Data Science Society

Big Data Management

Qontigo | January 20, 2022

Qontigo, a leading provider of innovative risk, analytics, and index solutions, has partnered with RepRisk, an ESG data science pioneer and leader. Qontigo will allow solutions and access to RepRisk ESG risk data via Axioma portfolio analytics and risk models and develop indices under its STOXX family of brands as part of this new relationship. "We are excited to partner with Qontigo, a leader of investment technology solutions and indices, to enable enhanced ESG risk managem...

itweb | April 20, 2020

The proliferation of big data from a multitude of structured and unstructured sources makes it easy to gather vast quantities of information for use in advanced analytics, predictive marketing and robotic process automation. The challenge, of course, is that it is not always easy to determine if there are inaccuracies in such high-speed and high-volume data – and if the data that drives what you are doing is bad, then even the most sophisticated tools are essentially worthless.This is the ...

Business Intelligence, Big Data Management, Data Science

PureSoftware | December 13, 2022

PureSoftware, a global software products and services major announced its partnership with Databricks, a lakehouse company, excelling in enabling businesses to unify data and AI seamlessly to take data analytics potential to a new level. The Databricks Cloud Platform is designed for organizations that require an integrated view of data across multiple clouds and hybrid deployments, allowing businesses to make better decisions faster. As a Databricks system integration partner, Pur...

verdict.co | January 29, 2020

Big data, and its associated computing and storage needs, has had a significant impact on the data centre industry. The data centre, or bit barn, is an organisation’s brain. It takes in, stores, analyses, and disseminates all the data the organisation needs. As the amount of data generated has exploded in recent years, so data centres have been forced to evolve and grow. History of big data: before 1980, companies used mainframe computers to store and analyse data. Two key technologies wer...