Remove Business Analyst Remove Cloud Storage Remove Data Collection Remove Data Validation
article thumbnail

What is ETL Pipeline? Process, Considerations, and Examples

ProjectPro

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52
article thumbnail

How to Set Data Quality Standards for Your Company the Right Way

Monte Carlo

Data freshness (aka data timeliness) means your data should be up-to-date and relevant to the timeframe of analysis. Data validity means your data conforms to the required format, type, or range of values. Example: Email addresses in the customer database should match a valid format (e.g.,