Analytics Vidhya

DECEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. The post Introduction to Apache Kafka: Fundamentals and Working appeared first on Analytics Vidhya. All these sites use some event streaming tool to monitor user activities. […]. . […].

Apache Kafka 315

Apache Kafka Data Science Analytics Analytics 315

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

Women in Big Data

OCTOBER 9, 2024

Refer to Unlocking the Power of Big Data Article to understand the use case of these data collected from various sources. Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

DECEMBER 9, 2024

Summary: This article provides a comprehensive guide on Big Data interview questions, covering beginner to advanced topics. This article helps aspiring candidates excel by covering the most frequently asked Big Data interview questions. Familiarise yourself with essential tools like Hadoop and Spark. What is YARN in Hadoop?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

ODSC - Open Data Science

JUNE 1, 2023

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. Apache Pinot is a real-time OLAP database built at LinkedIn to deliver scalable real-time analytics with low latency. He tweets at @markhneedham.

Analytics 98

Analytics Analytics Apache Kafka Data Science 98

Alation

AUGUST 4, 2022

In this article, we’ll take stock of what big data has achieved from a c-suite perspective (with special attention to business transformation and customer experience.). “Setting up Hadoop on-premises was a huge undertaking. Ten years later, there’s no doubt much progress has been made.

Big Data 95

Big Data Big Data Apache Kafka Data Lakes 95

Pickl AI

NOVEMBER 4, 2024

This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52