Monday Morning Data Chat
#78 - Data Warehousing in 2022, Textual ETL, and More w/ Bill Inmon
Apr 18, 2022
Bill Inmon, the father of the data warehouse, discusses textual ETL and data warehousing in 2022. He explores the challenges in analyzing text data and the solution of textual ETL technology. They also delve into forest rim technology, IBM's Watson text analytics, and the misconception of data mesh replacing data warehouses.
01:02:28
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Quick takeaways
- Organizations often overlook the business value of text data in data warehousing, which presents challenges when analyzing large amounts of patient data simultaneously.
- Textual ETL technology allows organizations to efficiently convert text data into structured data, enabling analysis of significant numbers of records and identifying patterns related to diseases or conditions.
Deep dives
The Value of Text in Data Warehousing
The podcast episode explores the importance of text in data warehousing. The speaker highlights the business value of text data that is often ignored by organizations. The example of Electronic Health Records (EHR) demonstrates how the majority of the record is in the form of text, which presents challenges when analyzing large amounts of patient data simultaneously. The speaker emphasizes that while current database management systems are designed for repetitive data, they struggle with non-repetitive text data. Additionally, the speaker mentions the complexity of handling multiple languages within text data.
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