IBM Journey to AI blog

JANUARY 8, 2024

They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise.

EDA 110

EDA Apache Kafka Clustering Data Governance 110

DagsHub

APRIL 7, 2024

Also, while it is not a streaming solution, we can still use it for such a purpose if combined with systems such as Apache Kafka. Miscellaneous Implemented as a Kubernetes Custom Resource Definition (CRD) - individual steps of the workflow are taken as a container. Cloud-agnostic and can run on any Kubernetes cluster.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

OCTOBER 23, 2024

For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

The MLOps Blog

AUGUST 11, 2023

Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., Here, the DAGs represent workflows comprising units embodying job definitions for operations to be carried out, known as Steps. Other areas in ML pipelines: transfer learning, anomaly detection, vector similarity search, clustering, etc. 1 Data Ingestion (e.g.,

ML 52

ML ML Machine Learning Machine Learning 52

IBM Journey to AI blog

AUGUST 22, 2024

In recognizing the benefits of event-driven architectures, many companies have turned to Apache Kafka for their event streaming needs. Apache Kafka enables scalable, fault-tolerant and real-time processing of streams of data—but how do you manage and properly utilize the sheer amount of data your business ingests every second?

Apache Kafka 40

Apache Kafka EDA Clustering 40