CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 358

LAN Systems Administration How To WAN 358

CIO

DECEMBER 19, 2023

Also, the report stated that a comprehensive solution, robust data security and compliance systems, outstanding customer support, and continuous innovation are key success factors for hybrid cloud providers. And Huawei Cloud Stack’s intelligent cloud management platform, ManageOne, centrally manages services, operations, and maintenance.

Cloud 246

Cloud Marketing Disaster Recovery Telecommunications 246

CTOvision

MARCH 31, 2014

The Pentaho blog has just announced a series of design overviews which can be of use in accelerating data modernization activities in your enterprise. These Blueprints to Big Data Success include design packages around the use cases of: Optimizing the data warehouse. Streamlining the data refinery. By Bob Gourley.

Big Data 95

Big Data Data Architecture Analysis 95

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

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

Big Data 63

Big Data Data Storage Microservices 63

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

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 Google Cloud Data Azure 71

CIO

JUNE 7, 2023

Real-time AI demands large amounts of data to train ML models and make accurate predictions or generate new content very quickly. This requires a high-performance database that can bring ML to the data. 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.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

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

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence 109

Artificial Inteligence AWS Lambda Metrics 109

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

Kentik

SEPTEMBER 6, 2016

This post focuses on the first of those videos, in which Kentik’s Jim Frey, VP Strategic Alliances, talks about the complexity of today’s networks and how Big Data NetFlow analysis helps operators achieve timely insight into their traffic. Why Big Data NetFlow Analysis? You have to build the right architecture to do that.

Big Data 40

Big Data Analysis Data Architecture 40

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? An example of a data lake architecture.

Architecture 52

Architecture Data Storage Machine Learning 52

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

Since then, cloud providers have developed quick deployment guides , architecture recommendations and have trained third-party solution providers to make sure users have readily available information about maintaining a secure cloud. The post Genomics Big Data Security: Cloud Today, Blockchain Tomorrow?

Blockchain 40

Blockchain Big Data Cloud Data 40

Mentormate

APRIL 15, 2024

Additionally, Java’s modular architecture and well-defined APIs help facilitate easy extension and alteration of the codebase, making it adaptable to evolving requirements. With built-in security features and an intuitive development environment, Java provides a solid foundation for secure, scalable, and adaptable software products.

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

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. It’s also used to deploy machine learning models, data streaming platforms, and databases. Every machine learning model is underpinned by data.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets.

Government 357

Government Data Technical Review Policies 357

Openxcell

JANUARY 6, 2023

The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Scalability.

Architecture 52

Architecture Cloud Storage Google Cloud 52

CIO

JUNE 15, 2023

So she needs to keep tabs on the spectacular rise of artificial intelligence (AI) and its use cases, while also monitoring developments across topics that have been around for years, like big data, RFID and cybersecurity. But if you want something to be scalable and secure, you’ve got to go for a platform solution.

Off-The-Shelf 246

Off-The-Shelf Artificial Intelligence Artificial Inteligence eCommerce 246

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

APRIL 6, 2015

New in the CTOvision Research Library: We have just posted an overview of an architectural assessment we produced laying out best practices and design patterns for the use of SAS and Apache Hadoop, with a focus on the government sector. Here is more: Enterprises in government are awash in more data than they can make sense of.

Government 113

Government Business Analytics Big Data Architecture 113

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 106

Data Architecture Analytics Government 106

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 Systems Review 44

CIO

OCTOBER 13, 2023

This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise. Candidates typically have experience in big data, coding, model selection and customization, language modeling, language translation, and text summarization using NLP tools.

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

Perficient

MARCH 6, 2023

First developed at LinkedIn in 2010, it has become one of the most widely used messaging systems for big data and real-time analytics. Kafka can process and transmit massive amounts of data in real-time, and its design ensures fault tolerance, scalability, and high availability.

Scalability 64

Scalability Big Data Analytics Applications 64

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. ” “Big data technologies are advancing at speeds like never before.

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

Perficient

FEBRUARY 28, 2023

This included: First understanding and prioritizing the business and IT needs and challenges Defining the platform and program architecture, AND selecting the cloud platform and tools, And defining the program structure, project organization, and execution plan to implement the roadmap.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

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.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

CTOvision

APRIL 13, 2015

Built on a commodity compute platform and scalable up to 1000 TB, Pandion provides real-time Capture-to-Disk with zero packet loss at speeds up to 100 Gbps. Hardware based PTP (precision time protocol) timing ensures nanosecond-precision time stamping for every captured packet to allow for high fidelity analysis and replay of captured data.

Big Data 88

Big Data Analysis Architecture Hardware 88

Apiumhub

MARCH 9, 2023

Working with an outsourcing partner can help mitigate the risks associated with your project, such as underestimating timescales and lack of scalability. Apiumhub is a software partner with years of experience applying best practices that help technical teams deliver robust, scalable, and better-performing working software on time.

Software Review 76

Software Review Technical Review Software Software Development 76

Apiumhub

NOVEMBER 17, 2022

Speakers include: Simon Brown – Creator of the famous C4 model, Author of “Software Architecture for Developers” & Founder of Structurizr. Francesco Cesarini – Founder, & Technical Director at Erland Solutions, Co-author of “Erlang Programming“ and “Designing for Scalability with Erlang/OTP“.

Technical Review 79

Technical Review Software Review Fractional CTO CTO Coach 79

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

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

Datavail

NOVEMBER 3, 2022

According to Oracle , the Java EE platform is specifically designed for developers responsible for large scale, reliable, scalable, and secure network apps. Big Data Technology. It is much more difficult to extract data from such a fast moving and complex data set. Enterprise Applications.

Software Development 52

Software Development Software Review Software Development 52