CIO

JULY 18, 2022

Given the current regulatory climate, some data must remain on-premises or be tied to specific systems. This puts the burden on companies to execute an approach that balances the need for frictionless visibility and secure access without infringing on compliance requirements.

Data 171

Data Disaster Recovery Backup Systems Review 171

Crunchbase News

MAY 2, 2024

The Asheville, North Carolina-based solar and energy storage product developer plans to use the new cash to help finance the creation of three gigawatts of clean energy infrastructure in communities across the United States by next year. The company develops power-optimized chips targeting the data analytics and generative AI markets.

Biotech 107

Biotech Generative AI Blockchain Energy 107

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Apiumhub

MARCH 12, 2024

Rather than relying solely on centralized data centers, edge computing distributes computational processes closer to the source of data generation. Implementation: Leveraging hardware-based security features like Intel Software Guard Extensions (SGX) to create secure enclaves for confidential data processing.

Trends 52

Trends Innovation Cloud Serverless 52

Datavail

JANUARY 11, 2024

By leveraging the ability to only pay for the resources you utilize, you can reduce costs related to infrastructure, hardware installation and maintenance, data center expenses, and much more. This includes access management, compliance with regulatory standards, network security, and more.

AWS 74

AWS Disaster Recovery Artificial Inteligence Scalability 74

Cloudera

MARCH 29, 2022

To capitalize on the opportunities that data creates for the public good, state and local CIOs must harness data in motion with a cohesive strategy and platform. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy. How does hybrid cloud help turn data into a strategic asset?

Government 96

Government Cloud Data Artificial Inteligence 96

Capgemini

MAY 20, 2020

The e merging need to deploy data-centered decision is an opportunity to accelerate modernization initiatives with current cloud technology. . These legacy data platforms inhibit their ability to innovate and optimize cost to reinvest in growth and transformation journey s. .

Infrastructure 64

Infrastructure Data Retail Analytics 64

Xebia

JANUARY 19, 2023

That means the data engineering lifecycle comprises stages that turn raw data into a useful end product. A data engineer should understand the needs of the business and translate those to design new ways to capture and serve data while balancing costs and simplicity. Lastly, do not forget to back up your data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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

OTS Solutions

JUNE 16, 2023

App modernization can enhance security and compliance for businesses. Legacy systems are often more vulnerable to cyber-attacks and data breaches, which can result in a loss of revenue, damage to reputation, and legal liabilities. Once the test plan is created, the next step is to carry out the testing process.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. Data and analytics. Cloud migration and modernization.

Azure 52

Azure AWS Cloud How To 52

OTS Solutions

JUNE 16, 2023

Finally, app modernization can enhance security and compliance for businesses. Legacy systems are often more vulnerable to cyber-attacks and data breaches, which can result in a loss of revenue, damage to reputation, and legal liabilities. Once the test plan is created, the next step is to carry out the testing process.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

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. Decoupled Storage and Compute. Compute needs are variable based on your business activities.

Cloud 40

Cloud Data Storage Analytics 40

Altexsoft

OCTOBER 24, 2022

It involves delivering, optimizing, and tuning workloads and IT services running across various environments, such as hybrid cloud, multi-cloud, on-premise data center, and at the edge. CloudOps relies on analytics to achieve visibility into cloud environments. The Pillars of Cloud Operations. Abstraction.

Organization 40

Organization Disaster Recovery DevOps Artificial Inteligence 40

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. We are all thrilled to welcome them to our own team of talented professionals.

Cloud 78

Cloud Google Cloud Azure AWS 78

Hypergrid

NOVEMBER 15, 2018

We also monitor the required metrics at a function level to ensure continuous compliance with AWS and organizational security best practices. Compliance Analysis and Remediation. Compliance analysis and remediation is difficult enough in traditional on-premise data center environments, let alone in the cloud.

Disaster Recovery 56

Disaster Recovery Cloud Lambda Azure 56

Datica

AUGUST 19, 2019

In their search for a low-cost way to provision the complex IT infrastructure and HIPAA-compliant applications, storage, and networking solutions needed to support a variety of core organizational functions, more and more healthcare providers are turning to the cloud. Analytics-as-a-service (AaaS). Ease of data migration.

Healthcare 11

Healthcare Compliance Systems Review Software Review 11

CIO

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late. So we’re no closer.” “All

Technical Advisors 264

Technical Advisors Cloud Technical Review AWS 264

CIO

DECEMBER 20, 2022

The benefits of hybrid multicloud in healthcare When it comes to cloud adoption, the healthcare industry has been slow to relinquish the traditional on-premises data center due to strict regulatory and security requirements and concerns around interoperability and data integration.

Healthcare 306

Healthcare Disaster Recovery Organization Artificial Inteligence 306

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

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. But, What Happened to Hadoop?

Artificial Inteligence 91

Artificial Inteligence Technical Review Big Data Machine Learning 91

Hu's Place - HitachiVantara

APRIL 12, 2018

Digital transformation revolves around our ability to modernize our data center because that is where our data resides. The data center is no longer a physical location. It extends beyond the walls of the enterprise, to the cloud, and to the edge where new data is being generated and analyzed.

Data Center 40

Data Center Storage Data Compliance 40

Palo Alto Networks

JANUARY 13, 2020

Yet despite 13 years elapsing, companies continue to struggle when it comes to security and compliance in public cloud platforms including Azure, Google, AWS and Alibaba. Why do cloud security and compliance seem so hard? Consider the feature release cycle in a typical on-prem data center vs. Google, Azure and AWS.

Cloud 12

Cloud Compliance How To AWS 12

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.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

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

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management.

Cloud 111

Cloud Data Compliance Government 111

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy.

Government 86

Government Data Biotech Storage 86

OTS Solutions

FEBRUARY 16, 2023

Cloud computing can be defined as storing and accessing data over the internet and not on a personal computer. It is a shared pool that is made up of two words cloud and computing where cloud is a vast storage space and computing means the use of computers. These clouds can be of several types.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. Its CloudSpend tool will extract data from cloud spreadsheet bills and aggregate it to provide a useful, actionable level of understanding. Currently available for AWS and Azure.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

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

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Towards Data Science ).

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Cloudera

JUNE 25, 2019

This demo highlighted powerful capabilities like Adaptive Scaling, Cloud Bursting, and Intelligent Migration that make running data management, data warehousing, and machine learning across public clouds and enterprise data centers easier, faster and safer. Unsatisfied with the inflexibility of simple cloud analytics.

Enterprise 87

Enterprise Cloud Data Data Center 87

Existek

JANUARY 19, 2022

Cloud migration embraces a series of digital actions and events to transfer data, apps, databases, or storage to the cloud. For example, Airbnb managed to decrease storage costs by 27% after migrating to the cloud. . Security and compliance. The cloud offers stronger security than traditional data centers.

Strategy 52

Strategy Cloud Azure Google Cloud 52

d2iq

MARCH 30, 2022

In response to the explosive growth of Internet of Things (IoT) devices, organizations are embracing edge computing systems to better access and understand the enormous amount of data produced by these devices.As This also creates challenges for compliance-minded organizations that use a firewall as a safeguard for applications.

Network 86

Network Infrastructure IoT Firewall 86

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

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. Applications can burst out into a public cloud during peak periods.

Cloud 49

Cloud AWS Azure Data Center 49

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