QOMPLX

BIG DATA MANAGEMENT

QOMPLX | July 09, 2021

QOMPLXTM is happy to announce the inclusion in TimeEngine, QOMPLX's pioneering multidimensional database and analysis engine for the intakes and storage of time series data at scale of the popular and powerful systems monitoring/alerting toolset Prometheus. Even when you gather and operate billions of data events a day, TimeEngine facilitates improved understandings for customers. Prometheus is an independent and well-received project with a very active developing and use comm...

techhq.com | January 13, 2020

Transporting one million commuters each day, 92 percent of Dutch Railways Nederlandse Spoorwegen’s (NS) trains arrive on time, making it the third-most punctual rail service in the world, behind Switzerland and Japan. While certain delays are unavoidable results of severe weather or obstructions on the line, for exampleNS owes its industry-leading scheduling to big data analytics, thanks to thousands of sensors on its locomotives. As reported in TNW, NS has been leveraging the power of pre...

healthcareitnews.com | January 13, 2020

Healthcare providers are failing to integrate digital data platforms into their IT infrastructure, and and analytics into their clinical and operational workflows. This despite widespread availability of the technology and a definite need for it, given the demands of value-based reimbursement.Those were among the findings of a Black Book survey of 748 providers organizations, which found utilization of advanced analytics was described as "negligible" by a whopping 80% of respondents.Me...

https://analyticsindiamag.com | January 14, 2020

AutoML or automated machine learning has witnessed an exponential rise when it comes to being adopted by the organisations. AutoML can be said as the next wave of machine learning which helps to bridge the gap between talent landscape and complex workflows. Previously in one of our articles, we had discussed the functionality of AutoML and how it solves data science problems. Building complex deep learning models from scratch can be said as one of the most time-consuming and challenging tasks in...