CTOvision

DECEMBER 30, 2015

For 2016, expect more IT departments to be buying these small form factor cloud in a box data centers. Big Data : For years now people and our sensors and our computers have been generating more information than we can analyze. Home-based big data solutions that are easy to configure and manage will make their appearance.

Technical Review 62

Technical Review Trends Report Enterprise 62

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Altexsoft

JANUARY 22, 2020

Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Media streaming is one of them, but it’s only a visible part of an iceberg where data streaming is used. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

CTOvision

JANUARY 21, 2017

Trend #2—Internet of Things (IoT). IoT, long on the hype list for consumer technology, has been a reality on manufacturing floors, oil and gas rigs and even the fishing industry. IoT monitor every step of the process. Philips Healthcare is leading the IoT charge. Trend #3—Artificial Intelligence.

Artificial Inteligence 85

Artificial Inteligence Trends IoT Machine Learning 85

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Intelligence 120

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Data and analytics.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

JULY 9, 2021

manufacturing — generate so much data that it causes traffic jams on the route to the servers. The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. What is edge computing. Edge computing architecture.

IoT 59

IoT Azure Hardware USP 59

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 73

IoT Open Source Analytics Retail 73

Cloudera

JANUARY 3, 2019

This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Our platform runs in your data center. A new year is always an opportunity for change.

Machine Learning 74

Machine Learning Artificial Inteligence IoT Data Center 74

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Challenges A cloud is a computing model where IT services are provisioned and managed over the Internet in the case of public clouds or over private IT Infrastructure in the case of private cloud. Data can be moved from one cloud to another without the additional cost of reading from one cloud to write to another.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

OCTOBER 21, 2022

We describe information search on the Internet with just one word — ‘google’. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

CTOvision

DECEMBER 5, 2014

Insights include: IoT – Internet Of Things will become practical as government figures how to extend applications, solutions and analytics from the Gov Enterprise & Data Centers. News Technology News Best practice Big Data Cloud Computing Cloud Foundry IntelliDyne Software as a service'

Government 105

Government Infrastructure Enterprise Data Center 105

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. It is Google’s central AI platform, intended for developers and data scientists handling big data.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Cloudera

OCTOBER 3, 2018

In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. We believed then, and we still believe today, that the rest of the world would need to capture, store, manage and analyze data at massive scale. Their current workloads are safe.

Software Review 75

Software Review Open Source Technical Review IoT 75

Getronics

MAY 24, 2019

All this will be achieved through a modern data center with automated service delivery and transformed IT operations that utilize multi-cloud integration. Rapid transformation is well underway in big data and analytics, machine learning, and clinical genomics and HPC. Precision Medicine.

Healthcare 40

Healthcare Technology Firewall Malware 40

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. In 2019, the need for actions at the edge of process reach will push intelligent and dynamic actions in and around mostly IoT enabled work. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Actian

JANUARY 24, 2020

This list is a function of where we see use cases evolving for embedded Edge data management in the mobile, IoT, and complex intelligent equipment spaces. Handle Big Data at the Edge. In other words, you need a single platform for Client, Peer-to-Peer, Client-Server, and Internet/Intranet architectures.

Software Development 40

Software Development Software Development Off-The-Shelf 40

LeanEssays

JUNE 16, 2016

ERP Systems Meet Digital Organizations As enterprise IT focused on implementing ERP suites and developing an authoritative system of record, the Internet became a platform for a whole new category of software, spawning new business models that did not fit into the traditional processes managed by ERP systems. Scale But hold on.

Weak Development Team 56

Weak Development Team Internet Enterprise Architecture 56

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Building data-centered culture. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102