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Data Ingestion Featuring AWS

Analytics Vidhya

Introduction Big Data is everywhere, and it continues to be a gearing-up topic these days. And Data Ingestion is a process that assists a group or management to make sense of the ever-increasing volume and complexity of data and provide useful insights. This […].

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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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Announcing simplified XML data ingestion

databricks

We're excited to announce native support in Databricks for ingesting XML data. XML is a popular file format for representing complex data.

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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

Moreover, data is often an afterthought in the design and deployment of gen AI solutions, leading to inefficiencies and inconsistencies. Unlocking the full potential of enterprise data for generative AI At IBM, we have developed an approach to solving these data challenges.

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Managed Sportlogiq to Databricks Data Ingestion Pipelines for NHL Teams: A Game-Changing Alliance

databricks

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

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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.