Analytics Vidhya

AUGUST 19, 2022

Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process. The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. The post AWS Glue for Handling Metadata appeared first on Analytics Vidhya.

Metadata 370

Metadata ETL Categorization Big Data 370

Pickl AI

APRIL 9, 2025

Summary: This guide explores the top list of ETL tools, highlighting their features and use cases. To harness this data effectively, businesses rely on ETL (Extract, Transform, Load) tools to extract, transform, and load data into centralized systems like data warehouses. What is ETL? What are ETL Tools?

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AWS Machine Learning Blog

JUNE 25, 2024

Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. We provide a prompt example for feedback categorization. Extracting valuable insights from customer feedback presents several significant challenges.

Automation 127

Automation Prompt Engineer Prompt Engineering Categorization 127

Pickl AI

AUGUST 31, 2023

Accordingly, the need for Data Profiling in ETL becomes important for ensuring higher data quality as per business requirements. What is Data Profiling in ETL? Determine the range of values for categorical columns. It supports metadata analysis, data lineage, and data quality assessment. integer, string, date).

ETL 52

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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Artificial Corner

JUNE 6, 2023

These techniques can be applied to a wide range of data types, including numerical data, categorical data, text data, and more. NoSQL databases are often categorized into different types based on their data models and structures. It helps data engineering teams by simplifying ETL development and management. Morgan Kaufmann.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52