Kaseya

NOVEMBER 9, 2023

Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management. It promotes accessibility, collaboration and scalability, allowing organizations to quickly get up and running with an app at minimal upfront cost.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Datavail

AUGUST 3, 2021

2) Scalability. 3) Disaster Recovery. Reducing downtime and implementing effective disaster recovery is at the forefront of every IT manager’s mind. Regardless, the interface for Azure Backup and Azure Site Recovery makes it simple to define policies to natively protect, monitor, and manage enterprise workloads.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

CIO

DECEMBER 13, 2022

Here, I’ll give you an overview of Cassandra, along with a few reasons why this database might just be the right way to persist data at your organization and ensure your data and the apps that your developers build on it are infinitely scalable, secure, and fast. This quickly caught the eye of other rising web stars, like Netflix.

Disaster Recovery 144

Disaster Recovery Open Source Data Center Scalability 144

CIO

JULY 18, 2022

Access to a rich ISV ecosystem of applications and services can help enterprises unify and extract value from data wherever it resides and throughout its entire life cycle, whether that means delivering secure backup-and-recovery capabilities or serving up analytics capabilities aimed at improving both day-to-day and strategic decision-making.

Data 182

Data Disaster Recovery Backup Systems Review 182

OTS Solutions

DECEMBER 4, 2023

It provides all the benefits of a public cloud, such as scalability, virtualization, and self-service, but with enhanced security and control as it is operated on-premises or within a third-party data center. Private cloud architecture refers to the design and infrastructure of a cloud computing system dedicated solely to one organization.

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns. So what’s all the fuss about?

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Cloudera

AUGUST 31, 2020

Moreover, LLAP drastically reduces traditional Hive overhead when executing SQL, enabling near real time queries and ad-hoc analytics. Scalability is key as data volumes grow at SMG. The following graph shows how linear scalability in Hive LLAP was achieved as Queries per Second (QPS) were increased.

Analytics 64

Analytics Disaster Recovery Technical Advisors Cloud 64

The Crazy Programmer

SEPTEMBER 25, 2021

It shared-nothing architecture, which distributes a database across many, networked Db2 servers for scalability. On-premises data warehouse with built-in machine learning, massively parallel processing, and in-database analytics that is maintained by the client. Db2 Warehouse adapted as the volume and variety of data is increased.

Disaster Recovery 113

Disaster Recovery Backup Linux Storage 113

Infinidat

NOVEMBER 2, 2023

In early 2023, Infinidat expanded its strategic collaboration with Veeam, the leader in modern data protection, and Kasten by Veeam, the market leader in Kubernetes backup, disaster recovery and mobility. If a disaster strikes, the enterprise has the backup datasets and the primary datasets replicated to that secondary data site.

Disaster Recovery 64

Disaster Recovery Backup Storage Enterprise 64

Kaseya

MAY 13, 2021

A cloud service provider generally establishes public cloud platforms, manages private cloud platforms and/or offers on-demand cloud computing services such as: Infrastructure-as-a-Service (IaaS) Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Disaster Recovery-as-a-Service (DRaaS). Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Kentik

AUGUST 17, 2021

Kentik and Edgeworx : We have been offering joint solutions with Kentik for over four years, solving business issues associated with network observability, application performance, scalability, network planning and business transformation to the cloud. Network analytics. Disaster recovery solutions. Synthetic testing.

Disaster Recovery 52

Disaster Recovery Telecommunications Analytics Network 52

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. Capsule summary: Re-architect and migrate the mission-critical oracle database, which runs Vera code’s core software offering along with High availability and Disaster Recovery.

Cloud 52

Cloud Disaster Recovery Technical Review AWS 52

Openxcell

SEPTEMBER 11, 2023

Scalability: DaaS solutions provide scalability to existing infrastructure allowing optimal utilization of resources. Monitoring and analytics: DaaS systems frequently feature tools for monitoring and analytics that provide real-time insight into the functionality of applications and infrastructure.

DevOps 52

DevOps Disaster Recovery SDLC Continuous Delivery 52

Datavail

APRIL 6, 2021

The term XaaS (“anything as a service”) is shorthand for the proliferation of cloud services in recent years—everything from databases and artificial intelligence to unified communications and disaster recovery is now available from your choice of cloud provider. Oracle Analytics Cloud. Oracle ERP—Financials Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Cloudera

JULY 13, 2022

The service provides simple, easy-to-use, and feature-rich data movement capability to deliver data and metadata where it is needed, and has secure data backup and disaster recovery functionality. For example: You are using a CDH cluster as the disaster recovery (DR) cluster for HBase data. 6 TB of disks/node.

Disaster Recovery 89

Disaster Recovery Data Policies Azure 89

CloudSphere

JUNE 22, 2023

Scalability One of the remarkable advantages of cloud platforms is their inherent scalability. No more being tied to a specific physical location or device—the HR system is just a few clicks away, enabling seamless productivity on the go.

Systems Review 52

Systems Review System Cloud Disaster Recovery 52

OTS Solutions

SEPTEMBER 5, 2023

The cloud environment lends itself well to Agile management, as it enables easy scalability and flexibility, providing a perfect platform for collaboration, automation, and seamless integration of development, testing, deployment, and monitoring processes. It is crucial to evaluate the scalability and flexibility of the platform.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .

