Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Ivanti

JANUARY 25, 2023

This represents a fundamental change for many organizations, going beyond simply digitizing existing processes to creating new sources of revenue based on data, analytics, dynamic pricing and pay-per-use strategies – delivered over broadly interconnected data centers, public cloud services and edge platforms.

Software 97

Software Analytics Infrastructure Agile 97

Apiumhub

MARCH 12, 2024

Rather than relying solely on centralized data centers, edge computing distributes computational processes closer to the source of data generation. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

Xebia

JANUARY 19, 2023

The best data engineers view their responsibilities through business and technical lenses. DataOps aims to improve the release and quality of data products. . – Joe Reis and Matt Housley, Fundamentals of Data Engineering Principles of data engineering architecture: Choose common components wisely. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Apps Associates

MARCH 31, 2022

Not only has the cloud helped evolve their technology stack, but it’s helped to lower total cost of operations, better manage data and analytics, software development, and countless applications that enable today’s hybrid work environment. Retiring a data center is easier and quicker than you think.

AWS 52

AWS Data Center Cloud Technical Review 52

TechCrunch

OCTOBER 8, 2021

Testimonial: “[They have] a deep understanding of cloud technology and how to use that in combination with open source software to get us an infrastructure that is scalable but easy to understand and maintain. They have an invoicing tool so we don’t have to deal with international fees, exchange rates or international tax compliance.

Fractional CTO 236

Fractional CTO Software Review Software Technical Review 236

Openxcell

NOVEMBER 27, 2023

Data migration involves moving both data and analytics workloads. An organization can benefit from cloud migration in several ways, including cost savings, scalability, flexibility, reliability, improved collaboration, and reduced IT overhead.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. IT professionals should be sure to look for an object storage platform that integrates with intelligent data tiering and integration capabilities. However, simply migrating to any object store is not enough.

Storage 66

Storage Software Review Banking Technical Review 66

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics.

Data 51

Data Storage Analytics Insurance 51

Actian

FEBRUARY 5, 2020

Because a hybrid cloud data warehouse is hosted outside of your company’s physical data centers, you need to be confident that the solution you choose has the robust security features to safeguard your company’s data. Scalability. Actian Avalanche can scale to hundreds of users and hundreds of Terabytes of data.

Cloud 40

Cloud Data Storage Analytics 40

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Data and analytics. Internet of Things.

Azure 52

Azure AWS Cloud How To 52

CIO

DECEMBER 20, 2022

In this article, discover how HPE GreenLake for EHR can help healthcare organizations simplify and overcome common challenges to achieve a more cost-effective, scalable, and sustainable solution. Improved compliance across the hybrid cloud ecosystem. But as with many industries, the global pandemic served as a cloud accelerant.

Healthcare 306

Healthcare Disaster Recovery Organization Artificial Inteligence 306

Datica

AUGUST 19, 2019

This gives providers the ability to create a scalable, future-proof IT infrastructure for their operations. Analytics-as-a-service (AaaS). While the primary vendor may be HIPAA compliant, this compliance doesn’t necessarily extend to other collaborating vendors, leading to a product mix of HIPAA compliant and non-compliant tools.

Healthcare 11

Healthcare Compliance Systems Review Software Review 11

OTS Solutions

DECEMBER 4, 2023

As businesses strive to harness the benefits of cloud computing while addressing specific requirements and compliance regulations, private cloud architecture is a viable solution. It provides a highly secure and customizable environment that allows businesses to meet their specific requirements and maintain control over their data.

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Xebia

MAY 21, 2024

Many companies across various industries prioritize modernization in the cloud for several reasons, such as greater agility, scalability, reliability, and cost efficiency, enabling them to innovate faster and stay competitive in today’s rapidly evolving digital landscape.

AWS 130

AWS Strategy Serverless Microservices 130

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies. That’s today’s Cloudera.

Artificial Inteligence 92

Artificial Inteligence Technical Review Big Data Machine Learning 92

DataRobot

MARCH 10, 2022

These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. This type of growth has stressed legacy data management systems and makes it nearly impossible to implement a profitable data-centered solution.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

CIO

FEBRUARY 10, 2023

And, in his experience, the public cloud is “not quite” as infinitely horizontally scalable as many think — though only a handful of enterprises come even close to reaching the barrier, he says. Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud.

Technical Advisors 264

Technical Advisors Cloud Technical Review AWS 264

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. What do we mean by ‘true’ hybrid?

