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 92

EDA Apache Kafka Clustering Data Governance 92

ODSC - Open Data Science

JUNE 1, 2023

The bit that I’ve highlighted in bold is the most important part of the definition in my opinion. We’re going to assume that the pizza service already captures orders in Apache Kafka and is also keeping a record of its customers and the products that they sell in MySQL.

Analytics 98

Analytics Analytics Apache Kafka Data Science 98

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?

EDA 40

EDA Apache Kafka Clustering 40

Pickl AI

OCTOBER 21, 2024

Data Definition Language (DDL) DDL allows users to define the structure of the database. In response, Twitter has implemented various solutions, including Apache Kafka, a distributed streaming platform that helps manage the data flow from user interactions.

Database 52

Database Apache Kafka Machine Learning Machine Learning 52

Mlearning.ai

AUGUST 4, 2023

To achieve the task effectively, the definition for large enterprises was provided to ChatGPT, including the following categories: ‘500 to 999 employees’, ‘5,000 to 9,999 employees’, ‘1,000 to 4,999 employees’, and ‘10,000 or more employees’. Apache Kafka and R abbitMQ are particularly popular in LEs. NET Framework (1.0–4.8)’

Database 52

Database Apache Kafka SQL AI 52

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. This removes the need for complex CI/CD. How mature is it?

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

JULY 8, 2024

Definition and Explanation of Data Pipelines A data pipeline is a series of interconnected steps that ingest raw data from various sources, process it through cleaning, transformation, and integration stages, and ultimately deliver refined data to end users or downstream systems.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52