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? Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage Machine Learning 52

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Temporal data and time-series.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

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

Altexsoft

OCTOBER 24, 2019

In this article, we will discuss what an enterprise data warehouse is, its types and functions, and how it’s used in data processing. We will define how enterprise warehouses are different from the usual ones, what types of data warehouses exist, and how they work. What is an Enterprise Data Warehouse?

Architecture 50

Architecture Enterprise Data Technical Review 50

Trigent

APRIL 14, 2022

Here, we want to talk about how the workplace has changed forever: especially the distributed enterprise. . To be fair, the distributed enterprise is not a new concept at all. How will you make the Distributed Enterprise future-ready? . CSPs have blurred the line between enterprise and carrier cloud with their offerings.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. Whether financial, healthcare, energy, manufacturing, or web enterprises, across all industries, a common goal is digitizing the organization as fast as possible. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT).

IoT 40

IoT Network Tools Big Data 40

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Trigent

MARCH 29, 2023

Rather it requires a conscious effort to design and develop an architecture that delivers an integrated experience regardless of the distribution partners. This allows InsurTechs to take advantage of additional data available with the distribution partner to personalize the coverage and premiums.

Insurance 95

Insurance Strategy Serverless Big Data 95

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Big Enterprise Data.

Engineering 270

Engineering Wireless 3D Programming 270

Palo Alto Networks

MARCH 21, 2024

The Department of Defense (DoD) is on a relentless mission to fortify its networks with a comprehensive, no-fail Zero Trust architecture. From the ground up, our firewalls consolidate sensors on a single platform, providing app, user, content and device-ID visibility on top of IDS/IPS, URL filtering, DNS Security, IoT and SD-WAN.

Meeting 90

Meeting Firewall WAN Artificial Intelligence 90

Cloudera

JANUARY 26, 2022

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. But how did the hybrid cloud come to dominate the data sector? . Modern Day and the Future.

Cloud 83

Cloud Data Architecture Virtualization 83

Cloudera

MARCH 24, 2022

Clearly the emergence of virtualized network infrastructure is a domain offering lots of scope for new services and new roles for the service provider to play in enterprise solutions, and the idea of an open programmable network,has great attraction both to service providers and their enterprise clients.

Telecommunications 122

Telecommunications Technical Review Weak Development Team Network 122

Mentormate

APRIL 15, 2024

This platform independence has made Java a preferred choice for developing cross-platform applications, ranging from desktop to mobile and enterprise solutions. Additionally, Java’s modular architecture and well-defined APIs help facilitate easy extension and alteration of the codebase, making it adaptable to evolving requirements.

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal.

Artificial Inteligence 273

Artificial Inteligence Strategy Data Machine Learning 273

Apiumhub

FEBRUARY 6, 2023

We are excited to announce that for the second year in a row , Apiumhub will support the Data Innovation Summit , which will take place on May 11th and 12th in Kistamässan, Stockholm. It’s a fantastic opportunity to network and learn from case studies and outstanding industry leaders.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Advanced analytics empower risk reduction . Improve Visibility within Supply Chains.

Analytics 108

Analytics Open Source Government Machine Learning 108

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. Everything You Need to Know – Architecture, Benefits & Much More appeared first on OpenXcell. What is cloud computing? The post What is Cloud Computing?

Architecture 52

Architecture Cloud Storage Google Cloud 52

CTOvision

DECEMBER 30, 2015

Here is more on what we expect each will bring us in 2016: Cloud Computing : The efficiencies of this new architecture are driving compute costs down. Big Data : For years now people and our sensors and our computers have been generating more information than we can analyze. The home will be a major avenue for IoT advances.

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

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 114

System Data Big Data Business Analytics 114

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big Data Technologies and Architectures. The most common big data use case is data warehouse optimization.

Analytics 52

Analytics Trends Data Big Data 52

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. M ost spend more than 70% of the data and analytics budget o n data warehousing, data lake s, management, and storage.

Infrastructure 64

Infrastructure Data Retail Analytics 64

RapidValue

MAY 6, 2020

RapidValue’s dedicated software engineers have extensive experience of synergizing industry domain experience to deliver digital business transformation solutions traversing Mobile, Social, Cloud, Big Data & Analytics, and IoT. Enabling Cloud-driven Transformation.

Technical Review 98

Technical Review Development B2B Mobile 98

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. 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.

Engineering 52

Engineering Data Storage AWS 52

Altexsoft

MARCH 30, 2020

But such improvements require significant investments in IT infrastructure and expertise — namely, in industrial IoT (IIOT) sensors, analytics software with machine learning capabilities, services of data scientists and IT specialists, staff training. Splunk , an industrial analytical tool already integrated with leading IoT platforms.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CTOvision

FEBRUARY 23, 2017

Attending is a great way to track the latest in the community, learn (and share) lessons learned and find the most capable technologies ready for enterprise use. This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

Trigent

FEBRUARY 15, 2023

Introduction – Dealing with the data tsunami Data, when properly processed and analyzed, can substitute assumptions with knowledge. As a result, implementing Data-driven systems is a daunting prospect, leaving valuable data unused or underutilized. Big Data / Fast Data – Do I need both?

Data 52

Data Insurance Technical Review Big Data 52

OverOps

SEPTEMBER 20, 2018

The Do’s and Don’ts That Every IoT Project Should Be Built On. In this panel, we’ll hear from Hal Rottenberg , Staff Sales Engineer and Andi Mann , Chief Technology Advocate from Splunk, as well as from Cesar Barria , Director Architecture at Cox Auto and Deepak Giridharagopal , CTO at Puppet about the current state of DevOps.

Artificial Inteligence 133

Artificial Inteligence Artificial Intelligence DevOps IoT 133

Perficient

MARCH 3, 2023

AEM Platform Overview A standard AEM architecture consists of three environments: author, publish, and dispatcher. Also, AEM can be used to augment or create headless commerce architectures seamlessly. Each of these environments consists of one or more instances.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Altexsoft

JUNE 25, 2019

Notably, data warehouse doesn’t support as many concurrent users as a database, while being designed for a small group of analysts and business users. Data warehouse architecture. To structure a data warehouse, four basic components are combined. Data warehouse storage. Data warehouse management tools.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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. Edge computing architecture. What is edge computing.

IoT 59

IoT Azure Hardware USP 59

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

Enterprise Storage Forum recently published their 2018 Storage Trends survey which made some interesting observations. When one considers the data explosion being accelerated by Big Data, IoT, the increasing use of meta data, and AI/Machine learning, it is not surprising that storage capacity should be our greatest concern.

Storage 53

Storage Performance IoT Machine Learning 53

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

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. Technological perspective: First attempts at building data pipelines.

Analytics 102

Analytics Technical Review Technology Applications 102