Видео

Data Validation on different levels of Analysis - DB, DW, Reporting

Efficient data validation techniques
Видео

Data Validation on different levels of Analysis - DB, DW, Reporting

Efficient data validation techniques
  • Продолжительность
    25 минут
  • Уровень слушателя
    Middle/Senior
  • Фоновый просмотр
    Рекомендуем смотреть слайды для понимания
  • Языки
    Английский
О чем это видео?
Maryna discusses data validation techniques for improving data quality in big data environments. She emphasizes the importance of completeness, correctness, and consistency in data, shares tools like DQ and DataWeek for automated quality checks, and offers tips for effective reporting and analysis to ensure accurate business decisions.
Что вы узнаете из этой лекции:
  • What are the three C's of data quality?
  • How to make sure all data required for models is properly gathered and model works well?
  • How does DQ library assist in data validation?
  • How to check query performance?
  • What challenges arise with missing data in reporting?
Maryna Manulik
Business Intelligence Analyst at AMAZON
Strong Software Engineer, and Business Analysis experience for 10+ years in BI, e-Commerce, CMS and BPM. Extensive experience in Database/Data Warehousing/Data Processing and Data Visualization technologies, strong data modeling skills. Helping people to build a strong foundation.
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