ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Extract, transform, and load data into a target system.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Databand.ai

AUGUST 30, 2023

These tools play a vital role in data preparation, which involves cleaning, transforming and enriching raw data before it can be used for analysis or machine learning models. There are several types of data testing tools. This is part of a series of articles about data quality.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Databand.ai

JULY 19, 2023

However, ETL can be a better choice in scenarios where data quality and consistency are paramount, as the transformation process can include rigorous data cleaning and validation steps. It should be able to handle increases in data volume and changes in data structure without affecting the performance of the ELT process.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52