Data Wrangling
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What is Data Wrangling?
Data wrangling, also known as data munging, is the process of transforming and mapping data from one "raw" data form into another format to make it more valuable for downstream use. This typically involves cleaning, structuring, and enriching raw data into a desired usable format. It is commonly used to prepare data for analysis, machine learning, and reporting, ensuring data quality and consistency across different sources.
What other technologies are related to Data Wrangling?
Data Wrangling Competitor Technologies
ETL
ETL (Extract, Transform, Load) is a traditional data integration approach that overlaps with data wrangling in its transformation stage. Data wrangling tools can sometimes replace or augment ETL processes, especially for more interactive data exploration.
SAS
SAS is a software suite used for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. While some overlap in functionality exists, SAS is a more full-fledged solution that competes with data wrangling tools/approaches
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Data Wrangling Complementary Technologies
data preprocessing
Data Wrangling inherently includes data preprocessing steps to clean and prepare data for analysis.
Data Visualization
Data Visualization is a complementary technique used after data wrangling to present data in an understandable format.
data mining
Data mining can benefit greatly from well-wrangled data; it utilizes wrangled data to discover patterns.
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Which job functions commonly mention Data Wrangling?
Data Scientist
0.1% of all Data Scientist jobs mention Data Wrangling
View 305
jobs on Sumble
Data Engineer
101 Data Engineer jobs mention Data Wrangling
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jobs on Sumble
Data, Analytics & Machine Learning
553 Data, Analytics & Machine Learning jobs mention Data Wrangling
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jobs on Sumble
Machine Learning
30 Machine Learning jobs mention Data Wrangling
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jobs on Sumble
Data Analyst
179 Data Analyst jobs mention Data Wrangling
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jobs on Sumble
Which organizations are mentioning Data Wrangling?
JPMorgan Chase
Finance and Insurance
BMO Financial Group
Finance and Insurance
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