Our products covers different section of market. spannig from aviation to power industry. we solve hardest problem they face.
On leggoApp platform Each application will be abstracted like a Lego piece which makes it easy to use for users and easy to re-use for developers. Applications abstract the distributed computing and data processing tasks and provides machine learning algorithm for data scientists and extracts the desired information. Here LeggoApp will be connected to the outside world. Extracted or crunched data, prediction result, etc. would be exposed through lightweight services for other applications (like web or mobile apps), visualized directly or act as an input for another LeggoApp. Each LeggoApp can be deployed in distributed systems and provide data and process availability, reliability and scalability as well as being connected to other services for fetching data.Learn More
The reality is most of big data projects will fail to make it into production. Because deploying and developing big data is expensive and need expertise in complex frameworks and lot of data wrangling to solve compatibility issue to migrate data from existing infrastructure to big data back end in order to make the data Analytics-Ready. To address this issue we have developed our platform to provide easy interfaces such as SQL (every programmer knows), Google-Like search, convenient BI: Tableau, Qlickvew, Microstrategy and etc to solve compatibility issue. This leads to decreasing cost of migration to minimum and cancelling risk of data conversion. Moreover, our platform Supports Oracle, Microsoft, PostgreSQL, Excel, JSON, CSV, Log files, Network packets and many more data inputs!Learn More
Businesses today face new and critically different challenges in maintaining their competitive advantage and growing profitably. To address these challenges, the data from every part of the business is being considered. This consideration requires systems and tools that can deal with large volume of data, a significant variety of data in terms of different forms of data, a great degree of veracity of uncertainty of data and also the velocity or torrent of real time data. Note that all of these characteristics become significant challenges since the data is either unstructured or semi-structured which prevents the traditional relational database management systems (RDBMS) to address them. These four factors come together to create what is now known as the Big Data challenge!Learn More