Technetics Group

Qubole | July 08, 2020

Qubole, the open date lake company, today announced an enhanced integration with Informatica’s CLAIRE-powered Data Engineering Integration to help organizations overcome the challenges of managing and governing big data on cloud data lakes. With Qubole’s open data lake platform, customers can build intelligent data pipelines up to three times faster using Informatica’s zero-code visual design interface and process those data pipelines using Spark on Qubole. This reduces data in...

Engineering Tech

Peacock Engineering Ltd | February 10, 2023

On February 9, 2023, Peacock Engineering Ltd, a leading Enterprise Asset Management provider, announced a new data management solution, MX+ Data Studio, to assist clients in streamlining their data management strategies, saving time, reducing costs, and improving data reporting accuracy and compliance. Digital transformation continues to be one of the most critical investment areas for British firms, with studies indicating that organizations and enterprises across all industrie...

Engineering Tech, Construction

GRAITEC | February 15, 2023

GRAITEC, a worldwide BIM (Building Information Modeling) provider and software developer for structural engineers and architects, has partnered with Eagle Point Software, the creator of the Pinnacle Series e-learning system. Pinnacle Series is an e-learning solution for the AEC and manufacturing industries that include a comprehensive collection of videos, papers, and other manufacturing development tools that facilitate long-term staff training, digital transformation, and on-d...

Engineering Tech

Edge Impulse, | May 19, 2021

Edge Impulse, the world's leading development platform for machine learning (ML) on edge devices, announced today the completion of a $15 million Series A investment round led by Canaan Partners, with participation from Acrew Capital, Fika Ventures, Momenta Ventures, and Knollwood Investment Advisory. This funding will help the company achieve its goal of democratizing machine learning for millions of developers and engineers working on billions of edge devices. Due to power, ...