CIO

FEBRUARY 12, 2024

By: Scott Sellers , Co-Founder and CEO, Azul From the get-go, the cloud promised to help companies scale up their architectures in seconds, run their applications faster, never turn away a transaction, and save money through economies of scale. Cloud Computing, Cloud Storage

Cloud 266

Cloud Survey Resources Hardware 266

CIO

MARCH 9, 2022

Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. Challenges of supporting multiple repository types.

Artificial Inteligence 255

Artificial Inteligence Data Artificial Intelligence Analytics 255

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. These four capabilities together define the Enterprise Data Cloud.

Scalability 92

Scalability Technical Review Data Analytics 92

Datavail

DECEMBER 26, 2023

Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle massive amounts of data across multiple commodity servers. Its decentralized architecture and robust fault-tolerant mechanisms make it an ideal choice for handling large-scale data workloads.

Scalability 57

Scalability Disaster Recovery Backup Load Balancer 57

CIO

FEBRUARY 14, 2024

For example, Retrieval Augmented Generation (RAG) is emerging as a key technique to make LLMs useful to work with your own data — but you don’t want to feed in all your data. “How do you achieve data loss prevention when you’re telling your AI to go suck up all this data and reuse it?”

Artificial Inteligence 355

Artificial Inteligence Generative AI Software Review Development Team Review 355

CIO

OCTOBER 23, 2023

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 289

Sustainability Data Center Technical Review Energy 289

CIO

APRIL 4, 2024

Secure Access Service Edge (SASE) is an architecture that consolidates connectivity and security into a single cloud platform. Balmer provides an example of a doctor and their iPad. Adopting a zero trust approach to security is also an essential step in embracing decentralised computing.

Software Review 130

Software Review Technical Review Load Balancer WAN 130

Datavail

NOVEMBER 17, 2021

As data volumes continue to grow, the systems and architectures need to evolve. In one example, a multimedia nonprofit used several technologies for data storage and analysis to enable them to fundraise, track radio streaming, and measure the efficacy of their marketing – SQL Server, Tableau, Microsoft BI, and Alteryx.

Case Study 97

Case Study Analytics Study Architecture 97

Cloudera

AUGUST 30, 2022

A simple example from a recent article in StateTech makes this case. Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. That’s just the tip of the iceberg.

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. What is a data lake? Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage Machine Learning 52

Perficient

DECEMBER 28, 2023

INTRODUCTION: In the fast-paced world of e-commerce, businesses are constantly seeking robust and scalable solutions to provide seamless online shopping experiences. At the heart of HCL Commerce lies its common architecture, a carefully crafted framework that ensures flexibility, scalability, and performance.

Architecture 52

Architecture B2C Applications Scalability 52

OTS Solutions

NOVEMBER 26, 2023

Multi-cloud is important because it reduces vendor lock-in and enhances flexibility, scalability, and resilience. It is crucial to consider factors such as security, scalability, cost, and flexibility when selecting cloud providers. Also Read: How mobile apps and cloud accelerating Industry 4.0 transformation?

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

CIO

NOVEMBER 29, 2023

Architectural lock-in is when the application relies on multiple managed services from the cloud provider. Mergers and acquisition activity often leaves organizations with multi-cloud architectures, says Nag, and while CIOs typically want to consolidate, the cost is often too high to justify. Security is a good example. “If

Cloud 295

Cloud Technical Review Software Review Systems Review 295

CIO

APRIL 1, 2024

For CIOs deploying a simple AI chatbot or an AI that provides summaries of Zoom meetings, for example, Blackwell and NIM may not be groundbreaking developments, because lower powered GPUs, as well as CPUs, are already available to run small AI workloads. The case for Blackwell is clear, adds Shane Rau, research VP for semiconductors at IDC.

Hardware 243

Hardware Artificial Inteligence Off-The-Shelf Generative AI 243

TechCrunch

AUGUST 16, 2022

Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. Part of the problem is that data-intensive workloads require substantial resources, and that adding the necessary compute and storage infrastructure is often expensive.

Data Center 208

Data Center Analytics Weak Development Team Data 208

Infinidat

SEPTEMBER 30, 2022

Customers Gain Competitive Advantage with Infinidat’s Enterprise Storage Solutions. Cost savings, performance improvement, and 100% availability with zero downtime are hallmarks of Infinidat’s enterprise storage solutions. Most of Petco’s core business systems run on four InfiniBox® storage systems in multiple data centers.

Storage 52

Storage Enterprise Disaster Recovery Case Study 52

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Security Architecture Improvements. Logical Architecture. Logical Architecture. Security Zones.

Architecture 110

Architecture Data Authentication Policies 110

TechCrunch

DECEMBER 14, 2022

Flash memory and most magnetic storage devices, including hard disks and floppy disks, are examples of non-volatile memory. sets of AI algorithms) while remaining scalable. EnCharge was launched to commercialize Verma’s research with hardware built on a standard PCIe form factor.

Hardware 216

Hardware Development Machine Learning Artificial Inteligence 216

Apiumhub

JUNE 2, 2020

In the Global Software Architecture Summit we were discussing software architecture patterns a lot and I decided to write an article about it, highlighting leading software architects insights. . First of all, what are software architecture patterns? 5 major Software Architecture patterns. Microkernel pattern.

