O'Reilly Media - Ideas

APRIL 13, 2023

Imagine application storage and compute as unstoppable as blockchain, but faster and cheaper than the cloud.) Protocol networks are groups of loosely affiliated enterprises that provide globally available services like ledger, compute, and storage. The new paradigm shift is from the cloud to the protocol network.

Technical Review 136

Technical Review Authentication Storage Serverless 136

Xicom

JANUARY 4, 2023

Top 10 Android app development trends 1) Artificial Intelligence 2) 5G Technology 3) Blockchain Technology 4) Augmented Reality and Virtual Reality 5) Internet of Things & Cloud 6) CyberSecurity 7) Wearables applications 8) Chatbots 9) Cross-platform development 10) Big Data Conclusion FAQs. 3) Blockchain Technology.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. The cost of cloud storage varies depending on your needs.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. The 21st century has seen the advent of some ingenious inventions and technology.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Similarly, blockchain technology powers new financial products and services, such as digital currencies and smart contracts.

Software Development 52

Software Development Trends Technology Software 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

MAY 20, 2020

These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. The transport layer is responsible for smooth and secure data transmission from a perception to processing layer. Devices are connected to sensors or even have them embedded as an integral part.

IoT 141

IoT Azure AWS Transportation 141

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. The main benefits are scalability and efficiency – it can support billions of various devices simultaneously. Developers can choose from 175 services available for everything, from data storage to blockchain.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. In the most critical use cases, every seconds counts.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Confluent

JUNE 26, 2019

Due to this, many architects use middleware as a backbone for microservice communication to create decoupled, scalable, and highly available systems. producers and consumers) in a reliable, scalable, and fault-tolerant way. Kafka handles backpressure, scalability, and high availability for them.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Confluent

OCTOBER 10, 2019

Most scenarios require a reliable, scalable, and secure end-to-end integration that enables bidirectional communication and data processing in real time. with the datacenter (on premises, cloud, and hybrid) to be able to process IoT data. Most MQTT brokers don’t support high scalability. Long-term storage and buffering.

IoT 20

IoT Internet Weak Development Team Scalability 20