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. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Grouparoo

DECEMBER 7, 2021

If inadequate quality data enters a process, then any integrity change will not affect the quality of the data, just its correctness. Ensuring good data quality is a separate topic from maintaining good data integrity. Why is Data Integrity Important? Data integrity is one of the triads of data security.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

Databand.ai

JULY 19, 2023

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52