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. It provides organizations with […].

Metadata 370

Metadata ETL Categorization Big Data 370

Marktechpost

JUNE 13, 2024

ELT Pipelines: Typically used for big data, these pipelines extract data, load it into data warehouses or lakes, and then transform it. It is suitable for distributed and scalable large-scale data processing, providing quick big-data query and analysis capabilities.

ETL 126

ETL Machine Learning Data Ingestion Big Data 126

Unite.AI

SEPTEMBER 16, 2024

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data.

Data Integration 167

Data Integration ETL Big Data Automation 167

Unite.AI

SEPTEMBER 16, 2024

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data. Visit Hevo Data → 7.

Data Integration 167

Data Integration ETL Big Data Automation 167

The MLOps Blog

MARCH 15, 2023

Best data pipeline tools: Apache Airflow | Source Categorization Open Source Batch data processing Pros Fully customizable and supports complex business use cases. Best data pipeline tools: Talend | Source Categorization Open Source Batch data processing Pros Apache license makes it free to use.

ETL 59

ETL Categorization Data Integration Automation 59

Marktechpost

AUGUST 27, 2024

This article lists the top data analysis courses that can help you build the essential skills needed to excel in this rapidly growing field. Introduction to Data Analytics This course provides a comprehensive introduction to data analysis, covering the roles of data professionals, data ecosystems, and Big Data tools like Hadoop and Spark.

Data Analysis 56

Data Analysis Python Data Scientist ETL 56

Pickl AI

OCTOBER 10, 2024

Aggregation : Combining multiple data points into a single summary (e.g., Normalisation : Scaling data to fall within a specific range, often to standardise features in Machine Learning. Encoding : Converting categorical data into numerical values for better processing by algorithms. calculating averages).

ETL 52

ETL Data Quality Machine Learning Business Intelligence 52