Grouparoo

DECEMBER 7, 2021

Integrity is a critical aspect of data processing; if the integrity of the data is unknown, the trustworthiness of the information it contains is unknown. What is Data Integrity? Data integrity is the accuracy and consistency over the lifetime of the content and format of a data item.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

ProjectPro

FEBRUARY 8, 2023

ETL developers play a significant role in performing all these tasks. ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization. Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required.

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

The extracted data is often raw and unstructured and may come in various formats such as text, images, audio, or video. The extraction process requires careful planning to ensure data integrity. It’s crucial to understand the source systems and their structure, as well as the type and quality of data they produce.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

ProjectPro

NOVEMBER 30, 2021

The data sources can be an RDBMS or some file formats like XLSX, CSV, JSON, etc., We need to extract data from all the sources and convert it into a single format for standardized processing. Validate data: Validating the data after extraction is essential to ensure it matches the expected range and rejects it if it does not.

Process 52

Process Data Pipeline Data Warehouse AWS 52