CIO

AUGUST 29, 2022

Between the now-prevalent hybrid cloud architecture and ongoing digital transformation efforts, entire industries are experiencing tectonic shifts in how they do business and disruptions from new competitors. This article was originally published here by Andy Nallappan. Transforming the enterprise. A software modernization journey.

Software 244

Software Course Scalability DevOps 244

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

JUNE 7, 2023

In a nutshell, data scientists and developers have been trying to build the most powerful, sophisticated applications for the next generation of business on complex infrastructure built for the demands of yesterday. Many traditional AI/ML systems, and the outcomes they produce, rely on data warehouses and batch processing.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Data Google Cloud Azure 71

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. IaaS (Infrastructure as a Service).

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

FEBRUARY 11, 2023

A data architect is an IT professional responsible for the design, implementation, and maintenance of the data infrastructure inside an organization. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient. ML models need to be built, trained, and then deployed in real-time.

Artificial Inteligence 287

Artificial Inteligence Strategy Data Machine Learning 287

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

Falcon Chronicles

OCTOBER 24, 2018

In the field of genomics, it gave even the smallest lab access to the same infrastructure being used by the largest research centers and even more in many cases. It also made collaboration more seamless as it provided the opportunity for shared data sources and easier sharing of results. appeared first on Falcon Computing.

Blockchain 40

Blockchain Big Data Cloud Data 40

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Where data flows, ideas follow. Today, we are leading the way in hybrid data.

Data 116

Data Architecture Analytics Big Data 116

CIO

OCTOBER 13, 2023

This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise. AI researchers need to understand data and automation infrastructure, machine learning models, AI tools and algorithms, data science, programming, and how to build AI models from scratch.

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

Apiumhub

MARCH 26, 2019

2019 has become a remarkable year for Apiumhub ; new office, Apium Academy , Open Source Projects , software architecture meetups, cool innovative projects and… we can’t wait to share with you guys that the Apiumhub team is organizing the Global Software Architecture Summit (GSAS) 10th of October in Barcelona. Michael Feathers.

Software Review 44

Software Review Architecture Technical Review Software 44

Netflix Tech

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 130

Network IPv6 Transportation AWS 130

RapidValue

JUNE 16, 2020

Modernize Application Architecture. While working on Cloud Native application development, we need to make our application architectures more reactive leveraging Microservices. You should adopt a fast monolith approach by moving the existing architecture to a more modular, service-based architecture, and API-based communication.

Applications 90

Applications Cloud Development Microservices 90

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address. In reality, Agile and DevOps are two facets of the same principle.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

RapidValue

DECEMBER 14, 2020

Most often, the word “cloud migration” described the move from on premise or legacy infrastructure to the cloud. Many enterprises move their applications and data to the cloud to avoid the need to build and maintain an on premise infrastructure. Moving to the cloud meant easy data back-up and recovery.

Cloud 98

Cloud Data Center Scalability Enterprise 98

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Kentik

FEBRUARY 4, 2021

Network observability deals with a wide diversity of high-speed and high cardinality real-time data and requires being able to ask questions both known and unknown. Doing this at network scale has been a hard problem for decades, and requires a flexible, scalable, and high-performance data platform. Conclusion.

Network 80

Network Data Storage Analytics 80

Perficient

MARCH 3, 2023

They want to deploy a powerful content management solution on a scalable and highly available platform and also shift focus from infrastructure management so that their IT teams focus on content delivery. AEM Platform Overview A standard AEM architecture consists of three environments: author, publish, and dispatcher.

AWS 64

AWS Technical Review Load Balancer Cloud 64

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Protera

MAY 16, 2023

The pandemic, followed by new norms around remote and hybrid work, and intensified by big data and the need for more scalable IT infrastructures have collectively provided the final push many companies needed to operate their enterprise applications on the cloud.

Azure 52

Azure Cloud Architecture Enterprise 52

Linux Academy

APRIL 9, 2019

AWS Certified Big Data. As the name implies, it focuses on testing one’s ability to architect applications and infrastructures on Amazon Web Services, which is something many organizations are looking for. Understand AWS architectural best practices. An understanding of the AWS global infrastructure.

AWS 60

AWS DevOps Architecture Scalability 60

CTOvision

DECEMBER 16, 2014

In particular, this year at SC14 DDN (Data Direct Networks) announced several new additions to its product line, as well as some updates to existing products, that have raised the bar for high performance, scalable storage systems. For more information on how DDN is empowering data intensive analytics and HPC you can contact them here.

Storage 104

Storage Analytics System Data 104

Cloudera

MARCH 13, 2019

The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data. Who are the Data Heroes? The company provide a scalable transaction platform to expand across cash management businesses.

Artificial Inteligence 72

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 72

Mobilunity

MAY 8, 2023

It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake. Data Security.

Engineering 52

Engineering Data Storage AWS 52

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. AWS is architected to be the most secure global cloud infrastructure on which to build, migrate, and manage applications and workloads.

Artificial Inteligence 127

Artificial Inteligence Generative AI Security Applications 127

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

RapidValue

JANUARY 5, 2020

It enables one to run the code in high availability compute infrastructure, execute the code only when required and scale automatically. Hassle-Free: With Lambda being a serverless computing service , one does not need to worry about the infrastructure needed to run the functions.

Lambda 61

Lambda Serverless AWS Architecture 61

John Snow Labs

AUGUST 7, 2024

The session also discusses the use cases for Generative AI that are currently being deployed, the architectures used to deliver these solutions, and benchmarks that are being developed to evaluate and decide between general-purpose and healthcare-specific GPT (Generative Pre-trained Transformer) models.

Generative AI 59

Generative AI Healthcare Artificial Inteligence Technical Review 59

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Compared to legacy Apache HBase or Phoenix implementations, COD has been architected to enable organizations optimize infrastructure costs, streamline application development lifecycle and accelerate time to value.

Storage 99

Storage Azure Technical Review Database Administration 99

Mobilunity

JULY 2, 2021

With Microsoft’s enormous data capacity, Azure provides SaaS (software-as-a-service), PaaS (platform-as-a-service), and IaaS (infrastructure-as-a-service) services to meet any business needs. Let’s take a deeper look at the most popular types of its managed services: Azure Cloud Architecture. Infrastructure Managed Services.

Azure 52

Azure Technical Review Recruiting Infrastructure 52

CircleCI

NOVEMBER 18, 2021

IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. But as the demands on software teams continue to grow, it has become apparent that adding more staff is not a scalable solution. AIOps uses machine learning and big data to assist IT operations.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 52

Trigent

APRIL 14, 2022

From an IT/networking perspective, distributed enterprises always moved away from a centralized IT infrastructure to connected islands to maximize convenience, networking and efficiency, faster access, and localized control. Here, we want to talk about how the workplace has changed forever: especially the distributed enterprise. .

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Altexsoft

JUNE 29, 2021

While MLEs concentrate on delivering ready-to-use ML products, data engineers are in charge of everything that happens with data before it is fed to algorithms. They build, test, and maintain data pipelines — or infrastructures for moving data from its source to where it is consumed by models.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105