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What is big data and why is it important to Business ?

Analysts Corner

In the age of the internet, smartphones, and social media, the amount of data generated every day has reached unprecedented levels. This data is referred to as big data, and it is transforming the way businesses operate. What is big data?

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Deep Dive into Predictive Analytics Models and Algorithms

Marutitech

The classification models are applied in various domains, especially in finance and retail industries, due to their ability to retrain with the new data and provide a comprehensive analysis to answer business questions. . 2. When looking for any decisive answers, the classification model of predictive modeling is the best choice.

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Introduction to Sentiment Analysis: Concept, Working, and Application

Marutitech

If your business requires the polarity precisions, then you can classify your polarity categories into the following parts: Very positive . For polarity analysis, you can use the 5-star ratings as a customer review where very positive refers to a five-star rating and very negative refers to a one-star rating. 2.

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ETL Batch Processing: A Comprehensive Guide

Astera

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data integration and warehousing. It also provides a structured and organized way to exchange data between supply chain partners. That’s ETL batch processing.

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ETL Batch Processing: A Comprehensive Guide

Astera

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data warehousing and integration. It also provides a structured and organized way to exchange data between supply chain partners. That’s ETL batch processing.

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Data Integration 101: Understanding The Basics

Astera

Today, organizations frequently employ cloud-based data warehouses or data lakes to benefit from the cloud’s uncapped performance, flexibility, and scalability. They are also referred to as data integration strategies or methods. means you can make critical business decisions with higher levels of confidence.

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Data Integration 101: Understanding The Basics

Astera

Today, organizations frequently employ cloud-based data warehouses or data lakes to benefit from the cloud’s uncapped performance, flexibility, and scalability. They are also referred to as data integration strategies or methods. means you can make critical business decisions with higher levels of confidence.