CIO

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Government 357

Government Data Technical Review Policies 357

CIO

OCTOBER 23, 2023

And the importance of energy efficiency for enterprise IT cannot be overstated. With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

Sustainability 306

Sustainability Data Center Technical Review Energy 306

CIO

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. It’s one tool looking out for the community and we really appreciate that.”.

System 164

System Enterprise Data Cloud 164

Cloudera

MARCH 5, 2024

But even with its rise, AI is still a struggle for some enterprises. AI, and any analytics for that matter, are only as good as the data upon which they are based. This marks a significant milestone for the platform: according to IDC, today about half of the world’s enterprise production data under management is on-prem.

Data 86

Data Data Center Analytics Artificial Intelligence 86

Openxcell

OCTOBER 26, 2023

Introduction For businesses looking to revamp their digital assets holding capacity, enterprise data warehouses are great tools to get started with. Modern EDWs help these enterprises achieve data consistency, efficiency, and scalability. What is an Enterprise Data Warehouse? Let’s have a look at EDWs in detail.

Enterprise 52

Enterprise Data Technical Review Analytics 52

Datavail

NOVEMBER 17, 2021

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. Have you updated your systems to support applications and tools that can scale as you move from SMB to midmarket to enterprise?

Case Study 97

Case Study Analytics Study Architecture 97

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

Big Data 52

Big Data Analytics Tools Data 52

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

FEBRUARY 13, 2023

Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

FEBRUARY 14, 2023

AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. A cloud-native approach with Kubernetes and containers brings scalability and speed with increased reliability to data and AI the same way it does for microservices.

Artificial Inteligence 285

Artificial Inteligence Strategy Data Machine Learning 285

CIO

JULY 18, 2022

Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP). Organizations must have seamless visibility and secure access to data wherever it might reside, whether on-premises or in the cloud.

Data 197

Data Disaster Recovery Backup Systems Review 197

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

NOVEMBER 29, 2022

C-suite leaders must have confidence in the data they have on hand to fuel business processes, deliver customer and employee experiences, and improve their operational analytics and insights. IDC forecasts that global spending on digital transformation will reach $2.8

Government 237

Government Data Compliance Malware 237

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

KitelyTech

FEBRUARY 15, 2023

Here is a comprehensive overview of the three cloud platforms , highlighting their benefits and drawbacks, so you can decide which is best for your particular enterprise. It is a platform where users can access applications, storage, and other computing services from the cloud, rather than their own device.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

IDC

DECEMBER 9, 2019

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Increased device density drops the $/GB cost of that storage.

Storage 52

Storage Systems Review Software Review Technical Review 52

TechCrunch

OCTOBER 7, 2021

Today a startup that’s built a scalable platform to manage that is announcing a big round of funding to continue its own scaling journey. The underlying large-scale metrics storage technology they built was eventually open sourced as M3.

Cloud 209

Cloud Sport Open Source Machine Learning 209

Infinidat

NOVEMBER 2, 2023

Infinidat Gains Ground with Veeam and Kasten by Veeam to Advance VMware Environments and Container-based Workloads Adriana Andronescu Thu, 11/02/2023 - 07:52 The tight integration of Veeam and Kasten by Veeam modern data protection solutions and Infinidat enterprise storage solutions has been put to the test – often in several virtual events.

Disaster Recovery 65

Disaster Recovery Backup Storage Enterprise 65

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Hu's Place - HitachiVantara

JULY 16, 2019

Real time 5G IoT applications will require systems sitting on the edge, processing data and connected to backend repositories in the enterprise or cloud. This requires two types of storage systems, one for the edge and one for the backend repositories. In my previous post I described what Telefonica calls their 5G Storage use case.

Storage 49

Storage Data IoT Wireless 49

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. It’s one tool looking out for the community and we really appreciate that.”

System 98

System Enterprise Data Cloud 98

CIO

JANUARY 5, 2023

A September 2021 Gartner report predicted that by 2025, 70% of new applications developed by enterprises will use low-code or no-code technologies, up from less than 25% in 2020. When an experiment succeeds and needs to scale is when it’s time to think about rewriting it,” he says, but in a more traditional yet scalable language.

Software Review 319

Software Review Tools Off-The-Shelf Technical Review 319

CIO

JANUARY 22, 2024

First was expediting a final push to move all remaining servers into the cloud for scalability, stability, and security. To stay ahead of any issues that come with scaling the business, Baymiller’s approach is to be nimble, and build for enterprise use — one division at a time. “We

Technical Review 228

Technical Review Systems Review Technical Advisors Strategy 228

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

The Crazy Programmer

SEPTEMBER 25, 2021

It shared-nothing architecture, which distributes a database across many, networked Db2 servers for scalability. Db2 Enterprise includes a feature, which is currently known as the Database Partitioning Feature. It provides autonomous storage and computes scaling, as well as rolling security upgrades. DB2 Product Package Tools.

Disaster Recovery 113

Disaster Recovery Backup Linux Storage 113

CIO

APRIL 24, 2023

In addition, UC Riverside IT is aligning its data to be accessed from Looker, Google’s enterprise BI and analytics platform, though which UCR will be deploying its Oracle Finance application for scaled reporting. Empowering research in the cloud But the university’s evolving research hub is the crown jewel of the cloud migration. “We

Research 130

Research Cloud Fractional CTO Data Center 130

Xebia

JANUARY 19, 2023

The authors divide the data engineer lifecycle into five stages: Generation Storage Ingestion Transformation Serving Data The field is moving up the value chain, incorporating traditional enterprise practices like data management and cost optimization and new practices like DataOps. Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Datavail

AUGUST 3, 2021

2) Scalability. In addition, with Azure infrastructure flexibility you will always have the storage and compute resources you need, including Azure Disk Storage which offers secure, persistent, and cost-friendly SSD options that can support any and all of your Oracle applications. 5) Analytics & Insights.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

Perficient

DECEMBER 12, 2022

Content storage in itself will depend on your organization’s subscription license type. The Pro license gives you a maximum dataset size of 1GB and maximum storage of 10GB per user. Power BI Premium is the most common type of organizational subscription, which is a capacity-based license.

Organization 64

Organization Storage Analytics Report 64

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

MAY 3, 2023

With nearly 140 employees, the high-performance data center provides government agencies with mission-critical compute, storage, and networking solutions needed to provide important services to citizens. Our teams are driven, enterprising and a bit headstrong,” adds Jansma. ODC-Noord’s agile teams are comprised of skilled personnel.

Data Center 130

Data Center Government Development Team Review Systems Review 130

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. The use of Cloudera Enterprise enables staff to focus on aviation and business challenges instead of worrying about monitoring the cluster or platform upgrades.

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

Datavail

JANUARY 11, 2024

However, as your business grows and demands more flexibility and scalability, you may consider migrating your Oracle EBS to the cloud. Amazon Web Services (AWS) is a notable cloud platform that can provide your business with various tools and services to help you host your enterprise applications, data, and overall infrastructure.

AWS 74

AWS Disaster Recovery Artificial Inteligence Scalability 74

Hu's Place - HitachiVantara

JUNE 20, 2019

On Tuesday, June18, HPE announced a new high end storage platform called Primera. HPE’s current storage product lines – Nimble and 3PAR - are mostly positioned as midrange to the low -end of the High-end. The only real difference in the low to high-end models is the packaging for scalability.

Storage 40

Storage CTO Coach Hardware Operating System 40