by Srinivas Raghavan | Data, Data-Lake, Data-Warehouse
Background Organisations of all types – be it for-profit, not-for-profit, or Governmental – have all been shaken by the pandemic for over a year now. The need to be in constant touch with the end-users or customers, as well as the key service delivery agents or...
by Srinivas Raghavan | Data, Data Science, Data-Lake
Background The application of mathematical methods and computer science techniques coupled with statistical modelling on industrial data has been around for several decades. However, in their new avatars of Data science and Machine learning, they seem to have garnered...
by Srinivas Bandi | Data, Data-Lake, Data-Warehouse
Data Synchronisation, the term itself is self-explanatory, and it may mean something in an entirely different way; depending on the user. For an end user, it may mean keeping income and expenditure in sync. For a business user, it could mean having the same set of...
by Srinivas Bandi | Data, Data-Lake, Integration
Integration has become a key in today’s disruptive era. A lot of marketing content is revolving around integration platforms, especially iPaaS (Integration Platform-as-Service); a new methodology to overcome the problems of integration with applications and processes...
by Santosh Gadhave | Data, Data-Lake
Who likes poor data? Incorrect, incomplete and inconsistent data can give you horrific nightmares. This can be unsettling when important decisions of your organisation are affected and all your predictions and estimates go awry. To stay smart and ahead of the race,...
by Sheshukumar Guntuka | Data, Data-Lake, Integration
In the previous blog, we had an introduction to the newly emerging integration technology iPaaS, which is spreading its roots in all directions at a rapid rate. The iPaaS space is evolving and it has become capable enough to deliver the capabilities of existing...
