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

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. 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. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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

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 287

Artificial Inteligence Strategy Data Machine Learning 287

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

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 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

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

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. Networking technologies to send data. Let’s get started. IoMT ecosystem components.

Healthcare 64

Healthcare Internet IoT Systems Review 64

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 108

Analytics Open Source Government Machine Learning 108

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

CTOvision

JUNE 12, 2014

We’ve migrated to a userid-password society; as we’ve added layers of security, we password-protect each layer: PC (and now device), network, enclave, application, database, and storage (encryption). The main concept is to leverage big data to determine the unique identity of an individual based on his or her behavior.

Storage 99

Storage Mobile Network Authentication 99

Hu's Place - HitachiVantara

JANUARY 3, 2019

More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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

Trigent

MARCH 24, 2021

Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs). Nihir Chadderwala is a Sr.

Knowledge Base 106

Knowledge Base Artificial Inteligence Generative AI AWS 106

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. For example, they can create custom applications, help with the migration of existing data, and manage and support cloud architectures. These employees are occupied with the big picture. rate each year.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

Mobilunity

MAY 31, 2021

So if an app needs to request data stored outside of this device, it needs a set of APIs. A web API development company helps to integrate data with web-based software. It is a client-server architecture powered by HTTP. REST (Representational State Transfer) is not a protocol but is a software architectural style.

Development 52

Development PHP Software Review Technical Review 52

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. The serving and monitoring infrastructure need to fit into your overall enterprise architecture and tool stack. So how can the Kafka ecosystem help here?

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Gorilla Logic

OCTOBER 2, 2019

For many businesses, IoT has rapidly become a powerful “weapon of mass disruption.” Legacy architecture. It might not surprise you to learn that, just 26% of all IoT initiatives succeed. . Here are four strategies you can adopt to greatly increase the odds of success for your IoT or IoT-enabled connected enterprise project.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Actian

JULY 26, 2019

Hybrid infrastructure support: How well does your future warehouse need to support the various current and future operational requirements of your organization by enabling secure access from anywhere, ingesting data in real time, and providing elasticity to increase or decrease compute and storage resources when you need to?

Cloud 40

Cloud Data Analytics Case Study 40

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 78

Big Data Data Agile Enterprise 78

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. . Data Warehousing.

Engineering 270

Engineering Wireless 3D Programming 270

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

Mobilunity

APRIL 22, 2021

The spheres that are in the most demand of experts are AI, IoT, and Big Data. Other technologies that are in high demand for Germany nearshoring software development are: Python; Data Storage, Architecture, and Analysis; Cyber Security; CRM solutions; Machine Learning; DevOps.

Technical Review 52

Technical Review PHP Software Review .Net 52

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

Confluent

MAY 22, 2019

Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

IoT 96

IoT Google Cloud Scalability Microservices 96

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Design and maintain network architecture for all AWS services. AWS Certified Big Data – Speciality. For individuals who perform complex Big Data analyses and have at least two years of experience using AWS.

Google Cloud 9

Google Cloud Azure AWS Cloud 9