TM Forum

OCTOBER 27, 2022

Transparent and equal access to knowledge and incentives will encourage employees to maximize the value of data. Technology: the introduction and application of data intelligence platform that uses innovative technologies for business-driven analytics and decision-making will enable a ‘closed-loop’ for continuous improvement.

Architecture 130

Architecture Enterprise Enterprise Business Transformation 130

CTOvision

APRIL 9, 2015

You can download a white paper showing how this can be accomplished, complete with reference architecture, here. By placing these devices near the edge of your network, directly behind your security perimeter, it is possible to aggregate, triage, and process dozens of incoming data streams simultaneously. Related articles.

Big Data 150

Big Data Open Source Hardware Analysis 150

CIO Business Intelligence

MAY 24, 2022

Cloud data management can be defined as “the implementation of platforms and tools, policies and procedures that give organisations control of their business data, both in the cloud and in setups where data is stored or sourced in a combination of on-premises and cloud applications. Migrating legacy applications.

Cloud 89

Cloud Data Architecture Government 89

TM Forum

SEPTEMBER 20, 2021

The digital twin approach enables collaboration between partners involved in smart city planning, application development and construction, but there are challenges in implementing a digital twin-based smart city. Data about different aspects of city life are collected separately, often in incompatible formats by various city agencies.

Construction 130

Construction Agile Architecture Real Estate 130

Future of CIO

SEPTEMBER 4, 2013

Try to look at the organizational values or the architecture principles in general , and work outward from there. Considering that data and the structural quality thereof as a major corporate asset, the importance of data architecture is often overlooked, despite in many organizations data being the true business jewels.

Architecture 40

Architecture Data Strategy Groups 40

TM Forum

SEPTEMBER 12, 2022

The cloud-network operation system is an important part of the cloud-network convergence architecture, and it is also the key to unlocking the value of cloud-network convergence. It breaks the boundary between cloud and network, and promotes them from independent development to comprehensive integration.

Operating Systems 130

Operating Systems Network System Cloud 130

CTOvision

FEBRUARY 10, 2015

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value. Press release below from: [link].

System 150

System Data Big Data Open Source 150

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Government 142

Government Data Programming SAP 142

Linux Academy

APRIL 30, 2019

You learn the basic knowledge of computer hardware, gain an understanding of open-source applications in the workplace, and learn to navigate systems on a Linux desktop, as well as rudimentary commands to navigate the Linux command line. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 113

Linux Course Big Data Devops 113

CTOvision

JUNE 12, 2014

We’ve migrated to a userid-password society; as we’ve added layers of security, we password-protect each layer: PC (and now device), network, enclave, application, database, and storage (encryption). It’s much easier to use biometrics or a SmartCard to identify yourself to a system or application. Userids and passwords are almost free.

Security 249

Security Storage Network Mobile 249

Storage IO Blog

JANUARY 31, 2015

Having insight and awareness into how your environment along with applications is important to know to focus resources. Also keep in mind that a bit of flash SSD or DRAM cache in the applicable place can go along way while a lot of cache will also cost you cash.

Storage 40

Storage Big Data Virtualization Data Center 40

Linux Academy

MAY 28, 2019

Implement And Manage Application Services (Azure)- This course provides instructions on how to manage and maintain the infrastructure for the core web apps and services developers build and deploy. We will talk about how ECS is architected in order to provide a better understanding of how to manage container-based applications at scale.

Linux 104

Linux Course Big Data Devops 104

CTOvision

MARCH 13, 2015

It was acquired by IBM in 2008 and is now referred to as the IBM Cognos platform. A query layer with optimized query generation combined with multiple levels of in-memory caching provides enhanced performance for complex heterogeneous data. Big data interoperability. Extensibility.

Business Intelligence 150

Business Intelligence IBM SOA Analysis 150

Dataconomy

AUGUST 7, 2023

An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications. AI databases are specialized to store, manage, and retrieve data for artificial intelligence and machine learning applications ( Image credit ) What is an AI database?

Open Source 67

Open Source Artificial Intelligence Data Applications 67

CIO Business Intelligence

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events.

Strategy 115

Strategy Data Applications Cloud 115

Linux Academy

APRIL 29, 2019

You learn the basic knowledge of computer hardware, gain an understanding of open-source applications in the workplace, and learn to navigate systems on a Linux desktop, as well as rudimentary commands to navigate the Linux command line. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 60

Linux Course Big Data Devops 60

CIO Business Intelligence

SEPTEMBER 20, 2023

Over the years we’ve been working with business intelligence (BI) tools, and then incorporating other big data solutions outside of traditional BI, and, later, adopting advanced analytics. So in the data part, we’ve grown with technologies that weren’t convergent.

Cloud 98

Cloud Insurance Strategy Data 98

CIO Business Intelligence

OCTOBER 13, 2023

It’s a role that requires a wide range of skills including model architecture, data and ML pipeline creation, software development skills, experience with popular MLOps tools, and experience with tools such as BERT, GPT, and RoBERTa, among others.

Company 143

Company Survey Engineering Tools 143

Linux Academy

JUNE 25, 2019

With the frame-of-reference understanding from this course, you will be more prepared to tackle more complex technical concepts and terminology. MicroService Applications In Kubernetes. This course provides hands-on experience with installing and administering a complex microservice application in a Kubernetes cluster.

