Remove Blockchain Remove Cloud Remove IoT
article thumbnail

Article: InfoQ Mobile and IoT Trends Report 2022

InfoQ Articles

This report summarizes the views of the InfoQ editorial team and of several practitioners from the software industry about emerging trends in a number of areas that we collectively label the mobile and IoT space. By Sergio De Simone, Abhijith Krishnappa, Tridib Bolar.

IoT 130
article thumbnail

Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Use cases for IoT technologies and an event streaming platform. Use cases for IoT technologies and an event streaming platform.

IoT 20
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Digital Transformation of Traditional Private Equity Firms

The Network DNA

Adopting innovative technologies like big data analytics, machine learning, and cloud solutions allows PE firms to move from reactive to proactive strategies. Blockchain Blockchain technology revolutionizes how transactions are executed. This ultimately makes all your workflows more efficient.

article thumbnail

Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Regardless of whether your data is coming from edge devices, on-premises datacenters, or cloud applications, you can integrate them with a self-managed Kafka cluster or with Confluent Cloud ([link] which provides serverless Kafka, mission-critical SLAs, consumption-based pricing, and zero efforts on your part to manage the cluster.

article thumbnail

News in Networking: Apple’s New Data Center, Intel’s New Chip, and a Survey on Network Challenges

Kentik

Ericsson has new network services for IoT. Reuters reports this sets up “a battle with Advanced Micro Devices and others for the lucrative business of supplying the chips that power cloud computing,” designed for high-compute tech like AI and autonomous cars. Out with the old, in with the new, or so it seems this week.

article thumbnail

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

This approach supports different frameworks, products and cloud services. Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability. Anomaly detection of IoT sensor data with a model embedded into a KSQL UDF.

article thumbnail

Top Ten Technology Trends for 2024

Vedcraft

The most promising part is the broader impact of Generative AI across industry verticals, product companies, cloud service providers, and many more. While Snowflake, Databricks, Google BigQuery, Amazon Redshift, and Azure Synapse are the leading Cloud data platforms. broadening their core offerings as a comprehensive data platform.

Cloud 52