CTOvision

OCTOBER 7, 2014

The paper captures design considerations for enterprise technologists that flow from the engineering work both Cloudera and Intel have been putting into both open source technologies and hardware design. Analysis Big Data Cloud Computing CTO Cyber Security DoD and IC Apache Hadoop Cloudera Data center Hadoop IBM Intel Intel Corporation'

Data Center 110

Data Center Technical Review Big Data Open Source 110

CIO

JULY 1, 2024

La scelta del modello ibrido, ovvero diviso tra server on-premises, che gestiscono i dati e i servizi critici, e data center proprietari, ma esterni alla sede centrale, dove vengono gestiti altri servizi aziendali e quelli per i clienti, si deve a motivi di sicurezza, come spiega il CTO di Intred, Alessandro Ballestriero.

Artificial Inteligence 154

Artificial Inteligence Cloud Trends Data Center 154

CIO

AUGUST 29, 2022

Data centers: When considering a move to the cloud , choose a green cloud provider that has a sustainability strategy that reduces the environmental impact of their data centers. Data: Use data to share information around sustainability efforts.

Sustainability 146

Sustainability Enterprise Artificial Inteligence Google Cloud 146

CIO

OCTOBER 16, 2023

Arcane manufacturer-specific interfaces and outdated control hardware are the norm. At Huawei’s cloud data center in Langfang, the AI-based iCooling solution automatically optimizes energy efficiency, reducing the Power Usage Effectiveness (PUE) by 8% to 15%.

Strategy 200

Strategy Mobile Artificial Intelligence Artificial Inteligence 200

CIO

FEBRUARY 5, 2024

Database-level performance issues with legacy hardware are addressed, ensuring optimal performance for critical financial applications. We are looking to make significant advancements in Big Data, General AI, AI, and Machine Learning (ML) to further personalize customer interactions.

Banking 179

Banking Artificial Inteligence Blockchain Scalability 179

CTOvision

AUGUST 14, 2014

Big data analytics and data from wearable computing offer potential to improve monitoring and treatment of Parkinson’s disease. The Intel-built big data analytics platform combines hardware and software technologies to provide researchers with a way to more accurately measure progression of disease symptoms.

Technology 115

Technology Big Data Study Research 115

CTOvision

AUGUST 16, 2013

Anthony spelled out how much money can be saved in hardware, software and people by modernization. Lloyd underscored the importance of improving IT architecture to support today’s challenges and discussed a vision for data center networking. Big Data Cloud Computing Communications CTO DoD and IC Events Infrastructure'

Video 89

Video Data Center Big Data Infrastructure 89

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Intelligence 120

The Accidental Successful CIO

JULY 20, 2016

The company sent an email out that announced that in a month they planned on shutting down their very last operational data center. Netflix made the decision to move all of their IT operations into the cloud after the company experienced a major hardware failure back in 2008. How Netflix Moved To The Cloud. How did they do it?

Data Center 49

Data Center Data Cloud Video 49

CTOvision

OCTOBER 15, 2015

He has 15 years of experience in training and simulation software development followed by 14 years of hardware development, 9 of which were in high performance computing with IBM System x Intelligent Clusters. This event is brought to you by Bright Computing.

Cloud 111

Cloud Marketing Data Center Fractional CTO 111

Kentik

MARCH 13, 2018

Hyperscale data centers are true marvels of the age of analytics, enabling a new era of cloud-scale computing that leverages Big Data, machine learning, cognitive computing and artificial intelligence. the compute capacity of these data centers is staggering.

Data Center 40

Data Center Artificial Inteligence Data Load Balancer 40

Cloudera

AUGUST 11, 2021

For one example, Cloudera’s enterprise data cloud is a platform designed specifically for improving control, connectivity, and data flow inside a data center in addition to public, private and hybrid clouds. This is even more evident with big data.

Systems Review 121

Systems Review Storage Software Review Enterprise 121

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects.

Data 101

Data Storage Architecture Big Data 101

Kaseya

MAY 13, 2021

In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

RapidValue

DECEMBER 14, 2020

As part of their IT Transformation journey, organizations are vouching for the migration of their mission critical IT workloads on the cloud to address the business demands of faster compute performance and scalable resources, irrespective of traditional data-center infrastructure that limits these capabilities. Conclusion.

Cloud 98

Cloud Data Center Scalability Enterprise 98

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

CIO

SEPTEMBER 2, 2024

Ora che l’ intelligenza artificiale è diventata una sorta di mantra aziendale, anche la valorizzazione dei Big Data entra nella sfera di applicazione del machine learning e della GenAI. Il data center di Milano effettua anche l’analisi dei dati, tramite Power BI di Microsoft.

Artificial Inteligence 173

Artificial Inteligence Azure Machine Learning Generative AI 173

CTOvision

JUNE 12, 2016

Bright Cluster Manager™, Bright Cluster Manager for Big Data™, and Bright OpenStack™ provide a unified, hardware-agnostic approach to installing, provisioning, configuring, managing, and monitoring HPC clusters, big data clusters, and OpenStack clouds.

eBook 62

eBook Cloud Pharmaceuticals Big Data 62

CIO

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Data 97

Data Scalability Storage Big Data 97

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. Virtualization: Virtualization optimizes the usage of hardware resources through virtual machines.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Presidio

JUNE 4, 2018

As everyone in IT knows, the demands on the data center (DC) keep growing – and there doesn’t seem to be an end in sight. Today’s data center has to accommodate cloud native applications, machine learning, VDI, digital workspaces, SaaS applications, and others. hardware devices and Virtual TPM 2.0.

