Kaseya

NOVEMBER 9, 2020

Backup and Disaster Recovery. If you are an IT professional, you know how important it is to backup your critical systems so that data can be recovered in the event of a system failure due to a natural disaster, bad update, malicious cyberattack or other issues. Conclusion. Conduct a security assessment of your organization.

Disaster Recovery 110

Disaster Recovery Backup Artificial Inteligence Technical Review 110

RapidValue

DECEMBER 7, 2020

With the addition of Oracle Analytics Cloud (OAC) , Oracle Cloud now has a PaaS solution that can manage all your data analytics requirements within one tool. It is a scalable, reliable, and secure cloud service with extensive analytics capabilities at a lower cost when compared to OBIEE. Migrating the Service.

Business Intelligence 72

Business Intelligence Analytics Cloud How To 72

The Kini Group

APRIL 3, 2017

One of the more unpleasant and disappointing aspects of big data is how often it’s rendered completely useless. The truth is that big data is useless without value-driving applications. You need analytics to make sense of everything. And analytics can never be a one-off project. Why did it happen?

Big Data 40

Big Data Analytics Data Technical Review 40

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. The customer leverages Cloudera’s multi-function analytics stack in CDP.

Cloud 132

Cloud Systems Review Technical Review Software Review 132

Apiumhub

DECEMBER 25, 2018

It’s a given that one should protect and secure their data, but it’s a completely different story when you’re analyzing information from your operational processes and using it to benefit your business. Let’s go ahead and take a look at what the benefits of operational analytics are. Benefits of Operational Analytics.

Analytics 45

Analytics Artificial Intelligence Artificial Inteligence Blockchain 45

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. Data scientists can also automate machine learning with the industry-leading H2O.ai’s AutoML Driverless AI on data managed by Cloudera.

Data 84

Data Artificial Inteligence Machine Learning Disaster Recovery 84

Kaseya

NOVEMBER 9, 2023

AI-as-a-Service (AIaaS) and Machine Learning-as-a-Service (MLaaS) : AIaaS and MLaaS empower organizations with access to artificial intelligence and machine learning capabilities, allowing them to leverage advanced analytics without any extensive in-house expertise.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Tenable

JANUARY 17, 2024

of the total patches, followed by Oracle Secure Backup at 55 patches, which accounted for 14.1% Severity Issues Patched CVEs Critical 37 17 High 192 67 Medium 141 91 Low 19 16 Total 389 191 Analysis This quarter, the Oracle Communications Applications product family contained the highest number of patches at 71, accounting for 18.3%

Backup 72

Backup Firewall Construction Authentication 72

Cloudera

AUGUST 11, 2021

These were single-point applications delivered via the internet from one data center to another — all private connections — and while this was pioneering tech, everything about them was brittle and unreliable. . Bandwidth was limited; heavy data loads took days or weeks to move from Point A to Point B. Reason No.

Systems Review 121

Systems Review Storage Software Review Enterprise 121

Tenable

JANUARY 22, 2025

Oracle Product Family Number of Patches Remote Exploit without Auth Oracle REST Data Services 85 59 Oracle Health Sciences Applications 39 4 Oracle Communications Applications 31 24 Oracle Graph Server and Client 28 15 Oracle Construction and Engineering 26 21 Oracle Analytics 23 14 Oracle Communications 22 18 Oracle Hospitality Applications 16 6 Oracle (..)

Blockchain 71

Blockchain Backup Construction Insurance 71

Datavail

JANUARY 13, 2020

Amazon Redshift is among the best solutions to consider for cost-effectively creating a cloud-based data warehouse. Redshift is a fully-managed big data warehousing product from Amazon Web Services (AWS), built specifically to cost-effectively collect and store up to one petabyte of data in the cloud. Log Analytics.

Data 10

Data AWS Big Data Storage 10

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

CTOvision

JUNE 3, 2014

Think about the implications of recording and analyzing behavior, and you’ll realize that any solution will require big data. This applies not only to people but to services – system-to-system, server-to-server, domain-to-domain, process-to-process, and any other combination thereof. The first thing to do to manage events is to plan!

Disaster Recovery 105

Disaster Recovery Enterprise Infrastructure Firewall 105

CIO

FEBRUARY 19, 2024

Il nuovo ruolo dell’IT: la business continuity Deligia ha costruito la sua strategia per la business continuity sulle fondamenta tecnologiche di big data , analytics, automazione e IA. Il primo passo di questa trasformazione è stato organizzativo.

Technical Review 148

Technical Review Software Review Disaster Recovery KPI 148

RapidValue

SEPTEMBER 16, 2019

Advanced technologies like Big Data and Mobility have known to have fueled stronger growth in the cloud computing industry. Using cloud analytics helps to improve your business. Highest cloud budget allocation for backup and disaster recovery. The process of using data container will become simpler.

Cloud 14

Cloud Disaster Recovery Big Data Technical Review 14

RapidValue

SEPTEMBER 9, 2019

Big Data Analytics. One of the major advantages offered by leveraging cloud computing is the ability to manage huge quantities of both structured and unstructured data in order to yield the benefit of extracting business value. Backing up data has always been an arduous and time-consuming task.

Disaster Recovery 20

Disaster Recovery Cloud Backup Big Data 20

Altexsoft

MAY 12, 2023

As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types. Unstructured data and big data Unstructured and big data are related concepts, but they aren’t the same. Data security and privacy. Hadoop, Apache Spark).

