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

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

Gorilla Logic

JUNE 5, 2018

In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. On the other hand, if you don’t know what IoT is, then please make a quick search and we’ll wait for you. Some of the IoT Challenges.

IoT 47

IoT Software Serverless AWS 47

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 91

Analytics Network Innovation IoT 91

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. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT). IoT infrastructure represents a broad diversity of technology. So, how can digital businesses cope with these challenges without giving up on IoT?

IoT 40

IoT Network Tools Big Data 40

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

Kentik

FEBRUARY 22, 2018

[vc_row][vc_column][vc_column_text] The Internet of Things (IoT) represents a massive threat to network infrastructure as already seen in widely publicized IoT-based DDoS attacks. The KrebsOnSecurity website came under a sustained DDoS attack in September 2016 from more than 175,000 IoT devices.

IoT 40

IoT Malware Big Data Internet 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

Openxcell

JANUARY 6, 2023

PaaS solutions must include readily available programming components that let programmers add new functionality to their apps, including cutting-edge technologies like artificial intelligence (AI), chatbots, blockchain, and the Internet of Things (IoT). The architect’s job is to make sure that all of these components function harmoniously.

Architecture 52

Architecture Cloud Storage Google Cloud 52

CTOvision

MAY 28, 2014

Reston, VA, May 27, 2014 – Software AG (Frankfurt TecDAX: SOW) today unveiled its Internet of Things (IoT) Solution Accelerator, a tightly-bundled set of smart tools that help business leaders gain actionable insights from different, disparate data sources in real-time enabling them to make better business decisions.

Internet 113

Internet IoT Big Data Firewall 113

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 84

Cloud Data Architecture Operating System 84

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

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

Cloudera

MARCH 24, 2022

5G networks offer tremendous benefits in terms of performance and security, and crucially, they open up significant possibilities for the Internet of Things (IoT) and connected businesses. Telco loves its data! Serving that market goes beyond providing ‘commodity connectivity’, no matter how fast and reliable it is!

Telecommunications 123

Telecommunications Technical Review Weak Development Team Network 123

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

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. Big Data Technologies and Architectures.

Analytics 52

Analytics Trends Data Big Data 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

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 266

Artificial Inteligence Strategy Data Machine Learning 266

Trigent

FEBRUARY 15, 2023

Big Data / Fast Data – Do I need both? Big data is the vast amounts of structured and unstructured data generated from customer interactions, IoT devices, social media, and more. Big data insights are used to identify market trends, determine value propositions, and influence product design.

Data 52

Data Insurance Technical Review Big Data 52

Altexsoft

APRIL 23, 2021

We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) , often referred to as healthcare IoT. IoT platforms to store, process, and manage data. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64

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

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

CTOvision

FEBRUARY 23, 2017

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. If you want to tap into the opportunity that big data presents, you want to be there. Why You Should Attend.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

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. In part one of this blog, I examine the cost of legacy systems and introduce an answer to th at problem. .

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.

Technical Review 98

Technical Review Development B2B Mobile 98

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 107

Analytics Open Source Government Machine Learning 107

IDC

JULY 23, 2019

In contrast, spending on 3rd Platform technologies (cloud, mobility, Big Data, and social) and innovation accelerators is projected to soar by around 15% from 2019–2022. CX may use hyperscale or multicloud platforms to support data and omni-channel integration. Overall ICT spending in Europe is forecast to rise by 3.0%

IoT 45

IoT Artificial Intelligence Artificial Inteligence Big Data 45

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

Data Virtualization

MAY 21, 2019

The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. are found coexisting with relational databases to fuel the.

Data 45

Data IoT Architecture Big Data 45

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

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. You’ve heard analysts say that data is the new oil that fuels digital transformation.

Storage 53

Storage Performance IoT Machine Learning 53

O'Reilly Media - Ideas

DECEMBER 5, 2018

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Developing Incremental Architecture , February 11-12. Fundamentals of IoT with JavaScript , February 14-15.

Artificial Inteligence 101

Artificial Inteligence Course Training Blockchain 101

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

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone.

Engineering 52

Engineering Data Storage AWS 52

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. AIOps is a set of methods or practices that makes rapid data processing possible for vast volumes of data, which then feed into an ML engine to predict issues.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21. IoT Fundamentals , May 16-17.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Hu's Place - HitachiVantara

JANUARY 3, 2019

Trend 3: Increasing Data Requirements Will Push Companies to The Edge with Data Enterprise boundaries are extending to the edge – where both data and users reside, and multiple clouds converge.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86