Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. Data analytics and visualisation.

Data Warehouse 98

Data Warehouse Azure SQL ETL 98

How to Learn Machine Learning

APRIL 26, 2025

Data Cleaning and Preparation The tasks of cleaning and preparing the data take place before the analysis. This includes duplicate removal, missing value treatment, variable transformation, and normalization of data.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

JULY 25, 2024

Talend A data integration platform that offers a suite of tools for data ingestion, transformation, and management. AWS Glue A fully managed ETL service that makes it easy to prepare and load data for analytics. It automates the process of data discovery, transformation, and loading.

Apache Kafka 52

Apache Kafka Data Lakes Data Warehouse Data Quality 52

DagsHub

OCTOBER 23, 2024

Now that you know why it is important to manage unstructured data correctly and what problems it can cause, let's examine a typical project workflow for managing unstructured data. They enable flexible data storage and retrieval for diverse use cases, making them highly scalable for big data applications. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52