Danish technology company Teldware has issued a patent for innovative data warehousing software.
The new patent covers a method to store and maintain data where the data is arranged in a large number of small database tables.
Teldware says that the new method also reduces the complexity of adding data to warehouse. Under its patent, the company says, the ETL process (extract-transform-load) is simplified and becomes an ESL process instead (extract-split-load). The new patent also solves the problem of inconsistence between aggregated and non-aggregated data tables, as it says, thanks to a method of partitioning data and a technique to maintain redundant summary tables at the partition level.
Another feature covers a reduction of the computational resources required to maintain a representation of a source dataset in a target database.
All in all, the new technology has been designed to improve data retrieval and reduce resources and manpower.
Upon issuing a new patent, the company is now looking for new sales partners that will help accelerate route to market by having existing relationships with its target market. To this end, it has established an online sales recruitment platform called CommisionCrowd which helps connect professional independent sales rep with companies.
“Up until now it’s been very difficult to find with the right kind of sales agents, but CommissionCrowd will not only enable us to find suitable candidates with a knowledge of our market, but also allow us to manage our team efficiently,” says Eyjólfur Gislason, Founder of Teldware.
Also, Teldware expects increasing revenues as it hopes customers can benefit much more by scrapping ‘outdated technology’ and it sees a growing on-demand data access trend.
“Our technology is set to revolutionise the data warehouse industry by enabling a new category of applications where interactive query performance is no longer conditioned upon fitting the data into memory and where response time is decoupled from the size of the underlying data warehouse. In other words, we enable significantly faster, more reliable and consistent performance of front-end data access applications which save vast amounts of time and human resources,” adds Eyjólfur Gislason.