Deadline with legal implications Splitting company's data when merger was disolved Partitioning DBaaS between Silicon Valley e-commerce giants Background The separation of the two Silicon Valley tech giants has been announced, and the crucial tasks associated with the partition must be executed and completed within three months, marking the...
Lifting the Cloud
Lifting the Cloud Silicon Valley multinational technology company public cloud initiative Background Top researchers at a major tech company authored a whitepaper outlining a new kernel module designed to support a scalable multi-tenant network architecture for virtualized data centers. The plan was to integrate this technology into OpenStack in time...
Vision to reality
A data scientist program manager of a large Silicon Valley electronics equipment provider came up with a vision of creating an intelligent personnel profile search and recommendation service.
News about Our Technical Experience and Expertise in Building Data Acquisition Infrastructure
We are excited to share some news about our technical experience and expertise in building the infrastructure for data acquisition. At our company, we understand the importance of reliable and efficient data acquisition systems, and we are dedicated to providing top-notch solutions to our clients. With years of experience in...
AI/ML Project Makes Strides in Advancing Technology
In the ever-evolving landscape of technology, artificial intelligence (AI) and machine learning (ML) are at the forefront of innovation. One particular AI/ML project has been making waves in recent news, showcasing the immense potential of these technologies. The project, which remains unnamed, aims to push the boundaries of AI and...
Understanding the Basics of Cloud Computing
Cloud computing has revolutionized the way businesses store, manage, and process data. Its scalability, cost-efficiency, and increased accessibility make it an attractive option for businesses of all sizes. By leveraging cloud services, organizations can focus on their core competencies while leaving the technical aspects of data management to the experts.