to maximise data assets, increase business value and intelligence. Working with Data, on or off the cloud, Indigo DQM's software platform is optimised for sensitive and secure handling of Data on both private and public networks offering far superior security and functionality to any cloud based solutions. Indigo DQM is an information and data reporting powerhouse and includes all the tools required for managing, querying and processing data as a valuable asset and resource. • Data Queries and Processing On Demand • Data Analysis, Extraction and Migration • Data Consolidation and Collection • Data Ingestion and Interchange • Data Transformation and Conversion • Data SQL, XPath, XQuery, XSLT and Python • Data Mapping, Filtering and Sorting • Data Manipulation and Modelling • Data Reporting and Document Generation • Data Reports in HTML, PDF, DocX and RSS • Data Web Scraping and Crawling • Data Backup, Restore and Data Migration • Data Execution Plans and Scheduling • Data Warehousing / Marts • Data Execution Log and Audit • Data Downloads and Feeds from the Internet • Data Automation and Scheduling • Data from multiple Sources and Types supported • Data Assets Stores for multiple Data Projects Indigo DQM can read, write, process, convert and translate data into many different formats and types allowing data to be compatible between different applications and databases. The ability to easily access and work with data no matter where it is located or what application created it makes Indigo DQM unique and opens up endless opportunities to different businesses using various data platforms.
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