Examples 59

Examples Tools Data Artificial Inteligence 59

Altexsoft

JUNE 2, 2020

Additionally, tools like user and event behavior analytics (UEBA), when powered by AI, can analyze user behavior on servers and endpoints, and then detect anomalies that might indicate an unknown attack. Data centers. 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

Tenable

OCTOBER 18, 2023

Oracle Product Family Number of Patches Remote Exploit without Auth Oracle Construction and Engineering 103 49 Oracle TimesTen In-Memory Database 91 60 Oracle E-Business Suite 46 35 Oracle Insurance Applications 37 9 Oracle Enterprise Manager 16 11 Oracle JD Edwards 15 9 Oracle Database Server 10 2 Oracle Secure Backup 9 4 Oracle Essbase 6 3 Oracle (..)

Construction 60

Construction Backup Insurance Retail 60

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. These days, businesses use data to define their internal business objectives and metrics. Data Lakes offer agile analytics to measure you are continually evolving business. Data lakes really became the cornerstones of modern big data architecture.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

CircleCI

SEPTEMBER 7, 2021

Big data analytics. The cloud offers plenty of solutions for big data analytics. You can store and process your structured or unstructured data, with various tools for data warehousing, data lakes, as well as extract, transform, and load (ETL). Data backup and disaster recovery.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

IDC

DECEMBER 9, 2019

The ability to move large data sets quickly can be very important in backup and disaster recovery environments, both for quickly ingesting new backups and for speeding recovery.

Storage 52

Storage Systems Review Software Review Technical Review 52

IDC

DECEMBER 9, 2019

The ability to move large data sets quickly can be very important in backup and disaster recovery environments, both for quickly ingesting new backups and for speeding recovery.

Storage 10

Storage Systems Review Software Review Technical Review 10

Datica

SEPTEMBER 11, 2019

AWS Backup , for instance, makes it incredibly easy to automate and centralize the backup of data across all AWS services in the cloud and on-premise using the AWS Storage Gateway. EBS volumes are easy to replicate within Availability Zones and can be scaled to data volumes reaching petabytes. Cost: $0.13

Storage 11

Storage Cloud Backup Disaster Recovery 11

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. Keep in mind that the migrate procedure creates a backup table named “events__BACKUP__.” The name will change only in the Hive metastore.

Backup 70

Backup Data Engineering Engineering Data 70

Datavail

NOVEMBER 6, 2023

Known for its ability to handle massive amounts of data across multiple nodes with no single point of failure, Cassandra has become a popular choice for organizations dealing with big data and real-time applications. Analytics : DataStax Enterprise incorporates Apache Spark, a powerful analytics engine, into its distribution.

Open Source 58

Open Source Scalability Analytics Database Administration 58

Kentik

JANUARY 3, 2018

As IoT adoption in the enterprise continues to take shape, organizations are finding that the diverse capabilities represent another massive increase in the number of devices and the data volumes generated by these devices in enterprise networks. Key IoT Analytics Requirements. Kentik’s Scalable and Flexible IoT Analytics.

IoT 40

IoT Network Tools Big Data 40

Xicom

JUNE 3, 2019

Hevo is among the ETL tool list which is an allied cloud data integration platform for real time analytic that proffer companies analyze data from different scattered multiple sources in no time. It holds back for data analysis, data warehousing, and applications migration, and consolidation and data governance.

Tools 65

Tools Open Source Backup SOA 65

Hu's Place - HitachiVantara

JUNE 4, 2018

A storage service with automated tools for configuration management, analytics for optimization, and central management of copies, clones, replicas, and backup, can greatly reduce operations and personnel costs and improve efficiencies.

Storage 49

Storage Infrastructure Agile Data Center 49

Tenable

JULY 19, 2023

Oracle Product Family Number of Patches Remote Exploit without Authentication Oracle Construction and Engineering 147 115 Oracle TimesTen In-Memory Database 77 57 Oracle Enterprise Manager 60 40 Oracle Spatial Studio 40 30 Oracle Financial Services Applications 32 23 Oracle Insurance Applications 24 11 Oracle Siebel CRM 14 12 Oracle Policy Automation (..)

Construction 52

Construction Authentication Backup Insurance 52

OTS Solutions

NOVEMBER 26, 2023

Implementing proper data management and backup strategies is essential to ensure data availability and integrity across multiple clouds. For example, one provider may specialize in data storage and security, while another may excel in big data analytics.

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

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

Altexsoft

JUNE 20, 2019

Besides active data guard, partitioning, improved backup and recovery, Oracle suggests parallel upgrading to reduce downtime during database upgrades. To make data comparison and synchronization more effective, consider using DB Data Difftective. The data is distributed faster and equally, so there are no massive bulks.

Systems Review 85

Systems Review System Software Review Open Source 85

Existek

JANUARY 31, 2023

According to Microsoft, it is possible to add a new content database or attach an existing one to a web application using a backup file. To back up a SharePoint database, navigate to the SharePoint Central Administration website and select the “Backup and Restore” option under the “Farm Management” section.

Backup 52

Backup Software Review Systems Review Big Data 52

The Citus Data

MARCH 31, 2023

To put a number to it, either 12 (or 13) of the 37 talks—approximately ~32%—are about the Citus extension to Postgres. :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 84

Azure Open Source Virtualization Software Engineering 84

KitelyTech

AUGUST 18, 2023

Before, keeping all of its data on-sight could mean disaster for a company if there was a natural disaster. Now, cloud systems make it possible to store backups of important data far away in safer locations so that companies have much more security and redundancy in disasters. What is the Role of Cloud in Digital Transformation?

Company 52

Company Cloud Big Data Resources 52

Xicom

JANUARY 4, 2023

Top 10 Android app development trends 1) Artificial Intelligence 2) 5G Technology 3) Blockchain Technology 4) Augmented Reality and Virtual Reality 5) Internet of Things & Cloud 6) CyberSecurity 7) Wearables applications 8) Chatbots 9) Cross-platform development 10) Big Data Conclusion FAQs. 10) Big Data.

Trends 59

Trends Development Artificial Inteligence VR 59