Course 60

Course Linux Cloud Devops 60

Linux Academy

JANUARY 29, 2019

Students will explore how containers work, how they compare with virtual machines and Docker containers, and how they handle application isolation. By having the frame-of-reference understanding from this course, you will be more prepared to tackle the more complex technical concepts and terminology.

Linux 60

Linux Devops Big Data Course 60

Linux Academy

FEBRUARY 26, 2019

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 80

Linux Big Data Course Devops 80

Cloud Musings

SEPTEMBER 25, 2016

Powered by Singapore-based Big Data start-up Crayon Data , BigData-MadeSimple.com tapped the insurance industry as being at the forefront of integrating cloud technology into their digital eco system. After completing over four successful years with the firm, Ameet could now be referred to as "The Insurance CloudMASTER®"!

Insurance 70

Insurance Meeting Cloud Training 70

Dataconomy

JUNE 15, 2023

Its applications span diverse domains, from healthcare to transportation, transforming the way we live and work. They facilitated the transition of computers from 19th-century decimal logic to binary logic, codifying the architecture of modern computers and demonstrating their universal capabilities for executing programmed tasks.

Artificial Intelligence 41

Artificial Intelligence Big Data IBM Programming 41

Dataconomy

MAY 2, 2023

These experts are responsible for designing and implementing machine learning algorithms and predictive models that can facilitate the efficient organization of data. The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline.

Engineering 44

Engineering Programming Course Data 44

Fountainhead

OCTOBER 17, 2012

Consider the use case to deliver huge numbers of applications and desktops across hundreds, thousands, or tens-of-thousands of mobile clients – Challenging for IT due to configuration, set-up, monitoring, management, network optimization and scaling. Mobility: A Perfect Use Case for the Cloud. Great Article.As mediawiki hosting.

Cloud 189

Cloud Data Center Mobile Virtualization 189

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Enterprise 129

Enterprise Enterprise Cloud Banking 129

Fountainhead

MARCH 16, 2009

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Infrastructure Orchestration and Unified Computing are both terms referring to a technology whereby server CPU, I/O, storage connectivity, and network, are all able to be defined and configured in software. Big Data. (6). Ken Oestreich.

Data Center 113

Data Center Storage Dell Virtualization 113

Fountainhead

MAY 6, 2010

Part 1: What is Converged Infrastructure, and how it will change data center management. Converged Infrastructure and Unified Computing are both terms referring to technology where the complete server profile, including I/O (NICs, HBAs, KVM), networking (VLANs, IP load balancing, etc.), Big Data. (6). Syndications.

Data Center 100

Data Center Virtualization Storage Network 100

Future of CIO

JANUARY 28, 2015

As businesses embark on the “digital Era” of computing (Cloud, Big Data, Mobile, Social). Some of these relate to ensuring that supply-side IT management issues are handled well (building infrastructure, designing architectures, operating technical and business platforms efficiently, building the IT skill sets, etc.),

Enterprise 49

Enterprise Enterprise Architecture Government 49

SPF13

SEPTEMBER 22, 2013

This tutorial will introduce the features of MongoDB by building a simple location-based application using MongoDB. The tutorial will cover the basics of MongoDB’s document model, query language, map-reduce framework and deployment architecture. Deploying the sample application. Building your first MongoDB Application.

Open Source 160

Open Source Applications Exercises Storage 160

SPF13

SEPTEMBER 22, 2013

This tutorial will introduce the features of MongoDB by building a simple location-based application using MongoDB. The tutorial will cover the basics of MongoDB’s document model, query language, map-reduce framework and deployment architecture. Deploying the sample application. Building your first MongoDB Application.

Open Source 160

Open Source Applications Exercises Storage 160

Linux Academy

MARCH 26, 2019

Students will explore how containers work, how they compare with virtual machines and Docker containers, and how they handle application isolation. By having the frame-of-reference understanding from this course, you will be more prepared to tackle the more complex technical concepts and terminology.

Linux 12

Linux Course Devops Big Data 12

A Screw's Loose

MAY 24, 2012

You start off small and gradually build your mobile ecosystem until you are creating applications for your devices and then you slowly expand the ecosystem to handle a heterogeneous mix of devices. Some people refer to this as mobile first or mobile 2.0, Tags Applications. Let’s just cut the b t and get straight to the point.

Mobile 68

Mobile Enterprise Enterprise SMB 68

Fountainhead

OCTOBER 6, 2009

A specific angle I want to address here is that of infrastructure automation ; that is, the dynamic manipulation of physical resources (virtualized or not) such as I/O, networking, load balancing, and storage connections - Sometimes referred to as "Infrastructure 2.0". Big Data. (6). Data Center efficiency. (1).

Load Balancer 100

Load Balancer Virtualization Data Center Network 100

Dataconomy

FEBRUARY 21, 2024

It’s super smart at dealing with big data and can help with tasks like translating languages and generating code. It uses a unique architecture called sparse mixture-of-experts (SMoE) to process large amounts of data efficiently. Get to know Mixtral 8x7B by Mistral AI. Want to learn more? in many instances.

Artificial Intelligence 45

Artificial Intelligence Open Source Licensing Architecture 45