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.

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EDA Apache Kafka Clustering Data Governance 92

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?

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EDA Apache Kafka Clustering 40

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.

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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.

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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.,

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ML ML Machine Learning Machine Learning 52