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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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Most Frequently Asked Azure Data Factory Interview Questions

Analytics Vidhya

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

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Upstage AI Introduces Dataverse for Addressing Challenges in Data Processing for Large Language Models

Marktechpost

Utilizing frameworks like Slurm and Spark enables efficient big data management, while data quality improvements through deduplication, decontamination, and sentence length adjustments refine training datasets. The ETL (Extract, Transform, Load) process is also critical in aggregating and processing data from varied sources.

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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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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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Build a news recommender application with Amazon Personalize

AWS Machine Learning Blog

You can take two different approaches to ingest training data: Batch ingestion – You can use AWS Glue to transform and ingest interactions and items data residing in an Amazon Simple Storage Service (Amazon S3) bucket into Amazon Personalize datasets.

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Unfolding the Details of Hive in Hadoop

Pickl AI

Thus, making it easier for analysts and data scientists to leverage their SQL skills for Big Data analysis. It applies the data structure during querying rather than data ingestion. How Data Flows in Hive In Hive, data flows through several steps to enable querying and analysis.