Cloud 54

Cloud Data Center Hardware Machine Learning 54

RapidValue

APRIL 20, 2020

Traditional load balancing solutions believe in proprietary hardware housed during a data center, and need a team of sophisticated IT personnel to put in, tune, and maintain the system. Only large companies with big IT budgets can reap the advantages of improved performance and reliability. Fortunately, software?based

Load Balancer 80

Load Balancer Resources Cloud Performance 80

Altexsoft

JUNE 2, 2020

Data centers. AI can monitor and optimize critical data center processes like power consumption, backup power, internal temperatures, bandwidth usage, and cooling filters. AI provides insights into what values can improve the security and effectiveness of data center infrastructure.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

Altexsoft

JANUARY 22, 2020

A data stream is a constant flow of data, which updates with high frequency and loses its relevance in a short period of time. For example, these could be transactional data, information from IoT devices, hardware sensors, etc. As data streams have no beginning or end, they can’t be broken into batches.

Analytics 20

Analytics Data IoT Analysis 20

CTOvision

MARCH 25, 2016

Right, so I think it will play very effectively for large enterprises as well as small enterprises, because if you look at the hurdles to the adoption of HPC you know some will talk about the price in getting in from a hardware perspective. The Data Center Cloud Built (datacenterknowledge.com). Watch the video here.

Video 60

Video Data Center Hardware Big Data 60

Kentik

JULY 11, 2016

Data Centers Need Big Data Network Analytics, But as SaaS. The announcement is significant for Cisco in part because it creates expectations of data center functionality to which competitors such as HP and Dell/EMC will likely have to respond.

Data Center 40

Data Center Big Data Hardware Analytics 40

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. Here are some common features and scenarios that cloud network operators should consider.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Cloudera

JUNE 6, 2019

To address the increased demand, the admin adds more hardware capacity to the shared cluster. There are new challenges that cannot be sufficiently addressed by simply adding more hardware. Lakshmi Randall is Director of Product Marketing at Cloudera, the enterprise data cloud company. Conclusion and future work.

Virtualization 86

Virtualization Policies Storage Network 86

Kentik

JULY 5, 2016

Tetration Announcement Validates Big Data Direction. Because while Cisco didn’t start this party, they are a big name on the guest list and their presence means that IT and network leaders can no longer ignore the need for Big Data intelligence. Bullish on Big Data. Compelling Business Case.

Analytics 40

Analytics Big Data Data Center WAN 40

The Accidental Successful CIO

JULY 27, 2016

They started out like everyone else going to the big hardware vendors and purchasing high-end equipment from them. The choice that Google made then was to go out and build the network hardware that they needed. Let’s face it – Google currently runs some of the largest data centers in the world.

Off-The-Shelf 49

Off-The-Shelf Network Data Center Hardware 49

O'Reilly Media - Ideas

APRIL 13, 2023

Serverless APIs are the culmination of the cloud commoditizing the old hardware-based paradigm. This means making the hardware supply chain into a commodity if you make PCs, making PCs into commodities if you sell operating systems, and making servers a commodity by promoting serverless function execution if you sell cloud.

Technical Review 145

Technical Review Authentication Storage Serverless 145

Nutanix

APRIL 8, 2013

Most big data center players still cling to the hardware-based models of yore. But the growing ubiquity of the hypervisor as the new data center O/S means that software-defined technologies will increasingly challenge the status quo.

Data Center 20

Data Center Software Data Hardware 20

Nutanix

NOVEMBER 7, 2019

Most big data center players still cling to the hardware-based models of yore. But the growing ubiquity of the hypervisor as the new data center O/S means that software-defined technologies will increasingly challenge the status quo.

Data Center 20

Data Center Software Data Hardware 20

Nutanix

OCTOBER 17, 2019

Most big data center players still cling to the hardware-based models of yore. But the growing ubiquity of the hypervisor as the new data center O/S means that software-defined technologies will increasingly challenge the status quo.

Data Center 20

Data Center Software Data Hardware 20

Nutanix

SEPTEMBER 1, 2019

Most big data center players still cling to the hardware-based models of yore. But the growing ubiquity of the hypervisor as the new data center O/S means that software-defined technologies will increasingly challenge the status quo.

Data Center 20

Data Center Software Data Hardware 20

Nutanix

JULY 12, 2019

Most big data center players still cling to the hardware-based models of yore. But the growing ubiquity of the hypervisor as the new data center O/S means that software-defined technologies will increasingly challenge the status quo.

Data Center 20

Data Center Software Data Hardware 20

Hu's Place - HitachiVantara

JUNE 4, 2018

With the explosion of data and the increasing demands on that data, data centers must focus more on the data and the information that can be derived from it than the storage infrastructure that supports it. Storage infrastructure workloads can be reduced through a shared services or a managed services approach.

Storage 49

Storage Infrastructure Agile Data Center 49