Cloud 99

Cloud Artificial Inteligence Data Center Artificial Intelligence 99

CIO

JULY 21, 2023

So as organizations face evolving challenges and digitally transform, they offer advantages to make complex business operations more efficient, including flexibility and scalability, as well as advanced automation, collaborative communication, analytics, security, and compliance features.

Technical Review 225

Technical Review Weak Development Team Transportation Development 225

CIO

DECEMBER 7, 2023

Putting your faith—and your budget—in the wrong place can result in substandard protection, increased operational overhead and costs, and compliance gaps. Lifting and shifting an enterprise application into the cloud does not guarantee the SaaS and PaaS benefits of performance, scalability, and elasticity necessary for a modern business.

Enterprise 236

Enterprise Disaster Recovery Authentication Budget 236

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. hybrid or public, multi-cloud) and advanced analytical frameworks (e.g., Deep Java Learning, Apache Spark 3.x,

Strategy 119

Strategy Development Data Analytics 119

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. The servers ensure an efficient allocation of computing resources to support diverse user needs.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Cloudera

JANUARY 22, 2019

Likewise, big companies whose business units are storing large volumes of data from separate systems in different formats, thus creating Big Data silos resulting in large datasets that must be integrated manually and consequently erode corporate Big Data investments, should care about Big Data Fabric. Source: Cloudera.

Big Data 44

Big Data Scalability Data Analytics 44

OverOps

APRIL 23, 2019

This was thanks to many concerns surrounding security, performance, compliance and costs. Many organizations committed themselves to move complete data center applications onto the public cloud. Higher Level of Control Over Big Data Analytics. Characteristics of the Hybrid Cloud. Cloud Bursting.

Cloud 189

Cloud Data Center Architecture AWS 189

Cloudera

AUGUST 30, 2022

Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Data quality issues deter trust and hinder accurate analytics. Disparate systems create issues with transparency and compliance. Towards Data Science ). Deploying modern data architectures.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

OTS Solutions

FEBRUARY 16, 2023

With public clouds, users can get a completely isolated virtual environment to complete their IT (Information Technology) needs. Advantages of Public cloud: It offers high scalability. Data security concerns are always there. Some of the private clouds are HP Data Centers, Ubuntu, Elastic-Private cloud, Microsoft, etc.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Kaseya

SEPTEMBER 14, 2022

Cloud migration refers to moving company data, applications and other IT resources from on-premises data centers and servers to the cloud. Companies use data management processes to connect systems running on traditional architecture that they may not want to expose to the cloud. Easy scalability. Multicloud.

Strategy 59

Strategy Cloud Software Review Technical Review 59

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . How can we mitigate security and compliance risk? .

Big Data 76

Big Data Data Center Cloud Open Source 76

d2iq

FEBRUARY 6, 2023

Computational workflows for CT, MRI, and ultrasound data leverage Docker and Kubernetes to orchestrate medical image workflows and connect to picture archiving and communications systems (PACs) or scale medical instrument applications. A similar report describes how Kubernetes can help reduce an organization's carbon footprint.

Blockchain 64

Blockchain Healthcare Artificial Inteligence Energy 64

Kentik

MAY 14, 2019

Regulations: Some make the move to meet compliance/regulatory requirements for international business. For example, you cannot use AWS CloudWatch to monitor GCP’s network statistics and/or your on-prem data centers. Powerful analytics: The tool must unlock powerful analytics and enable in-depth visibility.

Cloud 103

Cloud Azure How To AWS 103

Mobilunity

JUNE 30, 2021

Cloud migration refers to the process of moving tools (as well as data, workloads, applications, IT resources, etc.) Usually, it is the migration process from an on-premises data center or an old legacy infrastructure to the cloud, but it also can mean cloud to cloud migration. to the cloud infrastructure. Private cloud.

Cloud 52

Cloud Google Cloud Disaster Recovery Azure 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Apps Associates

DECEMBER 2, 2021

There are many reasons for adoption including the pay as you go model, the scalability and as well as speed and agility. Outcome Highlights: Reliable, resilient, scalable and secure connectivity solution that bridges the Enterprise class eCommerce solution with their ERP (Oracle E-Business / Vertex) environment. Capsule summary: .

Cloud 52

Cloud Disaster Recovery Technical Review AWS 52

Modus Create

NOVEMBER 2, 2020

More than a year ago, Atlassian made the decision to split their code base, and their products, into two distinct lines: Cloud and Data Center. While Data Center was initially seen as an extension of Server, it has now fully matured, and taken the place of its predecessor. Upgrade your Server products to Data Center.

Data Center 96

Data Center Software Review Cloud Technical Review 96