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Data Preparation and Raw Data in Machine Learning

KDnuggets

In this article, I will describe the data preparation techniques for machine learning.

Raw Data 152
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Data Preparation with SQL Cheatsheet

KDnuggets

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

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Best Data Preparation Tools for 2025 [Ranked by Popularity]

Hevo

Data preparation tools are very important in the analytics process. They transform raw data into a clean and structured format ready for analysis. These tools simplify complex data-wrangling tasks like cleaning, merging, and formatting, thus saving precious time for analysts and data teams. 

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Simplifying BI pipelines with Snowflake dynamic tables

ThoughtSpot

When created, Snowflake materializes query results into a persistent table structure that refreshes whenever underlying data changes. These tables provide a centralized location to host both your raw data and transformed datasets optimized for AI-powered analytics with ThoughtSpot.

BI 111
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Tableau Prep Builder: Streamline Your Data Preparation Process

Edureka

Tableau Prep is a fast and efficient data preparation and integration solution (Extract, Transform, Load process) for preparing data for analysis in other Tableau applications, such as Tableau Desktop. simultaneously making raw data efficient to form insights.

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Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

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A Peek Into the World of Data Science

Knowledge Hut

From tracking the websites we visit - how long, how often - to what we purchase and where we go - our digital footprint is an immense source of data for a lot of businesses. Between our laptops, smartphones and our tablets - almost everything we do translates into some form of data. It sounds like a mighty hefty job, doesn’t it?