IBM Journey to AI blog

SEPTEMBER 4, 2024

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users. How does Apache Kafka work?

Apache Kafka 59

Apache Kafka Internet of Things Data Pipeline Clustering 59

Analytics Vidhya

SEPTEMBER 22, 2022

Dale Carnegie” Apache Kafka is a Software Framework for storing, reading, and analyzing streaming data. The Internet of Things(IoT) devices can generate a large […]. The post Build a Simple Realtime Data Pipeline appeared first on Analytics Vidhya. We learn by doing.

Data Pipeline 258

Data Pipeline Apache Kafka Internet of Things Data Science 258

Data Science Dojo

JULY 24, 2023

The generation and accumulation of vast amounts of data have become a defining characteristic of our world. This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. databases), semi-structured data (e.g.,

Big Data 195

Big Data Big Data Data Engineering Data Engineering 195

Pickl AI

JULY 29, 2024

It utilises the Hadoop Distributed File System (HDFS) and MapReduce for efficient data management, enabling organisations to perform big data analytics and gain valuable insights from their data. In a Hadoop cluster, data stored in the Hadoop Distributed File System (HDFS), which spreads the data across the nodes.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Pickl AI

JULY 30, 2024

Its architecture includes FlowFiles, repositories, and processors, enabling efficient data processing and transformation. With a user-friendly interface and robust features, NiFi simplifies complex data workflows and enhances real-time data integration. Its visual interface allows users to design complex ETL workflows with ease.

ETL 52

ETL Data Lakes Big Data Big Data 52

Pickl AI

JULY 20, 2023

Web and App Analytics Projects: These projects involve analyzing website and app data to understand user behaviour, improve user experience, and optimize conversion rates. Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential.

Analytics 40

Analytics Analytics Big Data Big Data 40

The MLOps Blog

FEBRUARY 5, 2023

The machine learning model is part of the Stream processing engine, and it provides the logic that helps the streaming data pipeline expose features within the stream and potentially within a historical data store. It can be used to collect, store, and process streaming data in real-time.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72