Remove iot-data-integration-mqtt-streaming
article thumbnail

Scylla and Confluent Integration for IoT Deployments

Confluent

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.

Kafka 97
article thumbnail

5 Key Takeaways from #Current2023

Cloudera

With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Towards a Reliable Device Management Platform

Netflix Tech

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

article thumbnail

10+ AWS Project Ideas of 2023 with Source Code [All Levels]

Knowledge Hut

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. blog) easily using any of your preferred CMS. Most streaming platforms, including Netflix and Amazon Prime Video, already utilize content recommendation systems. Why is Learning AWS Important?

AWS 52
article thumbnail

Top 10 Azure Project Ideas for 2023 [Beginners to Advanced]

Knowledge Hut

This blog helps understand the top 10 Azure projects one can use for learning and understanding Azure services. Azure projects for learning that are discussed in this blog will help the candidates stand out in interviews as they correspond to some of the most common use cases in the industry.

Project 52
article thumbnail

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. Data scientists love Python, period.

article thumbnail

Striim Cloud on AWS: Unify your data with a fully managed change data capture and data streaming service

Striim

Businesses of all scales and industries have access to increasingly large amounts of data, which need to be harnessed effectively. According to an IDG Market Pulse survey , companies collect data from 400 sources on average. However, fragmented data can slow down the delivery of great product experiences and internal operations.

AWS 52