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Apache Flume Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage.

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A Dive into Apache Flume: Installation, Setup, and Configuration

Analytics Vidhya

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

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Han Heloir, MongoDB: The role of scalable databases in AI-powered apps

AI News

Additionally, they accelerate time-to-market for AI-driven innovations by enabling rapid data ingestion and retrieval, facilitating faster experimentation. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Flipboard

Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

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Basil Faruqui, BMC: Why DataOps needs orchestration to make it work

AI News

If you think about building a data pipeline, whether you’re doing a simple BI project or a complex AI or machine learning project, you’ve got data ingestion, data storage and processing, and data insight – and underneath all of those four stages, there’s a variety of different technologies being used,” explains Faruqui.

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A Simple Guide to Real-Time Data Ingestion

Pickl AI

What is Real-Time Data Ingestion? Real-time data ingestion is the practise of gathering and analysing information as it is produced, without little to no lag between the emergence of the data and its accessibility for analysis. Traders need up-to-the-second information to make informed decisions.

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Drasi by Microsoft: A New Approach to Tracking Rapid Data Changes

Unite.AI

Understanding Drasi Drasi is an advanced event-driven architecture powered by Artificial Intelligence (AI) and designed to handle real-time data changes. Traditional data systems often rely on batch processing, where data is collected and analyzed at set intervals.