Data 107

Data Analytics Disaster Recovery Travel 107

Datavail

MAY 31, 2022

Since Cloud ERP brings homogeneity in data and has the ease to connect various systems, you can integrate data across the departments and run analytics with better drill-up and drill-down capabilities. Agile, Flexible, and Scalable. Effective Disaster Recovery and Backup. Anytime, Anywhere.

Disaster Recovery 52

Disaster Recovery Cloud Artificial Inteligence Backup 52

ProCal Tech

OCTOBER 2, 2022

Strengthened Resilience Multiple cloud configurations can also help protect important business applications and data by providing backup and recovery capabilities that provide business continuity in the event of an emergency, whether caused by a disk failure, power outage, or a natural disaster.

Cloud 52

Cloud Disaster Recovery Storage Telecommunications 52

Cloudera

MARCH 13, 2019

Data Heroes design modern data architectures that work across hybrid and multi-cloud, and solve complex data management and analytic use cases that span from the Edge to AI. . Tesco – Utilizing HDP and HDF to innovate, drive improvement, and increase efficiency for disaster recovery. Who are the Data Heroes?

Artificial Inteligence 69

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 69

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. It ensures seamless communication between the cloud and the user by providing real-time analytics for cloud computing.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Altexsoft

JANUARY 14, 2021

Summarized touches upon the fact the data is used for data analytics. It is a home for an OLAP (online analytical processing) server that converts data into a form more suitable for analysis and querying. Scalability opportunities. Support for data backup and recovery. Data warehouse architecture. Deployment scenarios.

Backup 115

Backup Azure Software Review Systems Review 115

Agile Engine

DECEMBER 19, 2023

Scalability concerns Not all low-code platforms can scale to handle high-traffic applications. Also, built-in analytics and reporting tools provide real-time insights into customer interactions, sales performance, and other key metrics. CRM involves numerous processes, from lead management to customer support.

Development 52

Development Disaster Recovery Software Development Applications 52

Infinidat

MARCH 31, 2023

The consideration spans over a dozen software industry categories, Infinidat is a member of the Data Management and Analytics category. Using millions of data points from deployments around the globe, AI-based analytics provide powerful insights to an organization’s data lifecycle. Intelligent software.

Software 52

Software Company Storage Disaster Recovery 52

Mobilunity

APRIL 29, 2024

Pros of Using Azure for Banking and Financial Apps Scalable Infrastructure. Integrated Analytics. Azure Machine Learning and Synapse Analytics are only a few tools for processing large datasets. Disaster Recovery. These technologies allow developers to build reliable, scalable, and functional apps quickly.

.Net 52

.Net Azure Banking Fintech 52

Strategy Driven

NOVEMBER 27, 2021

Modern contact centers of today provide everything from real-time analytics to artificial intelligence to help businesses support their customers and provide a personalized touch. There are lots of features you should look for when choosing contact center services, including the following: Call center analytics. Scalability.

Disaster Recovery 50

Disaster Recovery Artificial Intelligence Artificial Inteligence Technical Review 50

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. In this situation, a disaster recovery plan (DRP) can help.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Please apply here.

Disaster Recovery 49

Disaster Recovery Firewall Advertising Scalability 49

Cloudera

AUGUST 26, 2020

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform. Certified BI Analytical Partners. Pepperdata provides observability and continuous tuning for the big data analytics stack.

Data 82

Data Machine Learning Artificial Inteligence Disaster Recovery 82

Agile Engine

DECEMBER 19, 2023

Scalability concerns Not all low-code platforms can scale to handle high-traffic applications. Also, built-in analytics and reporting tools provide real-time insights into customer interactions, sales performance, and other key metrics. CRM involves numerous processes, from lead management to customer support.

UI/UX 52

UI/UX Development Disaster Recovery Software Development 52

Kaseya

DECEMBER 27, 2023

Data loss prevention This includes setting up two-factor authentication and using strong passwords in addition to having a solid disaster recovery plan. Round-the-clock monitoring, clubbed with machine learning and behavioral analytics, helps organizations contain threats before they become an actual breach.

Disaster Recovery 52

Disaster Recovery Malware Policies Backup 52

Apiumhub

MARCH 9, 2021

Any data architecture must be resilient, with high availability, disaster recovery, and backup/restore capabilities. Scalable data pipelines. Cloud allows on-demand scalability quickly and affordably. Strive for simplicity in data movement, data platforms, data assembly frameworks, and analytic platforms.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52

RapidValue

SEPTEMBER 9, 2019

Big Data Analytics. Big data analytics, thus, obtained from cloud computing, helps in extracting information to derive meaningful information. This capability enables high availability, speed, scalability and security for your environment at any time, any place. Disaster Recovery.

Disaster Recovery 20

Disaster Recovery Cloud Backup Big Data 20

CircleCI

SEPTEMBER 7, 2021

Examine your needs, such as scalability, and your expenses, such as overhead, when deciding if IaaS is right for you. Big data analytics. The cloud offers plenty of solutions for big data analytics. Data backup and disaster recovery. This makes disaster recovery fast and cost effective.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

PowerSchool

AUGUST 11, 2020

Multiple defenses in place, such as intrusion detection systems, multifactor authentication, and data backup and disaster recovery plans. It should be customizable to meet the needs of your individual district, and it should meet growing needs for customized assessment and analytics to better address learning gaps.

Systems Review 98

Systems Review System Disaster Recovery Backup 98