Tech Insights

Data Extraction

Last updated , generated by Sumble
Explore more →

What is Data Extraction?

Data extraction is the process of retrieving data from various sources, which are often unstructured or semi-structured, and converting it into a structured format that can be easily processed and analyzed. Common uses include web scraping for market research, extracting information from documents for automation, and migrating data between different systems.

What other technologies are related to Data Extraction?

Data Extraction Competitor Technologies

Web Scraping is a technique used to extract data from websites, often used as an alternative to more structured data extraction methods.
mentioned alongside Data Extraction in 4% (63) of relevant job posts

Data Extraction Complementary Technologies

Data Extraction methods can be used on Relational Database Management systems to extract specific data from them.
mentioned alongside Data Extraction in 76% (508) of relevant job posts
Data Integration is essential for bringing together data extracted from various sources to be analyzed and used effectively.
mentioned alongside Data Extraction in 1% (91) of relevant job posts
ETL (Extract, Transform, Load) processes are often used in conjunction with data extraction to prepare the data for storage and analysis.
mentioned alongside Data Extraction in 0% (88) of relevant job posts

Which job functions mention Data Extraction?

Job function
Jobs mentioning Data Extraction
Orgs mentioning Data Extraction
Data, Analytics & Machine Learning

Which organizations are mentioning Data Extraction?

Organization
Industry
Matching Teams
Matching People
Data Extraction
Kaiser Permanente
Health Care and Social Assistance

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.