The data which is generated continuously in an incremental manner from different sources can be considered as the streaming data.
Axis Bank has been increasing its digital infrastructure investments to provide smart and secure digital banking solutions to its institutional and individual customers.
“Analytics wasn’t a very common term when I started, and it was tough to explain to people what I do for a living. That has changed, with analytics now becoming a coveted job.”
Today, many big data companies are founded on these open-source projects. But with scale comes cost.
Transparent Taxation Platform uses data analytics, artificial intelligence and machine learning (AI/ML) against tax fraud and tax evaders.
An increase in data analytics and data integration has made way for more specialized visual analytical tools. Typically files like excel spreadsheets are very good with analytics and visualization, but it has limitations like it can not handle big data, which is our main concern. On the other hand, specialised software leverages easy operation on both static and dynamic data, computational speed, self-service function, and interactive visualization facilitate users to pull up a report or dashboard or storyline and freely deep dive to granular levels of information.
Vaex is a Python library for Out-of-Core DataFrames and helps to load, visualize and explore big tabular datasets. It can aid in calculating statistical operations such as mean, sum, count, standard deviation etc., on an N-dimensional grid, up to a billion rows per second.
Studies show that inefficiencies in knowledge searching can adversely affect enterprise performance and productivity.
Data mesh marks an architectural and organisational shift in the way enterprises manage big data.
Techniques in AI/ML have made great advances and it is a great exploratory step. But for now, it has not matured enough to reach an inferential step.
The veracity of a popular claim – often attributed to Albert Einstein – that mankind…