Architecture 61

Architecture Software Microservices Scalability 61

CIO

JUNE 7, 2023

You’ve created the right architecture to collect and store your data and the best way to keep costs low is to leverage what you have. The solution to a storage cost problem is not adding more storage; it’s finding ways to process your data in place. This requires a high-performance database that can bring ML to the data.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. The cost of cloud storage varies depending on your needs.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Apiumhub

MARCH 9, 2021

In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. What is Data Architecture. Data architecture components. Responsibilities of a Data Architect.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52

Infinidat

OCTOBER 28, 2020

Am I the Only One Bored with Storage System Tech Refresh Announcements? In 1996, I was part of the launch team for a new storage system that was functionally deficient in several areas relative to its competitors. Hillel Nakache. Wed, 10/28/2020 - 07:30. Predictability Is The Gateway To Boring.

Storage 52

Storage System Weak Development Team Scalability 52

Infinidat

OCTOBER 28, 2020

Am I the Only One Bored with Storage System Tech Refresh Announcements? In 1996, I was part of the launch team for a new storage system that was functionally deficient in several areas relative to its competitors. Hillel Nakache. Wed, 10/28/2020 - 07:30. Predictability Is The Gateway To Boring.

Storage 52

Storage System Weak Development Team Scalability 52

Altexsoft

JUNE 29, 2021

These days, it’s getting more common for application designs to be built on an event-driven architecture. In this article, we’re going to talk about event-driven architecture (EDA) and its most commonly used messaging pattern, publish/subscribe (pub/sub). Understanding event-driven architecture and pub/sub.

Architecture 75

Architecture Microservices IoT Scalability 75

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. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

JANUARY 5, 2023

Here are some examples of how IT pros are using low code/no code tools to deliver benefits beyond just reducing the workload on professional developers. Sendinblue, for example, abstracts its application programming interfaces (APIs) into reusable widgets. So there’s a lot in the plus column, but there are reasons to be cautious, too.

Software Review 307

Software Review Tools Off-The-Shelf Technical Review 307

Dzone - DevOps

MAY 1, 2023

This was not only about rewriting applications, but the backend data stores were also redesigned in terms of dynamic scalability , high performance, and flexibility for event-driven architecture.

Serverless 83

Serverless Lambda Data Microservices 83

CIO

JANUARY 9, 2023

In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture. Those using a turnkey, scalable BOaaS platform are quickly able to manage an entire AI and IoT ecosystem from one dashboard, across the cloud, edge and far edge. [4]

IoT 309

IoT Technical Review Company Data 309

CIO

FEBRUARY 14, 2023

Here are some examples: Fraud It’s critical to identify bad actors using high-quality AI models and data Product recommendations It’s important to stay competitive in today’s ever-expanding online ecosystem with excellent product recommendations and aggressive, responsive pricing against competitors.

Artificial Inteligence 272

Artificial Inteligence Strategy Data Machine Learning 272

Infinidat

DECEMBER 15, 2020

De-Risking Enterprise Storage Upgrades (Part 2). The first part of this blog post discussed common design approaches in enterprise storage that are used to de-risk upgrades. Most enterprise array architectures are built around a controller-pair oriented hardware design. Bruria Helfer. Wed, 12/16/2020 - 01:01.

Storage 52

Storage Enterprise Software Review Technical Review 52

Infinidat

DECEMBER 15, 2020

De-Risking Enterprise Storage Upgrades (Part 2). The first part of this blog post discussed common design approaches in enterprise storage that are used to de-risk upgrades. Most enterprise array architectures are built around a controller-pair oriented hardware design. Bruria Helfer. Wed, 12/16/2020 - 01:07.

Storage 52

Storage Enterprise Software Review Technical Review 52

AWS Machine Learning - AI

FEBRUARY 9, 2024

For example, they may need to track the usage of FMs across teams, chargeback costs and provide visibility to the relevant cost center in the LOB. For example, if only specific FMs may be approved for use. The following diagram summarizes the solution architecture and key components.

Lambda 124

Lambda Generative AI AWS Microservices 124

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads. The storage layer for CDP Private Cloud, including object storage.

Architecture 100

Architecture Cloud Data Technical Advisors 100

Netflix Tech

APRIL 27, 2023

While we were able to put out the immediate fire by disabling the newly created alerts, this incident raised some critical concerns around the scalability of our alerting system. It became clear to us that we needed to solve the scalability problem with a fundamentally different approach.

Metrics 115

Metrics Systems Review Storage Weak Development Team 115

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. What is a data lakehouse?

Architecture 52

Architecture Data Storage Machine Learning 52

AWS Machine Learning - AI

DECEMBER 14, 2023

We introduce the concept of Spaces and explain how JupyterLab Spaces enable flexible customization of compute, storage, and runtime resources to improve your ML workflow efficiency. A Space represents a combination of a compute instance, storage, and other runtime configurations. Reconfigure the compute, storage, or runtime.

Generative AI 93

Generative AI Artificial Inteligence Tools Software Review 93