What is clear is that HPE understands the need to support the deployment of large-scale machine learning solutions. BlueData makes it easier, faster, and more cost-effective to deploy Big Data analytics and machine learning – on-premises, in the cloud, or hybrid. Being able to operationalize run-time inference, other advanced analytics, and even large data volume movement and cleansing, in an efficient way is a necessity to moving past the early adopter phase. Registered in England and Wales. The goal is to eventually sell a turnkey big data solution customers can use in their own data centers, in the cloud, or in hybrid scenarios that mix both.In its six years of existence, Santa Clara, California-based BlueData has convinced numerous big-name enterprises to buy its technology. In the middle of writing a year-end article, one of my points was brought to the forefront by a recent email from The foundation of the BlueData solution is to provide containers, scheduling and surrounding infrastructure in order to accelerate deployment of AI, ML, and big data analytics. Number 8860726.Hewlett Packard Enterprise is buying BlueData, a startup built by former VMware engineers to make the way companies deploy infrastructure for data-intensive analytics and machine learning projects as easy as spinning up virtual servers in a public cloud.HPE expects to close the deal (whose terms it did not disclose) by the end of January and plans to integrate BlueData’s software platform with its data center hardware and software solutions. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. BlueData, founded in 2012, is a privately-held company headquartered in Santa Clara. Hewlett Packard Enterprise is buying BlueData, a startup whose software makes deploying infrastructure for big data and machine learning easier for enterprises
Its customer references include the likes of Citi, GlaxoSmithKline, Nasdaq, and Macy’s. He has worked in startups, mid-sized companies and global organizations.Opinions expressed by Forbes Contributors are their own. • HPE’s goal is to create a turnkey big data solution customers can use in their own data centers, in the cloud, or in hybrid scenarios As they were a startup, their documentation is focused on the details of doing so, but the business concept is just as important and is why HPE made the acquisition.The technologies for developing and deploying ML applications are still in their infancy. Previous work runs the gamut in software, including operations, development, field consulting, sales engineering and product marketing.
• While promising, big data projects have a notoriously high failure rate inside enterprises, often because of the level of technical complexity involved HPE Unveils Ezmeral, Its Answer to Tanzu and OpenShift, but With HardwareHPE Reports Declining Sales; Issues Cost-Cutting PlanHPE Goes After the Red-Hot VDI Market Stoked by PandemicNeed Cash?
HPE expects to close the deal (whose terms it did not disclose) by the end of January and plans to integrate BlueData’s software platform with its data center hardware and software solutions.
The goal is to eventually sell a turnkey big data solution customers can use in their own data centers, in the cloud, or in hybrid scenarios that mix both. In addition, the scaling of multiple instances in clusters is complex but also needs to be well managed.
This brief demo provides an overview of the container-based BlueData EPIC software platform from Hewlett Packard Enterprise. Sell Your Data Center Gear to HPE and Lease It Back If they can effectively analyze all that data, goes the thinking, new efficiencies or entire new sources of revenue may emerge from the analysis.While promising, however, big data projects have a notoriously high failure rate inside enterprises, often because of the level of technical complexity involved. By combining BlueData with HPE’s strong brand, global reach, broad portfolio including the HPE Apollo Systems, and enterprise relationships, we can double down on our investment in R&D innovation and reinforce our technology differentiation for AI and Big Data Analytics infrastructure.