Remove event-driven-microservices-with-python-and-kafka
article thumbnail

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

Confluent

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js

Kafka 21
article thumbnail

Data Engineering Weekly #165

Data Engineering Weekly

The blog further emphasizes its increased investment in Data Mesh and clean data. The blog is an excellent overview of all the improvements made to PySpark in 2023. The blog narrates how Uber utilizes the existing infrastructure to support various AI/ML use cases.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

Kafka or Kinesis ? This blog series will help demystify streaming data, and more specifically, provide engineering leaders a guide for incorporating streaming data into their analytics pipelines. Typically, the “units” of data being streamed are considered events, which resemble a record in a database, with some key differences.

Kafka 52
article thumbnail

Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture

Confluent

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Event-driven architecture. Event-driven, reactive architecture.

article thumbnail

The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? How Apache Kafka streams relate to Franz Kafka’s books. What Kafka is used for.

Kafka 93
article thumbnail

Scylla and Confluent Integration for IoT Deployments

Confluent

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. Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. trillion by 2024.

Kafka 97
article thumbnail

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

Confluent

Apache Kafka ® and its surrounding ecosystem, which includes Kafka Connect, Kafka Streams, and KSQL, have become the technology of choice for integrating and processing these kinds of datasets. Use cases for IoT technologies and an event streaming platform. Example: Audi. Example: E.ON. Example: Target.

Kafka 20