Analytics Vidhya

DECEMBER 30, 2022

All these sites use some event streaming tool to monitor user activities. […]. The post Introduction to Apache Kafka: Fundamentals and Working appeared first on Analytics Vidhya.

Apache Kafka 291

Apache Kafka Data Science Analytics Analytics 291

ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

IBM Journey to AI blog

AUGUST 29, 2024

Event-driven businesses across all industries thrive on real-time data, enabling companies to act on events as they happen rather than after the fact. This is where Apache Flink shines, offering a powerful solution to harness the full potential of an event-driven business model through efficient computing and processing capabilities.

Apache Kafka 45

Apache Kafka Hadoop ETL Data Pipeline 45

Data Science Dojo

JULY 24, 2023

Hadoop Distributed File System (HDFS) : HDFS is a distributed file system designed to store vast amounts of data across multiple nodes in a Hadoop cluster. Distributed File Systems : Distributed Systems often rely on distributed file systems to manage data storage across nodes and ensure efficient data access and retrieval.

Big Data 195

Big Data Big Data Data Engineering Data Engineering 195

Pickl AI

NOVEMBER 4, 2024

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

JUNE 1, 2023

To understand what it means, we should start by thinking of the world in terms of events, where an event is a thing that happens. And we are going to take those events, become aware of them, and understand them. Stores events in a durable manner so that downstream components can process them.

Analytics 98

Analytics Analytics Apache Kafka Data Science 98

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52